w/e 2026-02-15

Hello.

There’s a new album by Remember Sports, The Refrigerator, which I like. Here it is:


§ Fixing things news:

  • The plumber came and made the hole in the ceiling bigger so he could push some pipes together and smear sealant around the join. Hopefully that’s it (other than repairing the hole one day).
  • I took the hi-tech Kia e-Niro to the local garage where the man replaced its lo-tech 12V battery with a new one. Hopefully that’s fine now.

§ This week I started work on sorting out some data for my Mum’s website. I scanned in two versions of a table (about 1,000 rows): one done on a typewriter in the 1960s, one on a dot-matrix printer in the 1980s or maybe 1990s. Then started re-typing the latter into a spreadsheet, along with matching handwritten notes from the 1960s version. Then I’ll be able to convert it to a <table> for the website.

Turning the dot-matrix scans into a spreadsheet seems like the kind of thing that some people would ask their favourite AI to do for them. Maybe asking one of these fascist children for help would be impressively good? But even if it was, I’d need to check every cell with the original to make sure it’s correct, including interpolating the ditto marks, and the occasional cells that span multiple rows or columns.

I much prefer the laborious but easy task of re-typing it all carefully, while listening to music. I have the time and when I finish I’ll have a sense of satisfaction rather than the dirty feeling that I’m a collaborator.

It’s getting harder to avoid though. I’m currently using the new version of Apple Numbers (I now have two competing versions of Numbers on my Mac? Good work Tim.) which is part of the new Creative Studio bundle in which you can pay to upgrade to [some AI features I guess]. I was expecting an upsell somewhere, from the company that once valued user experience over everything. What I wasn’t expecting was…

I dragged a selection down some columns to continue filling them with zeros, spreadsheet basics. But the new selection had a yellow background and a pop-up inviting me to use Magic Fill. I could Accept or Reject these “magic” results. Accept involved subscribing to Creator Studio. Reject erased the new selection. This happened several times in a row, until it suddenly stopped. No idea how it decides to, you know, work as opposed to hold you hostage.

Of course, unlike the standard selection expansion, the “magic” results did not actually continue to fill the cells with zeros, but hyphens from a different column entirely.


§ Yesterday ooh.directory appeared on Hacker News again, getting to the top of the front page. I appreciate that those who pointed it out to me treated this “honour” with the appropriate level of condolences and 😬.

I haven’t yet added or deleted the hundreds of tech blogs by HN men that were suggested the first time the site appeared there, and now there are 250 or so more. I naively thought that having a form for suggesting blogs would result in loads of undiscovered, quirky, niche treasures.


§ I’ve been looking for music I like that I could potentially play on the guitar with my limited skills. When I’ve thought of something this involves ending up on UltimateGuitar.com and comparing the various user-contributed tabs for that song.

I assume they’re useful as they are to someone who’s good at guitar and/or used to sort of winging it with music playing. But for someone who learned piano only by reading music – no knowledge of keys, chords, improvising, etc, they’re usually far too vague.

How many beats do each of these notes take? How, exactly, do the lyrics line up with the notes? Why does this tab have different notes, and a different amount of them, despite both authors insisting they’ve listened closely to the music?

I started off using the free and surprisingly excellent and free MuseScore 4 to re-write a couple of tabs into something more comprehensible to me. But that still required some accuracy from the original tabs.

Then I remembered Soundslice which I heard of years ago, and wanted to try, but had no need for. It’s been great: have your song play at any speed and sync it with your notation to work out exactly where notes and words go. It works for free with YouTube videos but if you pay you can upload an MP3 and have it split the audio into stems – vocals, guitar, etc – which makes the task easier.

Like re-typing into a spreadsheet, re-keying a mostly-accurate but too-vague tab into smart-looking notation, and lining up the lyrics exactly, is enormously satisfying.


§ I forgot to mention last week that we finished season two of The Night Manager which was… fine I guess, but ridiculous. I can’t put my finger on why the parts of it that are unbelievable are so annoying, and seem so hard to suspend my disbelief over. We’re currently watching season four of Industry which also contains a reasonable percentage of nonsense but it doesn’t really matter. Maybe it seems clearer that everyone knows it’s over-the-top, it is what it is, so we can relax and enjoy it. While Night Manager has some pretence at being a bit gritty and “real” and so it’s harder to get over the big and little eye-rollers (like how no matter where he goes in the world, Pine can find a shirt that is not only clean and pressed, but fits him perfectly, even in an abandoned house in the jungle).


§ We watched Small Prophets which reviewers seem to love but we were a little disappointed. It was nice enough, and had some lovely moments but it felt rather lacking. The plot wasn’t especially gripping – I wasn’t expecting edge-of-my-seat tension but I was less interested in what was going to happen compared to The Detectorists. And I didn’t feel there were any relationships as interesting as those in the latter show either – lots of quirky characters bouncing off each other but little connection.

An incidental point: I’ve noticed that the inhabitants of care homes in TV series usually seem much more capable, physically and mentally, than the majority of those I’ve seen in the few homes I’ve spent time in. I assume it’s because they’re populated by supporting artists of a certain age who are, by necessity, “with it” and they’re not given any direction other than “walk unsteadily” or “sleep in this armchair”.


§ Yesterday I travelled over to Essex for a few more days of sorting out the old family home. Currently feeling utterly overwhelmed by the quantity and emotional weight of all the stuff. But we will make progress this week.


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Sunday assorted links

1. Netflix series for Pamuk? (NYT)

2. Maybe America needs some new cities (NYT).

3. No Centre Pompidou for New Jersey.

4. Profile of Rod Dreher.

5. Beatles markets in everything, pricey.

6. AMA with Claude 4.6.

7. China and Seedance.

The post Sunday assorted links appeared first on Marginal REVOLUTION.

       

How technology has already changed the world in my lifetime

Photo by Nataev via Wikimedia Commons

AI is changing the world very quickly right now, having just radically altered the entire software industry just in the last few months. It’s a time of dizzying technological change, and it’s easy to feel a lot of future shock right now.

So I thought I’d repost something I wrote back in 2023, when LLMs were just starting to have a big effect on the world. Reflecting on the changes in my lifetime, I realized that the internet, social media, smartphones, and other digital technologies had already altered the world of my childhood into something almost totally unrecognizable. AI is changing how we think, learn, and work, but the internet already wreaked deep, lasting, confusing changes on how we socialize with each other and how we present ourselves to the world. Humans are fundamentally social creatures, so to be honest I’m not sure which has been the more wrenching change (though of course AI is just getting started).

Anyway, here’s the original post.


In 1970, Alvin Toffler published Future Shock, a book claiming that modern people feel overwhelmed by the pace of technological change and the social changes that result. I’m starting to think that we ward off future shock by minimizing the scale and extent of the changes we experience in our life. I tend to barely notice the differences in my world from year to year, and when I do notice them they generally seem small enough to be fun and exciting rather than vast and overwhelming. Only when I look back on the long sweep of decades does it stun my just how much my world fails to resemble the one I grew up in.

Back in March, Tyler Cowen wrote a widely read (and very good) piece about the rapid progress in generative AI. I agree that AI will change the world, usually in ways we’ve barely thought of yet. And I love Tyler’s conclusion that we should embrace the change and ride the wave instead of fearing it and trying to hold it back. But I do disagree when Tyler says we haven’t already been living in a world of radical change:

For my entire life, and a bit more, there have been two essential features of the basic landscape:

1. American hegemony over much of the world, and relative physical safety for Americans.

2. An absence of truly radical technological change…

In other words, virtually all of us have been living in a bubble “outside of history.”…Hardly anyone you know, including yourself, is prepared to live in actual “moving” history.

Paul Krugman made a similar case back in 2011, using the example of how few appliances in his kitchen had changed in recent decades:

The 1957 owners [of my kitchen] didn’t have a microwave, and we have gone from black and white broadcasts of Sid Caesar to off-color humor on The Comedy Channel, but basically they lived pretty much the way we do. Now turn the clock back another 39 years, to 1918 — and you are in a world in which a horse-drawn wagon delivered blocks of ice to your icebox, a world not only without TV but without mass media of any kind (regularly scheduled radio entertainment began only in 1920). And of course back in 1918 nearly half of Americans still lived on farms, most without electricity and many without running water. By any reasonable standard, the change in how America lived between 1918 and 1957 was immensely greater than the change between 1957 and the present.

But when I look back on the world I lived in when I was a kid in 1990, it absolutely stuns me how different things are now. The technological changes I’ve already lived through may not have changed what my kitchen looks like, but they have radically altered both my life and the society around me. Almost all of these changes came from information technology — computers, the internet, social media, and smartphones.

Here are a few examples.

Screen time has eaten human life

If you went back to 1973 and made a cheesy low-budget sci-fi film about a future where humans sit around looking at little glowing hand-held screens, it might have become a cult classic among hippie Baby Boomers. Fast forward half a century, and this is the reality I live in. When I go out to dinner with friends or hang out at their houses, they are often looking at their phones instead of interacting with anything in the physical world around them.

Nor is this just the people I hang out with. Just between 2008 and 2018, American adults’ daily time spent on social media more than doubled, to over 6 hours a day.

About a third of the populace is online “almost constantly”.

Source: Pew

All this screen time doesn’t necessarily show up in the productivity statistics — in fact, it might lower measured productivity, by inducing people to goof off more on their phones during work hours. But the reorientation of human life away from the physical world and toward a digital world of our own creation represents a real and massive change in the world nonetheless. To some extent, we already live in virtual reality.

The shift of human life from offline to online has profound implications for how we interact with each other. One example is how couples meet in the modern day. Dating apps have taken over from friends and work as the main ways that people meet romantic partners:

Source: Statista

The reorientation of social relationships to the online world is what makes the digital revolution different than the advent of television. TV involves staring at a screen for long periods of time, but it doesn’t let people talk to each other and form social bonds. Arguably, talking to each other and forming social bonds is the most important thing we do in our entire lives — personal relationships are the single biggest determinant of happiness. For almost all of human history, even in the age of telephones, our relationships were governed by physical proximity — who lived near us, worked with us, or could meet us in real life. That is suddenly no longer true.

What broader effects this will have on our society, of course, remains to be seen. One of my hypotheses is that online interaction will encourage people to identify with “vertical” communities — physically distant people who share their identities and interests — rather than the physical communities around them. This could obviously have profoundly disruptive impacts on cities and even nations, which are organized around contiguous physical territory. Perhaps this is already happening, and some of our modern political and social strife is due to the fact that we no longer have to get along with our neighbors in order to have a rich social life.

I once was lost, but now am found

Three decades ago, not getting lost was one of the most important goals of human labor and human social organization. Over the millennia we developed whole systems of landmarks, maps, directions, road names, and even social relations in order to make sure that we always knew how to find our way back to security and shelter. The possibility of getting lost was an ever-present worry for anyone who drove their car, or walked in the woods, or took a vacation to a strange place.

And now that foundational human experience is just…gone. Unless your phone runs out of battery or you’re in a very remote wilderness area, GPS and Google Maps will always be able to guide you home. Much of our physical and social wayfinding infrastructure, built up over so many centuries, has instantly been obviated — you don’t have to plan your route or ask for directions, you don’t have to keep close track of landmarks as you drive or walk, you don’t even have to remember the names of roads. The forest has lost its terror.

Of course, there was another kind of fake “getting lost” that could be quite fun, and that’s gone too. It was exhilarating to wander around in a foreign city not knowing what was around you, hunting for restaurants and shops and new neighborhoods to explore. You can still do that if you want, but it’s just imposing unnecessary difficulty for fun — you can just open Google Maps and find the nearest cafe or clothing store or museum or historical monument.

And there’s also a big and important flip side to the fact that no one gets lost anymore — as long as you have your smartphone with you, someone, somewhere, is always able to know where you are. Your location is tracked, wherever you go, even if Apple or Google is nice and respectful enough not to let humans look at that data. China, of course, has far less concern for privacy. But even where privacy rights are respected, governments and corporations are still capable of easily tracking your every move if they feel like it.

Mystery has gone out of the world

I still remember a moment in 2003 when I idly wondered what the Matterhorn looked like. In 1990, answering my curiosity would have required that I go open an encyclopedia, or — if my encyclopedia didn’t have a photo of that particular mountain — to go through the library searching books for a picture. But in 2003, I just typed “Matterhorn” into Google image search, and the picture appeared.

Over the last two decades, there has been a massive proliferation of tools that convey enormous amounts of knowledge, on demand, to anyone who wants it. Wikipedia can teach you the basics of anything from math to history to geography. YouTube tutorials can show you how to fix things in your house, ride a jet ski, or cook a restaurant-quality meal. Google can tell you what anything looks like, or point you to any scientific paper on any topic. And they can give you all this knowledge on demand, from the little screen that you carry with you everywhere, whenever you want it.

This has changed the nature of human life. Just a few decades ago, the knowledge contained in human heads was of utmost importance. If your cabinet was loose or your drain was clogged, you had to know a human being who could fix it. If you wanted to know interesting facts about the world, you had to either ask a human being who knew those facts, or go on an exhaustive search. Wisdom and know-how were profoundly valuable personal attributes. Now they’re much less of a reason for distinction.

Now it’s important to note that understanding and practiced skill are still scarce commodities. YouTube can’t teach you how to be a great violinist (at least, not in 30 minutes), and Wikipedia can’t give you the ability to do difficult math proofs. And the knowledge that can be gained from direct experience is often superior in quality to the knowledge gained from a Google search — for example, if I actually go to the Matterhorn, I can see it from a variety of angles and in a variety of lighting. But overall, humans have taken much of the knowledge that they used to have to carry around in their heads and uploaded it to what is, in effect, a single unified exocortex.

But if ignorance (or at least, the accidental kind, rather than the willful kind) has diminished, mystery has also shrunk. Exploring remote locations, rare objects, and esoteric knowledge is no longer difficult enough to generate quite the same sense of adventure and wonder it once did. Just as GPS has taken some of the adventure out of visiting strange places, the vast sea of internet knowledge has made many other forms of exploration quotidian.

And there’s another kind of mystery that the internet has either eliminated or vastly reduced — the mystery of not knowing other people. In 1990, if I wanted to know what Indians thought about American politics, I’d just have to wonder. Now, I can just open Twitter and ask, and a bunch of Indian people will be happy to inform me of their views. In 1990, talking to someone from another country was a rare and exotic treat; now, it’s just something that we do every day without even really thinking of it. That’s the first time that has ever happened in the history of humankind.

The Universe has memory now

The internet doesn’t just find things for us or allow us to communicate; it also stores information in much larger volumes than books, TV shows, or any other medium that came before. Practically everything you’ve ever typed on the internet is still on the internet. As recently as a few decades ago, most of the things you said and did would be forgotten and misremembered after a fairly short time; now they’re frozen in silicon and magnets.

This has some obvious major consequences for the shape of human life. When you can be “canceled” by an online mob as a 35-year-old for something you said as a teenager, that requires people to be more on guard about what they say for their entire life, even as kids. When any prospective business partner or lover can Google you and find your background (unless you erase it, in which case the prospective partner will be justifiably suspicious), the ability to craft a new persona for yourself, and move beyond the baggage of the past, is limited. On the other hand, remembering what you were like at a younger age, or an argument that you made in a debate a few years ago, is now quite easy. And it’s a lot easier to keep in touch with old friends now.

Technology’s memory involves images and video as well, thanks to the explosion of digital cameras and the increasing capacity of hard drives. Many of the memories we want to preserve in life — our interactions with our offline friends, the places we traveled, the places we lived — now get stored on a hard drive.

Technology weirds the world

A lot of economists tend to think of technological change as being embodied in total factor productivity growth, which has slowed down since 1973 or so. But first of all, there are plenty of things that go into TFP growth besides what we typically think of as technology — there’s education, geographic mobility, a demographic dividend, and so on. As the economist Dietz Vollrath has shown, these factors can explain the entire productivity slowdown, with no need to appeal to a slowing rate of technological progress.

But even more fundamentally, technology changes the world in ways not directly captured by the monetary value of goods and services sold in the market. If our daily activities are redirected toward different sorts of relationships and interactions, that isn’t necessarily something that we’d pay a lot of money for — and yet it means human life is now an entirely different sort of endeavor. If we’re constantly surveilled by corporations and the government, that’s probably something we don’t want, and thus will not pay extra money for, even if rebelling against it would be too much of a hassle for most. And so on.

Sometimes technology grows the economy, but more fundamentally, it always weirds the world. By that I mean that technology changes the nature of what humans do and how we live, so that people living decades ago would think our modern lives bizarre, even if we find them perfectly normal. The information technology boom may not have goosed the productivity numbers as much as many hoped, but it has nevertheless left a deep and transformative impact on the shape of human life.

I’m excited to see if AI brings us a world of radical technology-driven change. But you and I have already been living in a world of radical change for decades now. Maybe the tendency to believe progress has slowed — to focus on the stagnation in our kitchens and not the fact that the world has suddenly become far more transparent, comprehensible, and recorded — is a way of avoiding future shock. But man, when I think of 1990, I can’t help but feel a little overwhelmed by how far we’ve come.


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Eric Schmidt on the future of warfare

 Warfare--the technology by which wars are fought--is changing.

Ukraine’s no man’s land is the future of war
In drone vs drone combat, valuable personnel can be pulled back from the front
Eric Schmidt 

"The writer is former CEO of Google, chair of the Special Competitive Studies Project and an investor in drone technology" 

"Future wars are going to be defined by unmanned weapons. The combination of unblockable satellite communications, cheap spectrum networks and accurate GPS targeting means the only way to fight will be through drone vs drone combat. Drones share data in real time, meaning that many inexpensive platforms can act as a single weapon. They will carry air-to-air missiles to defeat attackers, just like a fighter jet does, but will be cheaper and more abundant.

"The winner of those drone battles will then be able to advance with unmanned ground and maritime vehicles, which move slowly but can carry heavier payloads. These air, land and sea formations will absorb the initial fire and expand what is becoming an increasingly robotic kill zone. Only after the first waves of machines have gone in will human soldiers follow."
 

Natural and Artificial Ice

Excellent Veritasium video on the 19th century ice industry. Shipping ice from America to India would hardly seem like a wise idea—it’s hard to imagine ever getting a committee to approve such a venture—but entrepreneurs are free to try wacky ideas all the time, and sometimes they pay off, resulting in great riches. That’s the story of the “Ice King,” Frederic Tudor, who lost money for years before figuring out the insulation and logistics needed to make the trade profitable.

What I hadn’t fully appreciated is how the ice trade reshaped shipping, diet, and city design before the invention of mechanical refrigeration. Ice created the cold chain, and the cold chain made it possible to move fresh meat, fish, and produce over long distances. That in turn enabled cities to grow far beyond what local agriculture could support and shifted the American diet from salted and smoked provisions toward fresh food.

The profits of the ice trade encouraged investment in artificial ice which initially was met with resistance—natural ice is created by God!—a classic example of incumbents wrapping their economic interests in moral language, a pattern we see repeated with every disruptive technology from margarine to ridesharing.

Lots of lessons in the video about option value, permissionless innovation, and creative destruction. New technologies destroy old industries and create new ones that no one could have foreseen. The moral panic over artificial ice replacing the natural kind is no doubt familiar.

Hat tip: Naveen Nvn

The post Natural and Artificial Ice appeared first on Marginal REVOLUTION.

       

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Conductors to Orchestrators: The Future of Agentic Coding

This post first appeared on Addy Osmani’s Elevate Substack newsletter and is being republished here with the author’s permission.

AI coding assistants have quickly moved from novelty to necessity, where up to 90% of software engineers use some kind of AI for coding. But a new paradigm is emerging in software development—one where engineers leverage fleets of autonomous coding agents. In this agentic future, the role of the software engineer is evolving from implementer to manager, or in other words, from coder to conductor and ultimately orchestrator.

Over time, developers will increasingly guide AI agents to build the right code and coordinate multiple agents working in concert. This write-up explores the distinction between conductors and orchestrators in AI-assisted coding, defines these roles, and examines how today’s cutting-edge tools embody each approach. Senior engineers may start to see the writing on the wall: Our jobs are shifting from “How do I code this?” to “How do I get the right code built?”—a subtle but profound change.

Will every engineer become an orchestrator

What’s the tl;dr of an orchestrator tool? It supports multi-agent workflows where you can run many agents in parallel without them interfering with each other. But let’s talk terminology first.

The Conductor: Guiding a Single AI Agent

In the context of AI coding, acting as a conductor means working closely with a single AI agent on a specific task, much like a conductor guiding a soloist through a performance.

The engineer remains in the loop at each step, dynamically steering the agent’s behavior, tweaking prompts, intervening when needed, and iterating in real time. This is the logical extension of the “AI pair programmer” model many developers are already familiar with. With conductor-style workflows, coding happens in a synchronous, interactive session between human and AI, typically in your IDE or CLI.

Key characteristics: A conductor keeps a tight feedback loop with one agent, verifying or modifying each suggestion, much as a driver navigates with a GPS. The AI helps write code, but the developer still performs many manual steps—creating branches, running tests, writing commit messages, etc.—and ultimately decides which suggestions to accept.

Crucially, most of this interaction is ephemeral: Once code is written and the session ends, the AI’s role is done and any context or decisions not captured in code may be lost. This mode is powerful for focused tasks and allows fine-grained control, but it doesn’t fully exploit what multiple AIs could do in parallel.

Modern tools as conductors

Several current AI coding tools exemplify the conductor pattern:

  • Claude Code (Anthropic): Anthropic’s Claude model offers a coding assistant mode (accessible via a CLI tool or editor integration) where the developer converses with Claude to generate or modify code. For example, with the Claude Code CLI, you navigate your project in a shell and ask Claude to implement a function or refactor code, and it prints diffs or file updates for you to approve. You remain the conductor: You trigger each action and review the output immediately. While Claude Code has features to handle long-running tasks and tools, in the basic usage it’s essentially a smart codeveloper working step-by-step under human direction.
  • Gemini CLI (Google): A command-line assistant powered by Google’s Gemini model, used for planning and coding with a very large context window. An engineer can prompt Gemini CLI to analyze a codebase or draft a solution plan, then iterate on results interactively. The human directs each step and Gemini responds within the CLI session. It’s a one-at-a-time collaborator, not running off to make code changes on its own (at least in this conductor mode).
  • Cursor (editor AI assistant): The Cursor editor (a specialized AI-augmented IDE) can operate in an inline or chat mode where you ask it questions or to write a snippet, and it immediately performs those edits or gives answers within your coding session. Again, you guide it one request at a time. Cursor’s strength as a conductor is its deep context integration—it indexes your whole codebase so the AI can answer questions about any part of it. But the hallmark is that you, the developer, initiate and oversee each change in real time.
  • VS Code, Cline, Roo Code (in-IDE chat): Similar to above, other coding agents also fall into this category. They suggest code or even multistep fixes, but always under continuous human guidance.

This conductor-style AI assistance has already boosted productivity significantly. It feels like having a junior engineer or pair programmer always by your side. However, it’s inherently one-agent-at-a-time and synchronous. To truly leverage AI at scale, we need to go beyond being a single-agent conductor. This is where the orchestrator role comes in.

Engineer as conductor, engineer as orchestrator

The Orchestrator: Managing a Fleet of Agents

If a conductor works with one AI “musician,” an orchestrator oversees the entire symphony of multiple AI agents working in parallel on different parts of a project. The orchestrator sets high-level goals, defines tasks, and lets a team of autonomous coding agents independently carry out the implementation details.

Instead of micromanaging every function or bug fix, the human focuses on coordination, quality control, and integration of the agents’ outputs. In practical terms, this often means an engineer can assign tasks to AI agents (e.g., via issues or prompts) and have those agents asynchronously produce code changes—often as ready-to-review pull requests. The engineer’s job becomes reviewing, giving feedback, and merging the results rather than writing all the code personally.

This asynchronous, parallel workflow is a fundamental shift. It moves AI assistance from the foreground to the background. While you attend to higher-level design or other work, your “AI team” is coding in the background. When they’re done, they hand you completed work (with tests, docs, etc.) for review. It’s akin to being a project tech lead delegating tasks to multiple devs and later reviewing their pull requests, except the “devs” are AI agents.

Modern tools as orchestrators

Over just the past year, several tools have emerged that embody this orchestrator paradigm:

  • GitHub Copilot coding agent (Microsoft): This upgrade to Copilot transforms it from an in-editor assistant into an autonomous background developer. (I cover it in this video.) You can assign a GitHub issue to Copilot’s agent or invoke it via the VS Code agents panel, telling it (for example) “Implement feature X” or “Fix bug Y.” Copilot then spins up an ephemeral dev environment via GitHub Actions, checks out your repo, creates a new branch, and begins coding. It can run tests, linters, even spin up the app if needed, all without human babysitting. When finished, it opens a pull request with the changes, complete with a description and meaningful commit messages. It then asks for your review.

    You, the human orchestrator, review the PR (perhaps using Copilot’s AI-assisted code review to get an initial analysis). If changes are needed, you can leave comments like “@copilot please update the unit tests for edge case Z,” and the agent will iterate on the PR. This is asynchronous, autonomous code generation in action. Notably, Copilot automates the tedious bookkeeping—branch creation, committing, opening PRs, etc.—which used to cost developers time. All the grunt work around writing code (aside from the design itself) is handled, allowing developers to focus on reviewing and guiding at a high level. GitHub’s agent effectively lets one engineer supervise many “AI juniors” working in parallel across different issues (and you can even create multiple specialized agents for different task types).
Delegate tasks to GitHub Copilot
  • Jules, Google’s coding agent: Jules is an autonomous coding agent. Jules is “not a copilot, not a code-completion sidekick, but an autonomous agent that reads your code, understands your intent, and gets to work.” Integrated with Google Cloud and GitHub, Jules lets you connect a repository and then ask it to perform tasks much as you would a developer on your team. Under the hood, Jules clones your entire codebase into a secure cloud VM and analyzes it with a powerful model. You might tell Jules “Add user authentication to our app” or “Upgrade this project to the latest Node.js and fix any compatibility issues.” It will formulate a plan, present it to you for approval, and once you approve, execute the changes asynchronously. It makes commits on a new branch and can even open a pull request for you to merge. Jules handles writing new code, updating tests, bumping dependencies, etc., all while you could be doing something else.

    Crucially, Jules provides transparency and control: It shows you its proposed plan and reasoning before making changes, and allows you to intervene or modify instructions at any point (a feature Google calls “user steerability”). This is akin to giving an AI intern the spec and watching over their shoulder less frequently—you trust them to get it mostly right, but you still verify the final diff. Jules also boasts unique touches like audio changelogs (it generates spoken summaries of code changes) and the ability to run multiple tasks concurrently in the cloud. In short, Google’s Jules demonstrates the orchestrator model: You define the task, Jules does the heavy lifting asynchronously, and you oversee the result.
Jules bugs
  • OpenAI Codex (cloud agent): OpenAI introduced a new cloud-based Codex agent to complement ChatGPT. This evolved Codex (different from the 2021 Codex model) is described as “a cloud-based software engineering agent that can work on many tasks in parallel.” It’s available as part of ChatGPT Plus/Pro under the name OpenAI Codex and via an npm CLI (npm i -g @openai/codex). With the Codex CLI or its VS Code/Cursor extensions, you can delegate tasks to OpenAI’s agent similar to Copilot or Jules. For instance, from your terminal you might say, “Hey Codex, implement dark mode for the settings page.” Codex then launches into your repository, edits the necessary files, perhaps runs your test suite, and when done, presents the diff for you to merge. It operates in an isolated sandbox for safety, running each task in a container with your repo and environment.

    Like others, OpenAI’s Codex agent integrates with developer workflows: You can even kick off tasks from a ChatGPT mobile app on your phone and get notified when the agent is done. OpenAI emphasizes seamless switching “between real-time collaboration and async delegation” with Codex. In practice, this means you have the flexibility to use it in conductor mode (pair-programming in your IDE) or orchestrator mode (hand off a background task to the cloud agent). Codex can also be invited into your Slack channels—teammates can assign tasks to @Codex in Slack, and it will pull context from the conversation and your repo to execute them. It’s a vision of ubiquitous AI assistance, where coding tasks can be delegated from anywhere. Early users report that Codex can autonomously identify and fix bugs, or generate significant features, given a well-scoped prompt. All of this again aligns with the orchestrator workflow: The human defines the goal; the AI agent autonomously delivers a solution.
What are we coding next Codex
  • Anthropic Claude Code (for web): Anthropic has offered Claude as an AI chatbot for a while, and their Claude Code CLI has been a favorite for interactive coding. Anthropic took the next step by launching Claude Code for web, effectively a hosted version of their coding agent. Using Claude Code for web, you point it at your GitHub repo (with configurable sandbox permissions) and give it a task. The agent then runs in Anthropic’s managed container, just like the CLI version, but now you can trigger it from a web interface or even a mobile app. It queues up multiple prompts and steps, executes them, and when done, pushes a branch to your repo (and can open a PR). Essentially, Anthropic took their single-agent Claude Code and made it an orchestratable service in the cloud. They even provided a “teleport” feature to transfer the session to your local environment if you want to take over manually.

    The rationale for this web version aligns with orchestrator benefits: convenience and scale. You don’t need to run long jobs on your machine; Anthropic’s cloud handles the heavy lifting, with filesystem and network isolation for safety. Claude Code for web acknowledges that autonomy with safety is key—by sandboxing the agent, they reduce the need for constant permission prompts, letting the agent operate more freely (less babysitting by the user). In effect, Anthropic has made it easier to use Claude as an autonomous coding worker you launch on demand.
Discounts with Claude Code
  • Cursor background agents: tl;dr Cursor 2.0 has a multi-agent interface more focused around agents rather than files. Cursor 2 expands its background agents feature into a full-fledged orchestration layer for developers. Beyond serving as an interactive assistant, Cursor 2 lets you spawn autonomous background agents that operate asynchronously in a managed cloud workspace. When you delegate a task, Cursor 2’s agents now clone your GitHub repository, spin up an ephemeral environment, and check out an isolated branch where they execute work end-to-end. These agents can handle the entire development loop—from editing and running code to installing dependencies, executing tests, running builds, and even searching the web or referencing documentation to resolve issues. Once complete, they push commits and open a detailed pull request summarizing their work.

    Cursor 2 introduces multi-agent orchestration, allowing several background agents to run concurrently across different tasks—for instance, one refining UI components while another optimizes backend performance or fixes tests. Each agent’s activity is visible through a real-time dashboard that can be accessed from desktop or mobile, enabling you to monitor progress, issue follow-ups, or intervene manually if needed. This new system effectively treats each agent as part of an on-demand AI workforce, coordinated through the developer’s high-level intent. Cursor 2’s focus on parallel, asynchronous execution dramatically amplifies a single engineer’s throughput—fully realizing the orchestrator model where humans oversee a fleet of cooperative AI developers rather than a single assistant.
Agents layout adjustments for token display
  • Agent orchestration platforms: Beyond individual product offerings, there are also emerging platforms and open source projects aimed at orchestrating multiple agents. For instance, Conductor by Melty Labs (despite its name!) is actually an orchestration tool that lets you deploy and manage multiple Claude Code agents on your own machine in parallel. With Conductor, each agent gets its own isolated Git worktree to avoid conflicts, and you can see a dashboard of all agents (“who’s working on what”) and review their code as they progress. The idea is to make running a small swarm of coding agents as easy as running one. Similarly, Claude Squad is a popular open source terminal app that essentially multiplexes Anthropic’s Claude—it can spawn several Claude Code instances working concurrently in separate tmux panes, allowing you to give each a different task and thus code “10x faster” by parallelizing. These orchestration tools underscore the trend: Developers want to coordinate multiple AI coding agents and have them collaborate or divide work. Even Microsoft’s Azure AI services are enabling this: At Build 2025 they announced tools for developers to “orchestrate multiple specialized agents to handle complex tasks,” with SDKs supporting agent-to-agent communication so your fleet of agents can talk to each other and share context. All of this infrastructure is being built to support the orchestrator engineer, who might eventually oversee dozens of AI processes tackling different parts of the software development lifecycle.
Update workspace sidebar

I found Conductor to make the most sense to me. It was a perfect balance of talking to an agent and seeing my changes in a pane next to it. Its Github integration feels seamless; e.g. after merging PR, it immediately showed a task as “Merged” and provided an “Archive” button.
—Juriy Zaytsev, Staff SWE, LinkedIn

He also tried Magnet:

The idea of tying tasks to a Kanban board is interesting and makes sense. As such, Magnet feels very product-centric.

Conductor versus Orchestrator—Differences

Many engineers will continue to engage in conductor-style workflows (single agent, interactive) even as orchestrator patterns mature. The two modes will coexist.

It’s clear that “conductor” and “orchestrator” aren’t just fancy terms; they describe a genuine shift in how we work with AI.

  • Scope of control: A conductor operates at the micro level, guiding one agent through a single task or a narrow problem. An orchestrator operates at the macro level, defining broader tasks and objectives for multiple agents or for a powerful single agent that can handle multistep projects. The conductor asks, “How do I solve this function or bug with the AI’s help?” The orchestrator asks, “What set of tasks can I delegate to AI agents today to move this project forward?”
  • Degree of autonomy: In conductor mode, the AI’s autonomy is low—it waits for user prompts each step of the way. In orchestrator mode, we give the AI high autonomy—it might plan and execute dozens of steps internally (writing code, running tests, adjusting its approach) before needing human feedback. A GitHub Copilot agent or Jules will try to complete a feature from start to finish once assigned, whereas Copilot’s IDE suggestions only go line-by-line as you type.
  • Synchronous vs asynchronous: Conductor interactions are typically synchronous—you prompt; AI responds within seconds; you immediately integrate or iterate. It’s a real-time loop. Orchestrator interactions are asynchronous—you might dispatch an agent and check back minutes or hours later when it’s done (somewhat like kicking off a long CI job). This means orchestrators must handle waiting, context-switching, and possibly managing multiple things concurrently, which is a different workflow rhythm for developers.
  • Artifacts and traceability: A subtle but important difference: Orchestrator workflows produce persistent artifacts like branches, commits, and pull requests that are preserved in version control. The agent’s work is fully recorded (and often linked to an issue/ticket), which improves traceability and collaboration. With conductor-style (IDE chat, etc.), unless the developer manually commits intermediate changes, a lot of the AI’s involvement isn’t explicitly documented. In essence, orchestrators leave a paper trail (or rather a Git trail) that others on the team can see or even trigger themselves. This can help bring AI into team processes more naturally.
  • Human effort profile: For a conductor, the human is actively engaged nearly 100% of the time the AI is working—reviewing each output, refining prompts, etc. It’s interactive work. For an orchestrator, the human’s effort is front-loaded (writing a good task description or spec for the agent, setting up the right context) and back-loaded (reviewing the final code and testing it), but not much is needed in the middle. This means one orchestrator can manage more total work in parallel than would ever be possible by working with one AI at a time. Essentially, orchestrators leverage automation at scale, trading off fine-grained control for breadth of throughput.

To illustrate, consider a common scenario: adding a new feature that touches frontend and backend and requires new tests. As a conductor, you might open your AI chat and implement the backend logic with the AI’s help, then separately implement the frontend, then ask it to generate some tests—doing each step sequentially with you in the loop throughout. As an orchestrator, you could assign the backend implementation to one agent (Agent A), the frontend UI changes to another (Agent B), and test creation to a third (Agent C). You give each a prompt or an issue description, then step back and let them work concurrently.

After a short time, you get perhaps three PRs: one for backend, one for frontend, one for tests. Your job then is to review and integrate them (and maybe have Agent C adjust tests if Agents A/B’s code changed during integration). In effect, you managed a mini “AI team” to deliver the feature. This example highlights how orchestrators think in terms of task distribution and integration, whereas conductors focus on step-by-step implementation.

It’s worth noting that these roles are fluid, not rigid categories. A single developer might act as a conductor in one moment and an orchestrator the next. For example, you might kick off an asynchronous agent to handle one task (orchestrator mode) while you personally work with another AI on a tricky algorithm in the meantime (conductor mode). Tools are also blurring lines: As OpenAI’s Codex marketing suggests, you can seamlessly switch between collaborating in real-time and delegating async tasks. So, think of “conductor” versus “orchestrator” as two ends of a spectrum of AI-assisted development, with many hybrid workflows in between.

Why Orchestrators Matter

Experts are suggesting that this shift to orchestration could be one of the biggest leaps in programming productivity we’ve ever seen. Consider the historical trends: We went from writing assembly to using high-level languages, then to using frameworks and libraries, and recently to leveraging AI for autocompletion. Each step abstracted away more low-level work. Autonomous coding agents are the next abstraction layer. Instead of manually coding every piece, you describe what you need at a higher level and let multiple agents build it.

As orchestrator-style agents ramp up, we could imagine even larger percentages of code being drafted by AIs. What does a software team look like when AI agents generate, say, 80% or 90% of the code, and humans provide the 10% critical guidance and oversight? Many believe it doesn’t mean replacing developers—it means augmenting developers to build better software. We may witness an explosion of productivity where a small team of engineers, effectively managing dozens of agent processes, can accomplish what once took an army of programmers months. (Note: I continue to believe the code review loop where we’ll continue to focus our human skills is going to need work if all this code is not to be slop.)

One intriguing possibility is that every engineer becomes, to some degree, a manager of AI developers. It’s a bit like everyone having a personal team of interns or junior engineers. Your effectiveness will depend on how well you can break down tasks, communicate requirements to AI, and verify the results. Human judgment will remain vital: deciding what to build, ensuring correctness, handling ambiguity, and injecting creativity or domain knowledge where AI might fall short. In other words, the skillset of an orchestrator—good planning, prompt engineering, validation, and oversight—is going to be in high demand. Far from making engineers obsolete, these agents could elevate engineers into more strategic, supervisory roles on projects.

Toward an “AI Team” of Specialists

Today’s coding agents mostly tackle implementation: write code, fix code, write tests, etc. But the vision doesn’t stop there. Imagine a full software development pipeline where multiple specialized AI agents handle different phases of the lifecycle, coordinated by a human orchestrator. This is already on the horizon. Researchers and companies have floated architectures where, for example, you have:

  • A planning agent that analyzes feature requests or bug reports and breaks them into specific tasks
  • A coding agent (or several) that implements the tasks in code
  • A testing agent that generates and runs tests to verify the changes
  • A code review agent that checks the pull requests for quality and standards compliance
  • A documentation agent that updates README or docs to reflect the changes
  • Possibly a deployment/monitoring agent that can roll out the change and watch for issues in production.

In this scenario, the human engineer’s role becomes one of oversight and orchestration across the whole flow: You might initiate the process with a high-level goal (e.g., “Add support for payment via cryptocurrency in our app”); the planning agent turns that into subtasks; coding agents implement each subtask asynchronously; the testing agent and review agent catch problems or polish the code; and finally everything gets merged and deployed under watch of monitoring agents.

The human would step in to approve plans, resolve any conflicts or questions the agents raise, and give final approval to deploy. This is essentially an “AI swarm” tackling software development end to end, with the engineer as the conductor of the orchestra.

While this might sound futuristic, we see early signs. Microsoft’s Azure AI Foundry now provides building blocks for multi-agent workflows and agent orchestration in enterprise settings, implicitly supporting the idea that multiple agents will collaborate on complex, multistep tasks. Internal experiments at tech companies have agents creating pull requests that other agent reviewers automatically critique, forming an AI/AI interaction with a human in the loop at the end. In open source communities, people have chained tools like Claude Squad (parallel coders) with additional scripts that integrate their outputs. And the conversation has started about standards like the Model Context Protocol (MCP) for agents sharing state and communicating results to each other.

I’ve noted before that “specialized agents for Design, Implementation, Test, and Monitoring could work together to develop, launch, and land features in complex environments”—with developers onboarding these AI agents to their team and guiding/overseeing their execution. In such a setup, agents would “coordinate with other agents autonomously, request human feedback, reviews and approvals” at key points, and otherwise handle the busywork among themselves. The goal is a central platform where we can deploy specialized agents across the workflow, without humans micromanaging each individual step—instead, the human oversees the entire operation with full context.

This could transform how software projects are managed: more like running an automated assembly line where engineers ensure quality and direction rather than handcrafting each component on the line.

Challenges and the Human Role in Orchestration

Does this mean programming becomes a push-button activity where you sit back and let the AI factory run? Not quite—and likely never entirely. There are significant challenges and open questions with the orchestrator model:

  • Quality control and trust: Orchestrating multiple agents means you’re not eyeballing every single change as it’s made. Bugs or design flaws might slip through if you solely rely on AI. Human oversight remains critical as the final failsafe. Indeed, current tools explicitly require the human to review the AI’s pull requests before merging. The relationship is often compared to managing a team of junior developers: They can get a lot done, but you wouldn’t ship their code without review. The orchestrator engineer must be vigilant about checking the AI’s work, writing good test cases, and having monitoring in place. AI agents can make mistakes or produce logically correct but undesirable solutions (for instance, implementing a feature in a convoluted way). Part of the orchestration skillset is knowing when to intervene versus when to trust the agent’s plan. As the CTO of Stack Overflow wrote, “Developers maintain expertise to evaluate AI outputs” and will need new “trust models” for this collaboration.
  • Coordination and conflict: When multiple agents work on a shared codebase, coordination issues arise—much like multiple developers can conflict if they touch the same files. We need strategies to prevent merge conflicts or duplicated work. Current solutions use workspace isolation (each agent works on its own Git branch or separate environment) and clear task separation. For example, one agent per task, and tasks designed to minimize overlap. Some orchestrator tools can even automatically merge changes or rebase agent branches, but usually it falls to the human to integrate. Ensuring agents don’t step on each others’ toes is an active area of development. It’s conceivable that in the future agents might negotiate with each other (via something like agent-to-agent communication protocols) to avoid conflicts, but today the orchestrator sets the boundaries.
  • Context, shared state, and handoffs: Coding workflows are rich in state: repository structure, dependencies, build systems, test suites, style guidelines, team practices, legacy code, branching strategies, etc. Multi-agent orchestration demands shared context, memory, and smooth transitions. But in enterprise settings, context sharing across agents is nontrivial. Without a unified “workflow orchestration layer,” each agent can become a silo, working well in its domain but failing to mesh. In a coding-engineering team this may translate into: One agent creates a feature branch; another one runs unit tests; another merges into master—if the first agent doesn’t tag metadata the second is expecting, you get breakdowns.
  • Prompting and specifications: Ironically, as the AI handles more coding, the human’s “coding” moves up a level to writing specifications and prompts. The quality of an agent’s output is highly dependent on how well you specify the task. Vague instructions lead to subpar results or agents going astray. Best practices that have emerged include writing mini design docs or acceptance criteria for the agents—essentially treating them like contractors who need a clear definition of done. This is why we’re seeing ideas like spec-driven development for AI: You feed the agent a detailed spec of what to build, so it can execute predictably. Engineers will need to hone their ability to describe problems and desired solutions unambiguously. Paradoxically, it’s a very old-school skill (writing good specs and tests) made newly important in the AI era. As agents improve, prompts might get simpler (“write me a mobile app for X and Y with these features”) and yet yield more complex results, but we’re not quite at the point of the AI intuiting everything unsaid. For now, orchestrators must be excellent communicators to their digital workforce.
  • Tooling and debugging: With a human developer, if something goes wrong, they can debug in real time. With autonomous agents, if something goes wrong (say the agent gets stuck on a problem or produces a failing PR), the orchestrator has to debug the situation: Was it a bad prompt? Did the agent misinterpret the spec? Do we roll back and try again or step in and fix it manually? New tools are being added to help here: For instance, checkpointing and rollback commands let you undo an agent’s changes if it went down a wrong path. Monitoring dashboards can show if an agent is taking too long or has errors. But effectively, orchestrators might at times have to drop down to conductor mode to fix an issue, then go back to orchestration. This interplay will improve as agents get more robust, but it highlights that orchestrating isn’t just “fire and forget”—it requires active monitoring. AI observability tools (tracking cost, performance, accuracy of agents) are likely to become part of the developer’s toolkit.
  • Ethics and responsibility: Another angle—if an AI agent writes most of the code, who is responsible for license compliance, security vulnerabilities, or bias in that code? Ultimately the human orchestrator (or their organization) carries responsibility. This means orchestrators should incorporate practices like security scanning of AI-generated code and verifying dependencies. Interestingly, some agents like Copilot and Jules include built-in safeguards: They won’t introduce known vulnerable versions of libraries, for instance, and can be directed to run security audits. But at the end of the day, “trust, but verify” is the mantra. The human remains accountable for what ships, so orchestrators will need to ensure AI contributions meet the team’s quality and ethical standards.

In summary, the rise of orchestrator-style development doesn’t remove the human from the loop—it changes the human’s position in the loop. We move from being the one turning the wrench to the one designing and supervising the machine that turns the wrench. It’s a higher-leverage position, but also one that demands broader awareness.

Developers who adapt to being effective conductors and orchestrators of AI will likely be even more valuable in this new landscape.

Conclusion: Is Every Engineer a Maestro?

Will every engineer become an orchestrator of multiple coding agents? It’s a provocative question, but trends suggest we’re headed that way for a large class of programming tasks. The day-to-day reality of a software engineer in the late 2020s could involve less heads-down coding and more high-level supervision of code that’s mostly written by AIs.

Today we’re already seeing early adopters treating AI agents as teammates—for example, some developers report delegating 10+ pull requests per day to AI, effectively treating the agent as an independent teammate rather than a smart autocomplete. Those developers free themselves to focus on system design, tricky algorithms, or simply coordinating even more work.

That said, the transition won’t happen overnight for everyone. Junior developers might start as “AI conductors,” getting comfortable working with a single agent before they take on orchestrating many. Seasoned engineers are more likely to early-adopt orchestrator workflows, since they have the experience to architect tasks and evaluate outcomes. In many ways, it mirrors career growth: Junior engineers implement (now with AI help); senior engineers design and integrate (soon with AI agent teams).

The tools we discussed—from GitHub’s coding agent to Google’s Jules to OpenAI’s Codex—are rapidly lowering the barrier to try this approach, so expect it to go mainstream quickly. The hyperbole aside, there’s truth that these capabilities can dramatically amplify what an individual developer can do.

So, will we all be orchestrators? Probably to some extent—yes. We’ll still write code, especially for novel or complex pieces that defy simple specification. But much of the boilerplate, routine patterns, and even a lot of sophisticated glue code could be offloaded to AI. The role of “software engineer” may evolve to emphasize product thinking, architecture, and validation, with the actual coding being a largely automated act. In this envisioned future, asking an engineer to crank out thousands of lines of mundane code by hand would feel as inefficient as asking a modern accountant to calculate ledgers with pencil and paper. Instead, the engineer would delegate that to their AI agents and focus on the creative and critical-thinking aspects around it.

BTW, yes, there’s plenty to be cautious about. We need to ensure these agents don’t introduce more problems than they solve. And the developer experience of orchestrating multiple agents is still maturing—it can be clunky at times. But the trajectory is clear. Just as continuous integration and automated testing became standard practice, continuous delegation to AI could become a normal part of the development process. The engineers who master both modes—knowing when to be a precise conductor and when to scale up as an orchestrator—will be in the best position to leverage this “agentic” world.

One thing is certain: The way we build software in the next 5–10 years will look quite different from the last 10. I want to stress that not all or most code will be agent-driven within a year or two, but that’s a direction we’re heading in. The keyboard isn’t going away, but alongside our keystrokes we’ll be issuing high-level instructions to swarms of intelligent helpers. In the end, the human element remains irreplaceable: It’s our judgment, creativity, and understanding of real-world needs that guides these AI agents toward meaningful outcomes.

The future of coding isn’t AI or human, it’s AI and human—with humans at the helm as conductors and orchestrators, directing a powerful ensemble to achieve our software ambitions.

I’m excited to share that I’ve written an AI-assisted engineering book with O’Reilly. If you’ve enjoyed my writing here you may be interested in checking it out.

NASA has a new problem to fix before the next Artemis II countdown test

NASA Administrator Jared Isaacman said Saturday the agency is looking at ways to prevent the fueling problems plaguing the Space Launch System rocket before the Artemis III mission.

Artemis III is slated to be the first crew mission to land on the Moon since the Apollo program more than 50 years ago. As for Artemis II, which remains on the launch pad at Kennedy Space Center in Florida after missing a launch window earlier this month, NASA is preparing for a second countdown rehearsal as soon as next week to confirm whether technicians have resolved a hydrogen fuel leak that cut short a practice countdown run February 2.

Artemis II is the first crew flight for SLS rocket and Orion spacecraft. The nearly 10-day mission will carry four astronauts around the far side of the Moon and return them to Earth.

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The Week Observed: February 13, 2026

What City Observatory Did This Week

Professional sports franchises have minimal impact on regional economic growth, despite claims from boosters. When Vancouver lost the Grizzlies in 2001 and Seattle lost the Supersonics in 2009, both cities’ per capita incomes actually grew faster than their national averages in subsequent years. Meanwhile, Oklahoma City, which gained Seattle’s team, saw no particular economic advantage—Seattle’s income growth eventually far outpaced OKC’s despite losing the franchise.

 

This real-world evidence aligns with academic research: a comprehensive survey of 130 studies confirms professional sports teams don’t justify large public subsidies. Regional prosperity depends on factors like quality of life, education, and industry diversification—not basketball teams. Contrary to the prognostications of self-interested sports reporters, Portland’s threatened loss of the Trail Blazers won’t derail its economy by “a generation.”

Must Read

Missing the thread on Oregon’s transportation financial crisis.  The usually reliable Oregon Public Broadcasting has a report on the state’s transportation funding crisis, which unfortunately suffers from some serious myopia, and misses the elephant in the room.  OPB reports that legislators are focused on filling a $242 million budget hole at the Oregon Department of Transportation prompted by the referral of a proposed six cent a gallon gas tax increase (and accompanying fee increases).  OPB calls the financial problem a “budget pothole” and implies that there’s a simple, one-time fix.   The short term math is right, but ODOT’s real budget problem isn’t just through the end of the current biennium (ending June 30, 2027).  Instead, its growing and open-ended multi-billion dollar commitments to a handful of largely unfunded highway mega-projects, notably the $17.7 billion Interstate Bridge Project and the $2.1 billion Rose Quarter project.  Together these mega-projects threaten the long-term solvency of the agency, and promise recurrence of the current shortfalls as soon as the Legislature returns in 2027, something you’d never know from reading OPB’s reporting.  The Legislature seems likely to scrounge funding to fill the short term hole, but continues to kick the can down the road with the real financial problem:  out-of-control megaprojects.  Oregon Public Broadcasting could do its listeners (and readers) a good deal better service by stepping back and addressing the multi-billion dollar, multi-year chasm, rather than pretending this is a short-term, one-off pothole.

Rents are still dropping.  Nationally and in most markets, rents are declining.  Data gathered by Apartment List  shows that, after a surge in rents in the wake of the recovery from the pandemic, rents have been declining.

The overall story appears to be that as the economy rebounded after the Covid-19 pandemic, housing demand surged, and pushed up rents.  Over the next few years, apartment construction responded, and added to supply, which has helped drive down rents.  Apartment List has detailed data for states, metropolitan areas and large cities across the United States so you can check out trends close to home.

New Knowledge

Learning from smart vehicles and near misses.  In our efforts to make travel safer, we compile mounds of data that chronicle the aftermath of crashes:  Where they happen, what time of day, road conditions and the like.  In theory, this informs our understanding of the causes of crashes and helps us design safer roadways.  But in many ways reported crash data are a coarse and incomplete measure of the safety of the road system.  As we all know, many times the difference between a crash and a near-miss is a few tenths, or hundredths of a second, a few inches, or just some luck.

A new source of data is beginning to become available from cars that have computer monitoring and telemetry to record evidence of these “near misses.”  The classic instance of a near miss indicator is what analysts call a “hard braking event” or HBE.  Sensors in a car can measure the rapid and powerful activation of brakes and sudden deceleration to identify an instance in which a crash was at high risk of happening (whether it was avoided or not).  By compiling this data, we can get a much larger and richer source of information about potential crash risks.

That’s exactly what researchers at Google and Stanford have done:  compiled millions of anonymized vehicle records to identify the location, time and other characteristics of hard-braking events.  Their statistical analysis confirms that there’s a strong correlation between these HBE’s a crash reports.  This gives us confidence that we can use HBE data to assess risk.  As the author’s report:

As empirically demonstrated in this study, Hard Braking Events exhibit a statistically significant correlation with actual crash risk at the road segment level. The high spatio-temporal density of HBE data facilitates the timely identification of high-risk road segments, thereby circumventing the reliance on inherently lagging and sparse collision records.

 

Yechen Lia , Shantanu Shahanea , Shoshana Vassermanb , Carolina Osorioc , Yi-fan Chena , Ivan Kuznetsova , Kristin Whitea , Justyna Swiatkowskaa , Neha Aroraa , Feng Guod, From Lagging to Leading: Validating Hard Braking Events as High-Density Indicators of Segment Crash Risk, https://arxiv.org/pdf/2601.06327

The economics of corporate espionage

Weprovide systematic evidence on the economic damages from espionage to US firms and industries. Compiling a comprehensive dataset of publicly disclosed espionage incidents from 1995-2024, we establish that espionage has substantial negative effects on targeted f irms. In an event-study design, revenues and R&D expenditures at targeted firms decline by roughly 40% within five years, with effects persisting for up to a decade. These effects do not appear for firms unsuccessfully targeted for espionage, supporting a causal interpretation. These firm-level damages translate into measurable aggregate effects on US industry: exports in targeted sectors decline by 60% over a decade. Given these substantial damages, we investigate whether firms restrict knowledge sharing in response to espionage. Across a wide range of outcomes, we find no evidence of such restrictions. Firms do not reduce their patenting with foreign inventors, and do not discriminate in employment based on perceived espionage risk. Overall, espionage has clear economic harms to targeted firms and US industry, but firms are puzzlingly unresponsive in how they manage innovation.

That is from a new paper by Andrew Kao and Karthik Tadepalli.  Via Kris Gulati.

The post The economics of corporate espionage appeared first on Marginal REVOLUTION.

       

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Launching Interop 2026

Launching Interop 2026

Jake Archibald reports on Interop 2026, the initiative between Apple, Google, Igalia, Microsoft, and Mozilla to collaborate on ensuring a targeted set of web platform features reach cross-browser parity over the course of the year.

I hadn't realized how influential and successful the Interop series has been. It started back in 2021 as Compat 2021 before being rebranded to Interop in 2022.

The dashboards for each year can be seen here, and they demonstrate how wildly effective the program has been: 2021, 2022, 2023, 2024, 2025, 2026.

Here's the progress chart for 2025, which shows every browser vendor racing towards a 95%+ score by the end of the year:

Line chart showing Interop 2025 browser compatibility scores over the year (Jan–Dec) for Chrome, Edge, Firefox, Safari, and Interop. Y-axis ranges from 0% to 100%. Chrome (yellow) and Edge (green) lead, starting around 80% and reaching near 100% by Dec. Firefox (orange) starts around 48% and climbs to ~98%. Safari (blue) starts around 45% and reaches ~96%. The Interop line (dark green/black) starts lowest around 29% and rises to ~95% by Dec. All browsers converge near 95–100% by year's end.

The feature I'm most excited about in 2026 is Cross-document View Transitions, building on the successful 2025 target of Same-Document View Transitions. This will provide fancy SPA-style transitions between pages on websites with no JavaScript at all.

As a keen WebAssembly tinkerer I'm also intrigued by this one:

JavaScript Promise Integration for Wasm allows WebAssembly to asynchronously 'suspend', waiting on the result of an external promise. This simplifies the compilation of languages like C/C++ which expect APIs to run synchronously.

Tags: browsers, css, javascript, web-standards, webassembly, jake-archibald

Quoting Boris Cherny

Someone has to prompt the Claudes, talk to customers, coordinate with other teams, decide what to build next. Engineering is changing and great engineers are more important than ever.

Boris Cherny, Claude Code creator, on why Anthropic are still hiring developers

Tags: careers, anthropic, ai, claude-code, llms, coding-agents, ai-assisted-programming, generative-ai

Talking Again with Jon Gruber

I’ve spoken before with Jonathan Gruber, one of America’s leading health economists; I decided to talk again after reading a remarkable new paper he co-wrote about the effects of immigration on healthcare for native-born seniors — bottom line: the attack on immigrants will send thousands of us to an early grave.

Transcript follows

. . .

TRANSCRIPT:
Paul Krugman in Conversation with Jonathan Gruber

(recorded 2/11/26)

Paul Krugman: Hi everyone. This week I’m talking for a second time with Jon Gruber, one of the world’s best healthcare economists. I wanted to talk with him about some of his new work which I think is really important. It’s at the intersection between healthcare and immigration policy. So first off, healthcare. We’ve actually had a major change in health policy, sort of by default, which is the end of enhanced subsidies for the Affordable Care Act. Are you tracking how that’s going and where we are so far?

Jonathan Gruber: Yeah, Paul, let’s cover for a minute what happened. So a key pillar of the Affordable Care Act were tax subsidies to make health insurance affordable on the exchanges. And the way we set it up was that you pay a sliding scale percent of your income. So if you’re very poor, you’re on Medicaid, unless you’re one of those ridiculous states that didn’t expand Medicaid. Then you paid about $20 if you’re near poor, ramping up to at a maximum of about 10% of your income. And that maximum was set at four times the poverty line, which is a little bit more than median income in the US.

Under COVID, President Biden put an expanded version of those subsidies and he made three critical changes. One is the 20 became zero. And it turns out that matters a lot. It turns out zero matters a lot for some people. There’s a surprising amount of evidence that even if someone takes things like life-saving drugs, a $5 copayment really deters people from taking them.

So the zero helped a lot. He lowered the slope so people paying 8% of income were then paying 6. But he also got rid of that cliff at the top. And you might think, for people above the median income, I’m not that sympathetic. But if you’re an older person in a high cost state, health insurance can be very, very expensive. So those were first put in place for two years and extended for three more years. They expired within this past year because they were not extended.

What does that mean? That means that a bunch of very low income people are now going to stop paying zero and pay something. People in the middle will pay some more. And then people at the top of the scale—sort of above middle income but not rich—those people are to suddenly face unaffordable health insurance costs. So it’s very personal to me. I have friends who are 60-year-olds in Massachusetts like me. I have a friend who’s going from paying $8,000 a year to $25,000 a year for health insurance. I don’t know what his income is, but even if your income was $100,000, that’s 25% of your income. That’s a lot of money. That’s unaffordable.

The projections from my research, my independent research, and actually the Congressional Budget Office agreed, were that over time about four million people would lose health insurance from this. I think it’s always good to explain to people what that means. The best estimates suggest, based on the Affordable Care Act, that for every 800 people who lose health insurance, one person dies every year. So 4 million people losing health insurance is 5,000 more deaths a year.

So far, looks like enrollment’s down about a million and a half. So far it’s smaller than expected, but the expectation was a 4 million person drop would arise over time. I think it takes people time to adjust. Part of it is some states have reacted by filling the gap. So Massachusetts has announced that it will continue subsidies at that level paid for solely by the state, $250 million. Several other states have as well. And that may be part of why enrollment has dropped less than we might have expected so far.

Krugman: Yeah, and the fact that states can even get anywhere close to doing that is telling us that there really isn’t that much money involved. That making a health care program that kind of made the United States almost a civilized country for universal health insurance really didn’t cost very much beyond what we were already spending.

Gruber: You know, here’s a way to think about it, Paul. The cost of extending these subsidies for a decade is one-tenth of the increase in the deficit from the Trump tax cuts. $300 million for subsidies, $3.3 trillion for the Trump tax cuts. So what we’re saying is we’ll spend ten times as much to make tax cuts for the rich as we are to make insurance affordable for the middle class.

Krugman: Wow, yeah. I don’t have the ICE budget in my head right away, but it’s clearly gotta be bigger.

Gruber: I believe the ICE budget is up to 80 billion a year. So right there, that was about a 70 billion a year increase. That’s twice what you’d need every year to have these subsidies put in place.

Krugman: I mean, you talk about loss of health insurance and dying, but it’s also true that for a lot of people the financial hardship is just huge. You’re taking people who are sort of better off than the median income, though not rich by any stretch of the imagination, and they’re suddenly faced with intolerable health care bills.

Gruber: You know, there’s a large literature now showing the financial benefits of health insurance, showing that people who are insured go into bankruptcy less, they have less delinquent debt. Here’s the finding that I think is most striking about this, Paul. There was a famous study called the Oregon Health Insurance Experiment run by Amy Finkelstein and Kate Baker. I was affiliated with it, but they really ran it. That study was essentially a random allocation of health insurance through a lottery in Oregon. And there were lots of findings. What was most striking to me immediately was that depression in the [insured] population fell by 30%. That’s not Prozac. That is the loss of stress, of not worrying every day about being bankrupted by your medical bills. And this is the kind of well-being that health insurance gives people. This is why other countries have universal coverage, because it’s an unnecessary stress in people’s lives.

Krugman: Yeah, I have to say just a very, very tiny echo of all that was when I retired from the Times. I had to switch plans from UnitedHealthcare, which I had through the Times to another plan through the City University of New York. And obviously Medicare is involved, too. But somehow or other things got screwed up and they put me on the wrong plan just as I was starting to have some health problems. And the amount of sheer anxiety created by a brief visit to the emergency room, not knowing right at the moment if it will be paid for.

Gruber: First of all, you don’t know what the price is gonna be. So we can talk about problems in the healthcare system, a lack of transparency. You have no idea what you’re in for. My daughter drives an ambulance. There are people who she wants to pick up who say, “Please don’t put me in the ambulance, I can’t afford it. I don’t have health insurance.” These are people making life altering choices for reasons and they’re worried about not having insurance.

You know, I gave a Ted talk on this and the story I started with is the story of two women, both who were diagnosed with breast cancer at age 36, both with small children. One did not have insurance, but she delayed treatment and eventually died. The other is my wife, who because she had good insurance was well treated and is perfectly healthy today. And you know, those stories are replicated all over this country.

Krugman: Okay, just to add one more thing, I assume that you follow Charles Gaba, the amazing sort of autodidact, self-taught health care expert who’s become invaluable since the early days of Obamacare. But he’s been saying that just looking at the number of people with insurance is not enough. We need to look at people downgrading, getting worse policies.

Gruber: You know, this is a harder one, Paul, because defining underinsurance is very difficult. So let me give you two examples. There’s two senses in which people downgrade. One is they move to plans with higher deductibles and higher out-of-pocket cost sharing. Now that depends really on your income. The truth is, people like you and I should have high cost sharing. That’s the honest truth. We can afford it.

The story I like to tell about this is, you know, I hurt my knee playing tennis. It was still hurting a couple weeks later. It was the weekend. My wife said I should go to the emergency room and get it looked at. I went to the emergency room and got an MRI. It cost me 50 bucks. They looked at it. They said, stop being a whiny bitch. Go home. You’re fine. That cost my insurer $1,000. If it had cost me $1,000, I would have waited another week. So cost sharing is mixed. For low income people, it can be a barrier to getting needed care. For high income people, it’s not. So that’s one sense of what you’re upgrading, narrowing.

The other sense of underinsurance is this big issue about narrow networks, about people not having the choice of provider. And on this one, I think actually the evidence, Paul, is pretty clear that narrow networks are not problematic, that people have seen their choice limited, but it hasn’t really negatively affected their health. There are some horror stories, don’t get me wrong, but on average, I think of narrow networks like the way we thought about airline deregulation. You know, no one wants to pay hugely high prices for a very broad network, just like no one wants to pay very high prices to have nice silverware again on airplanes.

And so, I agree we should worry some about it but I think the focus once again should be on an income basis, which is lower income people facing high cost sharing and protecting them from that.

Krugman: I always think of driving down Route 1 in New Jersey, where there are lots of billboards advertising, “Our emergency room is best.” It’s a horrible thing if people are choosing emergency rooms based on who has the best billboard.

So, okay. You have this really interesting and actually quite upsetting paper about immigration and healthcare. It’s really kind of startling.

Gruber: Yeah, so basically, the hypothesis we’re testing is: does changing the number of immigrants change the health outcomes of our nation’s seniors? We focus on the nation’s seniors partly because that’s where the action is in terms of mortality. That’s where the data is. We have excellent data for the Medicare program. And also because they’re not the immigrants. You can’t be on the Medicare program if you’re an immigrant unless you’ve been in this country for a while and worked and things.

So it’s really a separate population. We’re looking at the effects of a flow of immigrants into the care of our nation’s seniors on Medicare. And it turns out that a lot of the care for our nation’s elders is very labor intensive, in particular the care they get for their long-term care needs, both at home and in nursing homes. And it turns out a lot of those workers in those sectors are immigrants. Immigrants are disproportionately represented in the healthcare sector in general and the caring part of the healthcare sector in particular.

However, it’s not obvious that more immigration would improve care. First of all, you have to argue that more people improves care. There’s some evidence on that, but you have to argue that. The second is, look, a lot of care might be about communication. If immigrants cannot communicate well with the elders, if elders are racist, if they’re not able to work with the immigrants, maybe it wouldn’t improve their care. So we want to ask the question, does having more immigration actually improve the care and health outcomes of seniors?

The results are basically that when there’s more immigration, there’s a large rise in the number of caregivers, particularly the number of aids and other people in that part of the healthcare spectrum. Second, it does not lead to reductions in the number of native caregivers. They’re not taking the jobs of native caregivers. Actually, we find there’s a slight increase in the number of native doctors when there’s more immigration. We think because there’s more the doctors can do because they have more people who can work with them. But there’s no evidence they’re reducing the size of the native pool working in that sector. And then we find a significant and quite striking reduction in the odds that elderly people will die when there’s more immigration to their community.

Interpreting these numbers are hard, but let me sort of give you a number. I think it’s a good way to hang on to it. What our results imply is that if there’s a 25% rise in legal immigration in the US—325,000 people—that would lead to 5,000 fewer elder deaths per year. Let’s put it another way. Haitians are disproportionately represented in the healthcare sector. Our estimates imply that if you deport 330,000 Haitians, which is what the revocation of TPS would do, you will cause 9,000 more elder deaths per year. So this is really striking evidence that immigrants are just a vital part of our network that’s caring for our nation’s elders.

Krugman: There’s a couple of points in there. One is, I have to admit I’m a little annoyed at myself. There’s a kind of general proposition that immigrant workers in the United States mostly do not compete head to head with native-born workers because they tend to be in quite different occupations. And I always talk about farm labor and construction and food processing. But healthcare, somehow I never mentioned that. Yet, the share of home health aides that are foreign born is immense.

Gruber: Yeah, they’re really a very important part of our ecosystem of caring throughout the healthcare system, all the way up to doctors. Many of our best doctors are immigrants, but we’re focused more on the unskilled immigration. And it is a huge share. My wife is a nursing home ombudsman. She sort of is a volunteer checking quality at local nursing homes.

The bottom rung is called Certified Nurse assistants, CNAs. They’re virtually all immigrants. These are hard jobs. These are jobs where you’re changing the bedpans of elderly patients, turning them in their bed to make sure they don’t get bed sores, things like that. These are jobs which in Massachusetts pay slightly more than working at Starbucks. And they’re jobs that natives, by and large, don’t want.

Look, one in three home care workers are immigrants. 18% of all healthcare workers are immigrants. They are a huge and vital part of our system. And let’s remember one important fact. I’m sure you’ve talked about this, Paul, in the context of our fiscal situation, about our aging population, creating a dire fiscal situation. Our aging populations create a massive new demand for long-term care. We have a population that’s rapidly aging. We are about 10 to 15 years away from peak long-term care demand in our country as the boomers reach their late 70s, early 80s. We already are vastly understaffed in our long-term care sector. We have a billion people who would be delighted to come to America and work at the wage they’re willing to offer to help take care of our seniors and they’re wonderful, caring people. And yet we’re moving the opposite direction, kicking them out.

Krugman: Yes. This is one of those things, by the way, where the normal distinction between over 65 and under 65 doesn’t fully capture what’s going on. You know, I’m about to turn 73, but there’s a world of difference between 66-year-olds and 80-year-olds. So although the baby boomers are basically all over 65 now, the kind of age-adjusted population of seniors is still going to be cresting much, much higher.

Gruber: Yeah, Paul. I still remember when you were a young 33-year-old pup in 1985 teaching me international trade. Time does fly. And look, it is true. First of all, it’s not just over 65. A lot of the caring is actually for the disabled who are under 65. So it’s not just over 65. We focus on elder care in this paper. But there’s a lot of disabled people who need this care. They’re a very important, significant part of our population. But it’s not just the oldest. The oldest is old.

I actually have a book I wrote with Kathleen McGarry at UCLA, which is comparing long-term care systems around the world. We have descriptions of the long-term care system in 10 different countries. And for each country, we show there’s not just a rapid growth in the over 65 share. Within the over 65, there’s a rapid growth in the over 85 share. And this is the peak care. One in three people will use the nursing home at some point.

More than half the people will need formal long-term care of some kind at some point. This is going to be a huge demand and quite frankly a huge opportunity for our economy to provide in an economy where AI is taking a lot of low-skilled jobs. These are low-skilled jobs AI can’t do. These are low-skilled caring. Maybe someday we can have robots do this, but that’s a long way away. So this is job where a lot of low-skilled workers that might be displaced from other sectors can provide care to the elders who need it.

Krugman: Yeah. It’s interesting. The strategy you use for estimating does rely a lot on the fact that immigrants don’t go to all places equally. So the most acute health care shortage, or lack of health care workers, is probably occurring in places where immigrants don’t go. I was wondering about that a little bit.

Gruber: It’s a great point. Immigration alone is not going to be enough to address the coming crisis of a dramatic increase in long term care needs. We’re also going to have to deal with the low wages we pay. And I have a plan for that I’m happy to discuss with you. We’ve actually put together a pilot program here in Massachusetts to try to deal with that. But it’s hard to imagine given our fiscal situation that we’re going to be able to afford the increase in pay

that will call forth the supply without immigrants as well. So immigrants need to be part of the strategy. If we simply try to raise pay enough to have this done domestically, the pay increase would bankrupt the government. So I think we need a joint strategy. And I would argue there’s three pieces. One piece is immigration, which we’re discussing. Another piece is higher pay. The third piece, and this is what we’re doing in Massachusetts, and it’s really critical, is to recognize the important role of career ladders in this sector.

So in the nursing home, you can be a CNA, that’s the lowest level. The next level up is called the Licensed Practical Nurse, an LPN. They largely exist just in nursing homes. This is below an RN, the nurse you typically deal with, above a CNA. They’re growing in other sectors, but they’re largely focused in nursing homes. A CNA makes 22 bucks an hour. An LPN makes 40 bucks an hour. Okay? So that’s a pretty good living. You only need one year of school if you’re a CNA to become an LPN.

So, we did a survey in Massachusetts of all the CNAs and said, why aren’t you becoming LPNs? And they all said, “we can’t afford the school, we can’t afford the time off.” So we got a $6 million grant from the state to set up a pilot program here in Massachusetts called the Career Ladders Program. You can look it up where we are paying for CNAs to get half a year, 50% time off paid and free tuition to become LPNs. And the money doesn’t come from the government, it’s repaid by their employers because their employers are so desperate for these LPNs. They were willing to make this a revolving fund where they repaid the money in. We need to get creative in thinking about how we can make this a more attractive sector.

Krugman: Okay, so you’re actually out there in the field trying to do stuff, which is really impressive.

Gruber: We have to be.

Krugman: But I have to say, in a way this ties in with the question about upfront costs and co-pays and failure to seek treatment. I think it’s difficult for people like us to whom life has been kind to appreciate how close to the edge lots of people are. That even though, you know, we would look and say the payoff of your income over the next 15 years from taking a year off and going to school would easily self-justify, people can’t do that.

Gruber: They can’t. I mean, they are working three jobs. They have kids to take care of. There’s a great book by Mulleinathan and Shafer about the mental stress that low-income people are under and the fact that it doesn’t get in their bandwidth to make investments. They call it the poverty trap. Basically, when you’re poor, you’re so busy trying to survive, you can’t make the investments that let you move out of poverty.

And this is just not appreciated by those of us who aren’t in poverty, who have had a lot of beneficial aspects of their life, that poor people really need a hand up to just make the investments that will allow them. It’s not that they’re lazy. They just don’t have the time to make those investments. So I’m hoping we can set up programs like this, which will promote that kind of human capital development. And then even if the CNA job is not that highly paid, it’s something new for a couple of years on your way up to a more highly paid position.

Krugman: Okay, so it’s not just more immigration, although God knows that’s where we’re gonna get the people to fill these frontline jobs, but it’s also then improving conditions. And of course, when we talk about immigrants and senior citizens, we talk about the fiscal side and the fact that the federal government is in large part a vehicle for taxing working-age people and supporting older people. Immigrants help with that because they generally come during their working age, but it’s also the supply side. So it’s both. And of course, what we’re doing is moving in the opposite direction.

Gruber: Exactly. At a time when those needs are growing, we are moving in the opposite direction. And we need to figure out a politically acceptable way. I understand immigration is a fraught issue, and clearly we might have gone too far in the Biden years. And so the question is how we get back to a more rational immigration policy that recognizes that we need these bodies. Tara Watson at the Brookings Institution has proposed specific increases in quotas for health care workers. We can think about ways to really use our immigration system more productively.

Krugman: Yeah, it’s interesting. The number that you use in the paper is a 325,000 increase in immigration. But that also turns out to be roughly in the same ballpark as the number of people ICE has arrested in the past year. And of course, Stephen Miller keeps on wanting 3,000 deportations a day, so, more than a million. And by the estimates you had, that would mean something like 15,000 extra deaths per year.

Gruber: You know, these are folks who are contributing. If you look at the data, a very small fraction try to be criminals. The majority of these people are contributing to our society and critically in ways that our natives don’t want to contribute. Not because they’re bad people, just because the wages are bad and they have other things they’d rather do. And healthcare has become a very partisan issue.

Krugman: Yeah.

Gruber: But I feel like long-term care doesn’t have to be. Republicans have moms too. And I feel like we can really think about trying to make this an issue that we can come together on, and think about how we can treat our nation’s seniors with some dignity. I wrote an editorial with Richard Frank of the Brookings Institution pointing out that during COVID, you know, we shut down our economy and spent $3 trillion largely to save the lives of our senior citizens. Yet now that COVID’s over, we go back to putting them in shitty nursing homes and not given the dignity that they deserve. Why can’t we continue to care for our nation’s elderly in the way that they deserve?

Krugman: Yeah, I mean, care can be very expensive, but we’re already spending a lot and...

Gruber: We’re already spending a lot. So the other thing we did, working with Richard Frank of the Brookings Institution, we developed a program for universal home care for the elderly. We’ve designed a program where everyone on Medicare would get government funded care in their home, because people don’t want to go to nursing homes. Let’s be blunt. And we think actually the main mechanism through which our effect is operating in this paper is by keeping people at home and out of institutions, hospitals and nursing homes.

And we have a proposal for a universal home care program that would be funded by the government, but with individual co-payments. So richer people would pay in, poor people would get it for free. And we estimate that you could provide a universal home care program that’s very reasonable for about $40 billion a year, which is really, once again, chump change compared to the maxes we’re talking about.

Krugman: I didn’t realize it was that cheap. And if you’ve had elderly loved ones, it’s so emotionally wrenching to deal with all of that. And the idea that we could sort of make it a fundamental part of our society that we treat older people decently for so little money. I’m actually shocked by that.

Gruber: You know, it’s not just that. Don’t forget, what does it do? It frees up children—largely women, largely daughters—to reenter the labor force and deploy their skills where they’re most valuable. It creates jobs for immigrants and natives, and hopefully ladders to good paying jobs. And it really just reduces the intergenerational stresses that are caused by caring. We have this very strange, unlevel playing field in long-term care in our country, Paul, where when your parents are in a nursing home or assisted living if you’re wealthy, everything’s kind of taken care of. Their food, their medical care, everything. When they’re home, you’ve got to arrange it all. You’ve got to arrange their food, you’ve got to arrange their medical care, you’ve got to arrange their caregivers. And that’s very taxing, it’s very expensive, it’s just tough on relationships. And there’s no reason why we can’t afford this in our society.

Krugman: 95% of Americans can’t afford that now. I’d say that basically textbook royalties were what made my mother-in-law’s final years decent.

But, can you talk about research methodology on this?

Gruber: Well, a shout out to another Nobel Prize winning economist, David Card. David Card is one of the early pioneers in research on immigration. He was more interested in the effects of immigrants on the labor market. And he said, “Let’s say I want to know the effect of immigration to an area on native workers. Well, the problem is why do immigrants come to an area? Maybe they come to an area because opportunity is going up.” So, you might find that more immigrants cause native workers to do better. That’s not because the immigrants came. It’s because immigrants came to places that were going to do better anyway. This is a common confusion of causation and correlation that drives empirical work in economics. So what David Card came up with was a very clever, what we call an instrument in economics, or a very clever natural experiment. He noted, as you said, that immigrants tend to cluster. So when Haitians come to America, they tend to go to certain spots. When Mexicans come, they tend to go to certain spots. My daughter-in-law is Brazilian. Brazilians from Minas Gerais in Brazil tend to come to Framingham, Massachusetts. And he said at the same time, there are large national waves of immigration that are caused for reasons that are independent of the US. There’s an earthquake. There’s a humanitarian crisis. So let’s take Haiti. There’s a dictator in Haiti. Hundreds of thousands of people leave Haiti. They come to America. That’s an experiment. And they go to places that are predictable.

So what he said is, when there are waves of certain immigrant types, you look at the places where they tend to go. And then that’s sort of an experiment. So when there’s a dictator deposed in Haiti, and hundreds of thousands of people leave Haiti, that’s essentially a parachute drop of Haitians into Springfield Mass, and a couple other places where they’re concentrated. And then that is a real experiment. That’s essentially what we do. We use his method, we adjust a little and say, well, we’re really gonna focus on groups that particularly work in healthcare, like Haitians. We adjusted for that and we actually asked when there’s these parachute drops of people into places, what happens to the mortality rate of the elderly people?

And one thing that’s changed since you and I started research so long ago, Paul, is we now have all these extra tests that we do in empirical work. And one very common test is to say, well, if this is really an experiment, then nothing should be going on beforehand. If it’s something where, gee, immigrants are moving where elderly people are dying less for some other reason, then you should see elderly people dying less over time in those areas. But that’s not true. You see elderly mortality is pretty flat, the immigrants arrive, and then elderly mortality drops. So it really is a pretty compelling application of what David Carr came up with to show that this sort of parachute drop of immigrants is really improving lives.

We then turn to try and understand the mechanisms, which, quite frankly, we don’t understand as well as we’d like. It looks like there’s both less use of medical institutions and better treatment in nursing homes from having more immigrants around. So it looks like it’s really about this long-term care nexus, which is where it’s focused. But we can’t prove that. We can prove that mortality’s dropped, but we’re weak on the mechanisms. And I think that’s why there needs to be more work in this area.

Krugman: This is a complete side issue, but yeah, there’s been this empirical revolution in economics where people really look at the data. David Card’s most famous venture into all that is probably his work on the minimum wage with Alan Kruger. Instead of [merely talking about] supply and demand and abstracting what ought to happen, they actually looked at what actually happened when New Jersey raised the minimum wage and Pennsylvania did not. And it was a shocking thing because the job losses that everyone was saying should happen didn’t. And that’s the start of a now huge body of literature that has forced us to change the way we thought about labor markets. I have to say, in a lot of ways, lots of things have gotten worse since I was younger, but I think that a lot of economic research has gotten better.

Gruber: Yeah, we can have a long, old-bane conversation about this, but I sit in these conferences now and hear young people present papers, and I’m almost sort of embarrassed by what I called research 35 years ago. I mean, you know, a typical paper now has a 125-page appendix with everything you could check and all this. It’s really incredible. Research has gotten quite amazing.

Krugman: Yeah, another trade person said to me, “You know, none of the papers that got you a Nobel Prize would be publishable now. Where’s the empirical work?” That’s true. But yeah, no, it’s great.

Gruber: Hahaha!

Krugman: So, where do think we’re going? I’ve been trying to think a little bit past this moment of the crisis on the affordable care subsidies and future for health care reform. I mean, you were certainly part of the intellectual nexus that got us the Affordable Care Act, which even in its somewhat damaged form makes a huge difference. But what next? Do you think we can actually move forward and get the system better, besides just restoring the subsidies?

Gruber: Yeah, I think obviously restoring the subsidies is a big deal. But in terms of insurance coverage, I think it’s going to be modest changes. I mean, essentially, even if we restore the subsidies, we’ll have 30 million uninsured Americans. Who are they? 10 million are undocumented immigrants. There’s zero political consensus for writing them insurance. About 10 million are people who simply think they’re too healthy to pay for insurance, and without a mandate we’re not going to get them.

Krugman: Right. The original conception for Obamacare was that you would be required to have insurance and pay a penalty if you didn’t, which made absolutely good sense and everybody hated it. But anyway, yeah.

Gruber: Well, once again, that was an idea out of the Heritage Foundation adopted by a Republican governor in Massachusetts. Let us not forget. But the remaining 10 million are people who can actually get insurance and just maybe don’t know it. It’s very cheap. They haven’t signed up for it. So I’m doing some research on international healthcare systems. The big thing that other countries do is they make health insurance seamless in a way we don’t. It’s not necessarily about having a single payer. Germany has many insurance payers. Switzerland has many insurance payers. But it’s still universal coverage because they make it easy and seamless in a way we don’t.

So really, increasing coverage is going to involve a significant move in that direction, which I don’t see happening. I think the focus is going to shift to the supply side. And what do we do about the supply of health care workers? And what do we do fundamentally about health care prices, which are just out of whack? We pay much more for health care services than anywhere else in the world. We know why. Kenneth Arrow taught us why in 1963, when he wrote the first article on health economics and said there’s no market with more market failures than health care.

And when I teach basic economics at MIT, I start by saying the market is great, but I say the market isn’t so great when the market fails. And the market fails nowhere worse than in health care. And every other country in the world has recognized that, and they regulate the prices paid in health care. We haven’t. So I think that’s going to be the next big debate: why is health care becoming unaffordable? It’s being shifted to people and what they can pay.

And so we need to both increase the supply of people in the sector and regulate the prices that are paid in the sector. I think that’s the next big battle. And then, the last thing I would say in sort of my poor prognostication, I really do think the focus is going to turn to this long-term care issue. I really do think this is going to become an issue we’re going to discuss more and more as more and more people are entering this age range. As people see their parents or themselves entering this age range, they’re gonna realize we have a crisis on our hands of an inability to properly care for our nation’s elderly. And, honestly, this is something that smart politicians can jump on and get ahead of, and think of this as a winning issue.

Krugman: Yeah, it has to be. It’s just so visible in your face and it’s so obvious, the system is cruel and dysfunctional and I think the only thing that allows it to persist is that most Americans don’t know that it doesn’t have to be this way.

Gruber: That’s very well put and I think partly the question is how we educate people on that and how we get them to understand that this is a solvable crisis, and an affordably solvable crisis.

Krugman: It’s funny, we do pay medical expenses for seniors. Medicare, by international standards, is a very lavishly funded program. And the reason that we’ve been able to get this big expansion at relatively low cost under the Affordable Care Act is that younger people are kind of cheap. But although we treat elderly generously with hospital expenses, ironically, we don’t take care of them if they aren’t in the emergency room. And that’s a really shocking thing.

Gruber: You know, it’s really interesting, Paul. When we wrote up this Oregon health insurance experiment and newspapers covered it, one of the major findings was, in the short run, health insurance didn’t improve health. That’s been proven to be overtaken by events. But we did find this enormous reduction in depression. And the articles would be like, you know, “Program Doesn’t Affect Health.” The last sentence would say, “Oh, but mental health improved.” It comes to this view of health as acute physical health care where, in fact, I think increasingly we’re realizing a more holistic concept about mental health and social determinants of health. Basically, the truth is we need to be thinking about what makes people well, not what makes people physically healthy.

Krugman: You almost sound a little bit like RFK Jr. except that your opinion is actually based on reality.

Gruber: Look, the one positive thing that he’s doing is starting interesting conversations, thinking about the larger picture of wellness. I mean, the prescriptions are all wrong, but the conversations are right. And I think here is the challenge we face, Paul: measuring outcomes is harder. When you go to the hospital after a car accident, we can measure part of the quality of care by whether you died or not. Or maybe whether you end up back in the hospital.

Krugman: Right.

Gruber: If someone is treated poorly as a senior in a nursing home, they’re gonna die anyway. The question is whether their life will be miserable along the way. Partly that’s on economists and policy experts to come up with better ways to help the public understand the consequences and the measures of what it’s costing. You know, in economics we talk about quality adjusted life years.

Krugman: Yeah.

Gruber: We talk about not just how long you live, but the quality of those years. We’re very bad at measuring the quality part.

Krugman: Yeah. Just to say, all of this seems a lot more urgent to me at this point in my life than it did 40 years ago. Let’s hope that your research and proposals will help move the needle, and if we get past the current nightmare, maybe we can actually make some progress on really making things better.

Gruber: I hope so.

How Generative and Agentic AI Shift Concern from Technical Debt to Cognitive Debt

How Generative and Agentic AI Shift Concern from Technical Debt to Cognitive Debt

This piece by Margaret-Anne Storey is the best explanation of the term cognitive debt I've seen so far.

Cognitive debt, a term gaining traction recently, instead communicates the notion that the debt compounded from going fast lives in the brains of the developers and affects their lived experiences and abilities to “go fast” or to make changes. Even if AI agents produce code that could be easy to understand, the humans involved may have simply lost the plot and may not understand what the program is supposed to do, how their intentions were implemented, or how to possibly change it.

Margaret-Anne expands on this further with an anecdote about a student team she coached:

But by weeks 7 or 8, one team hit a wall. They could no longer make even simple changes without breaking something unexpected. When I met with them, the team initially blamed technical debt: messy code, poor architecture, hurried implementations. But as we dug deeper, the real problem emerged: no one on the team could explain why certain design decisions had been made or how different parts of the system were supposed to work together. The code might have been messy, but the bigger issue was that the theory of the system, their shared understanding, had fragmented or disappeared entirely. They had accumulated cognitive debt faster than technical debt, and it paralyzed them.

I've experienced this myself on some of my more ambitious vibe-code-adjacent projects. I've been experimenting with prompting entire new features into existence without reviewing their implementations and, while it works surprisingly well, I've found myself getting lost in my own projects.

I no longer have a firm mental model of what they can do and how they work, which means each additional feature becomes harder to reason about, eventually leading me to lose the ability to make confident decisions about where to go next.

Via Martin Fowler

Tags: definitions, ai, generative-ai, llms, ai-assisted-programming, vibe-coding

Replacement crew docks at space station, boosts crew back to seven

The Crew 12 fliers cavort aboard the International Space Station shortly after floating inside Saturday. They joined station commander Sergey Kud-Sverchkov, back left in black shirt, NASA astronaut Chis Williams and cosmonaut Sergey Mikaev, both wearing black shirts. The Crew 12 astronauts, from left to right, are cosmonaut Andrey Fedyaev (upside down), Jack Hathaway, Jessica Meir and French astronaut Sophie Adenot at far right. Image: NASA

A SpaceX Crew Dragon capsule glided in for a Valentine’s Day docking at the International Space Station Saturday boosting the lab’s crew back to a full complement of seven one month after four other fliers came home early because of a medical issue.

The Crew Dragon docked at the space-facing port of the lab’s forward Harmony module at 3:15 p.m. EST, 34 hours after launch Friday from the Kennedy Space Center atop a Falcon 9 rocket.

“Grateful to be on board, and we’re ready to get to work,” radioed Crew 12 commander Jessica Meir, making her second long-duration stay aboard the space station.

Joined by veteran Russian cosmonaut Andrey Fedyaev and two space rookies, Jack Hathaway and European Space Agency astronaut Sophie Adenot, the Crew 12 fliers opened the Crew Dragon’s hatch and floated into the station two hours after docking.

Amid hugs and handshakes, they were welcomed aboard by space station commander Sergey Kud-Sverchkov, Sergey Mikaev and NASA astronaut Chris Williams. They were launched to the outpost last November aboard a Russian Soyuz spacecraft.

“Welcome to Crew 12,” Kud-Sverchkov said in a brief ceremony. “We are happy they all arrived safe and sound, we’ve been waiting for this moment for a very long time. We’re really happy and proud to work as a team here.”

Meir replied, saying “it is so wonderful to be back up here … You look around, the crew up here, and it’s really a testament to everything we do, we have so many countries represented, so many backgrounds, so many disciplines, we are so excited to be here.”

The Crew Dragon closes in on the space station after a smooth rendezvous, bringing four fresh crew members to the outpost. Image: NASA

As for the trip up, Adenot, a veteran French air force helicopter test pilot, sky diver and SCUBA expert, said SpaceX gave the crew “quite a ride, very fun!”

“The first time we looked at the Earth was, wow, mind blowing,” she said. “The Earth is so beautiful from up (here). We see no lines, no borders, it was a very big moment for us, for Jack and me, to see that for the first time.”

Meir and her crewmates are replacing Crew 11 commander Zena Cardman, Mike Fincke, Japanese astronaut Kimiya Yui and cosmonaut Oleg Platonov, whose early departure last month left the station with just three occupants: Kud-Sverchkov, Mikaev and Williams.

While the outpost can be safely operated by a crew of three, a single NASA astronaut cannot carry out a full range of NASA and partner agency research as well as required maintenance.

In addition, spacewalks, which require two astronauts using a “buddy” system, are ruled out.

NASA managers attempted to move up Crew 12’s launch by about four days to as early as Feb. 11 to shave off some of the time Williams would be the sole operator of systems in the U.S. segment of the space station.

A camera inside the Crew Dragon capsule looks over the shoulders of commander Jessica Meir, left, and Jack Hathaway as they monitored cockpit displays during final approach to the International Space Station. Image: SpaceX via NASA

But because of conflicts with work to ready NASA’s Artemis II moon mission​ for launch, along with high winds earlier this week along the Crew Dragon’s ascent trajectory, Meir and company ended up launching Friday.

With the addition of Crew 12, research in the U.S. segment can resume its normal pace and spacewalks can be staged as needed.

“Crew 12 is honored to join our Expedition 74 friends and colleagues … to add our chapter to the story of the International Space Station,” Hathaway radioed.

The rendezvous went off without a hitch. But earlier in the day, the crew held a private medical conference, or PMC, and said they might need a follow-on PMC after docking. They later confirmed they did, in fact, want a post-docking medical conference.

“We’re going to go forward with that plan, so if you could just have the (flight) surgeon ready for us after we get all docked we would appreciate that,” Hathaway radioed. Mission control replied: “We’ll be ready to support.”

Under strictly enforced medical privacy guidelines, NASA does not discuss astronaut health issues, and it wasn’t known what sort of issue might have prompted the request for a post-docking PMC.

About half the men and women who fly in space suffer nausea and related symptoms during their initial adaptation to weightlessness, but the discomfort typically abates after a few days in orbit.

Taxing Beta, Exempting Alpha: A Benchmark-Based Inheritance Regime

This paper proposes a generational benchmark inheritance regime as a structural replacement for the federal estate tax. By distinguishing between systemic market returns (Beta) and active value creation (Alpha), the regime captures the passive growth of capital at generational boundaries while fully exempting idiosyncratic surplus. Using a Pareto tail interpolation (α ≈ 1.163) calibrated to Federal Reserve wealth data, we estimate baseline annual revenue of approximately $295 billion under conservative assumptions. This revenue is sufficient to finance a 2.1 percentage point reduction in the OASDI payroll tax, shifting the fiscal burden from labor to underperforming dynastic capital. Unlike continuous wealth taxes, the regime requires no new valuation machinery, relying exclusively on existing estate and gift tax procedures. We situate the proposal within the Jeffersonian principle of usufruct and the modern literature on optimal inheritance taxation.

From mathematician Gary Cornell.

The post Taxing Beta, Exempting Alpha: A Benchmark-Based Inheritance Regime appeared first on Marginal REVOLUTION.

       

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February 13, 2026

What, to a Country, Is a Child’s Birthday?

Liza Donnelly and I take on Valentine’s Day from a different perspective this year. Nations, like people, have the power to choose to be whatever they wish, and no one illustrated that idea better than Frederick Douglass.

Liza writes and illustrates Seeing Things, a daily exploration of this American moment through drawings and artistic observation the same way I look at it through history.

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February 13, 2026


At midnight tonight, most of the agencies and services in the Department of Homeland Security (DHS) will run out of funding, as popular fury over the violence and lawlessness of federal agents from Immigration and Customs Enforcement (ICE) and the U.S. Border Patrol made Senate Democrats refuse to agree to fund DHS without reforms. And yet, because the Republicans lavished money on ICE and Border Patrol in their July 2025 budget reconciliation bill—the one they call the One Big Beautiful Bill Act—those agencies will continue to operate. The 260,000 federal employees affected by the partial shutdown will come from other agencies in DHS, including the Federal Emergency Management Agency (FEMA), the Transportation Security Agency (TSA), and the Coast Guard.

A measure to fund DHS passed the House by a majority vote, but in the Senate, the filibuster allows the Democrats, who are in the minority, to make demands before the measure can pass. On February 4, Senate minority leader Chuck Schumer (D-NY) and House minority leader Hakeem Jeffries (D-NY) sent Senate majority leader John Thune (R-SD) and House speaker Mike Johnson (R-LA) a letter outlining demands Democrats want incorporated into a measure to appropriate more funds for the Department of Homeland Security (DHS).

Those demands are pretty straightforward. The Democrats want federal agents to enter private homes only with a judicial warrant (as was policy until the administration produced a secret memo saying that DHS officials themselves could sign off on raids, a decision that runs afoul of legal interpretations of the Fourth Amendment). They want agents to stop wearing masks and to have their names, agencies, and unique ID numbers visible on their uniforms, as law enforcement officers do. They want an end to racial profiling—that is, agents detaining individuals on the basis of their skin color, place of employment, or language—and to raids of so-called sensitive sites: medical facilities, schools, childcare facilities, churches, polling places, and courts.

They want agents to be required to have a reasonable policy for use of force and to be removed during an investigation if they violate it. They want federal agents to coordinate with local and state governments and for those governments to have jurisdiction over federal agents who break the law. They want DHS detention facilities to have the same standards as any detention facility and for detainees to have access to their lawyers. They want states to be able to sue if those conditions are not met, and they want Congress members to have unscheduled access to the centers to oversee them.

They want body cameras to be used for accountability but prohibited for gathering and storing information about protesters. And they want federal agents to have standardized uniforms like those of regular law enforcement, not paramilitaries.

As Schumer and Jeffries wrote, these are commonsense measures that protect Americans’ constitutional rights and ensure responsible law enforcement, and should apply to all federal activity even without Democrats demanding them. Democrats said White House offers were insufficient to address their concerns, although the White House did not make its position public. Before they left Washington yesterday for a ten-day break, senators refused to fund DHS in its current state.

Before the vote, administration officials appeared to try to soften the image of the federal agents who have terrorized Americans, arrested citizens and legal immigrants as well as undocumented immigrants, and shot people. Trump’s immigration advisor Tom Homan, who took over in Minneapolis after Border Patrol agents acting under the leadership of then-commander Greg Bovino shot and killed a second American citizen in that city, told reporters yesterday that that administration will end its surge of federal agents into Minneapolis, saying it had achieved “successful results” including 4,000 people arrested. Agents will remain in the city, he said, but the surge of thousands of agents will end. Torey Van Oot of Axios adds that more than a dozen federal prosecutors resigned after the Department of Justice declined to investigate the killings of Renee Good and Alex Pretti, and support for Trump’s handling of deportations cratered as Americans saw children tear-gassed and citizens shot.

Acting director of ICE Todd Lyons told the House Homeland Security Committee on Tuesday that the agency is training agents adequately before they go into the field and that once there, they are properly enforcing U.S. immigration laws. “And,” he added, “we are only getting started.”

But Lyons’s claim that federal agents are adequately trained was belied on Wednesday when the Federal Aviation Administration (FAA) abruptly closed the airspace over El Paso, Texas, for what it initially said would be ten days. Such a closure would shut down all flights below 18,000 feet, including medical helicopters, and is rare enough that the comparison media used was to the closure of airspace after 9/11. Confusion reigned, since no one had notified even the mayor of El Paso, a city of 700,000 people. Shortly afterward, the FAA reopened the airspace.

Administration officials immediately said the problem was drones flown into the area by drug cartels, though such drone flights are common. Then the media reported that the Defense Department had been testing out a new antidrone defense system without signoff from the FAA on danger to civilian planes. Then it turned out that Defense Secretary Pete Hegseth had permitted U.S. Customs and Border Protection, the parent agency of Border Patrol, to use an antidrone laser near Fort Bliss, where detainees are housed at Camp East Montana. Someone then used the laser without informing the FAA. And then it turned out that the “drones” agents used the laser to shoot down were actually party balloons.

That the Defense Department is loaning a military weapon to CBP is itself concerning, but that a weapon powerful enough to cause the closure of El Paso’s airspace was in the hands of someone who mistook balloons for cartel drones is also a problem. So, too, of course, is that the administration’s initial impulse was to lie about what happened.

In his testimony, Lyons maintained that ICE is indeed prioritizing the removal of undocumented immigrants with records of violent crime, enabling Republicans to claim that Democrats who want to rein ICE in are deliberately endangering public safety. Camilo Montoya-Galvez of CBS News reported this week that documents from DHS itself show that fewer than 14% of the nearly 400,000 immigrants arrested in Trump’s first year had either convictions or charges for violent crimes, with fewer than 2% either charged with or convicted of homicide or sexual assault.

Leah Feiger of Wired reported today that ICE has been quietly and aggressively expanding across the United States in the past months. It has bought or leased new facilities in nearly every state, many of them outside of the country’s largest cities, although they are concentrated in Texas. Feiger reports that DHS asked the General Services Administration (GSA), which manages government properties, to ignore competitive bidding rules and hide lease listings out of “national security concerns.”

Douglas MacMillan and Jonathan O’Connell of the Washington Post reported today that ICE officials are planning to spend $38.3 billion to buy warehouses across the country. ICE will retrofit sixteen of them to become processing centers that can hold 1,000 to 1,500 detainees at a time before funneling them into eight megacenters that can hold up to 10,000 detainees each.

The administration has dramatically changed ICE policy to assert the right to imprison noncitizens until they are deported, even if they are applicants for asylum. Representative Jamie Raskin (D-MD) made an unannounced oversight visit to the ICE field facility in Baltimore, Maryland, yesterday. He saw “60 men packed into a room shoulder-to-shoulder, 24-hours-a-day, with a single toilet in the room and no shower facilities. They sleep like sardines with aluminum foil blankets.” Mike Hixenbaugh at NBC News today narrated the life of a Russian family in the U.S. seeking asylum. For four months, they have been incarcerated at the Dilley Immigration Processing Center in Texas, where there is little medical care and the food is often spoiled with mold or worms.

In a statement, a spokesperson for DHS accused the media of “peddling hoaxes” about poor conditions in detention centers.

But DHS has lied about so many things that no one should take their words seriously. In January, when an ICE agent shot Julio Cesar Sosa-Celis in Minneapolis, DHS claimed that he had driven away from a “targeted traffic stop,” crashed into a parked car, and run. When an ICE agent caught up with him and Alfredo Alejandro Aljorna, DHS said, the men had attacked the agent with a snow shovel and a broom handle. DHS said an agent had then fired on the men “to defend his life.” The men escaped but were later captured and charged with assault.

Yesterday, the Justice Department dropped the charges, saying “newly discovered evidence” suggested the allegations were false. Aljorna’s lawyer explained: “It is my understanding that the video surveillance evidence that captured the incident was materially inconsistent with the federal agent's claims of what happened.”

Last night, in a deep expose of Homeland Security Secretary Kristi Noem and her advisor Corey Lewandowski, Wall Street Journal reporters Michelle Hackman, Josh Dawsey, and Tarini Parti described a department in chaos. Noem and Lewandowski—who the authors say are having an affair and essentially run the department together—are using DHS for their own aggrandizement with an eye to elevating Noem to the presidency. The reporters detailed the focus on image, the decimation of ICE by firing or demoting 80% of the career field leadership that was in place when they arrived, the apparent steering of contracts to allies, and Noem and Lewandowski's excessive demands, including “a luxury 737 MAX jet, with a private cabin in back, for their travel around the country.” DHS is currently leasing the $70 million plane but is in the process of buying it.

DHS and the violence of federal agents have exacerbated rather than silenced opposition to the Trump administration, causing a crisis for it as the American people increasingly turn against it. Trump is adamant that Republicans must win the 2026 elections and so is calling for new election laws, claiming that Democrats can win elections only through the illegal votes of undocumented immigrants.

This ties DHS and American elections together. Today Noem told reporters in Arizona that Congress must pass the Safeguard American Voter Eligibility, or SAVE America, measure to secure U.S. elections, lying that noncitizens are voting for Democrats and thus enabling them to win elections. This is an old saw Republicans have used since 1994, the year after the Democrats passed the Motor Voter Act, and it has been repeatedly debunked. Indeed, when reporters asked for an example of noncitizen voting, she said she couldn’t point to a case but assumed it happened. The bill not only would require voters to show either a passport or a birth certificate with the name matching theirs in order to register, but would also require states to purge their voting rolls every month. The measure passed the House Wednesday but must overcome a filibuster to pass the Senate.

Jen Fifield of ProPublica and Zach Despart of ProPublica and the Texas Tribune reported today that DHS has been using an electronic tool called Systematic Alien Verification for Entitlements (SAVE), previously used to check eligibility for public benefits, to find noncitizen voters in a database made up of confidential data from different government agencies. That information includes confidential data from the Social Security Administration, accessed by the Department of Government Efficiency. Republican secretaries of state in twenty-seven states have agreed to use SAVE to check their voter rolls.

But Fifield and Despart report that the system makes "persistent mistakes,” frequently assessing naturalized citizens as noncitizens. The system automatically refers those individuals to DHS for possible criminal investigation, and in certain states, individuals have had to prove their citizenship to be reinstated as voters. “This is not ready for prime time,” county clerk Brianna Lennon of Boone County, Missouri, told the reporters. “And I’m not going to risk the security and the constitutional rights of my voters for bad data.”

And so Trump clearly thinks he must take matters into his own hands. Although the Constitution is quite clear that it is Congress, and Congress alone, that can make laws, today his social media account announced he intends to change the nation’s voting laws all by himself. The account posted: “The Democrats refuse to vote for Voter I.D., or Citizenship. The reason is very simple—They want to continue to cheat in Elections. This was not what our Founders desired. I have searched the depths of Legal Arguments not yet articulated or vetted on this subject, and will be presenting an irrefutable one in the very near future. There will be Voter I.D. for the Midterm Elections, whether approved by Congress or not! Also, the People of our Country are insisting on Citizenship, and No Mail-In Ballots, with exceptions for Military, Disability, Illness, or Travel. Thank you for your attention to this matter! PRESIDENT DONALD J. TRUMP”

Today, ICE protesters carried a giant U.S. Constitution through the streets of Minneapolis, demanding that federal agents honor the rights the Framers established with that foundational document.

Notes:

https://www.theguardian.com/us-news/2026/feb/12/dhs-funding-blocked-senate-democrats

https://thehill.com/homenews/senate/5735798-shutdown-senate-democrats-homeland-security-bill/

https://abc7ny.com/post/homeland-security-shutdown-seems-certain-funding-talks-between-white-house-democrats-stall/18595445/

https://www.axios.com/local/twin-cities/2026/02/12/trump-ice-metro-surge-ends-minneapolis

https://www.politico.com/news/2026/02/10/ice-todd-lyons-dhs-funding-hearing-00774309

https://www.pbs.org/newshour/politics/watch-dhs-secretary-noem-speaks-about-save-act-and-election-security-in-phoenix

https://www.cbsnews.com/news/ice-arrests-violent-criminal-records-trump-first-year/

https://www.propublica.org/article/save-voter-citizenship-tool-mistakes-confusion

https://www.democracydocket.com/news-alerts/noem-joins-arizona-election-deniers-to-rally-for-save-america-act/

https://www.pbs.org/newshour/show/what-caused-the-sudden-and-confusing-closure-of-el-pasos-airspace

https://apnews.com/article/faa-el-paso-texas-air-space-closed-1f774bdfd46f5986ff0e7003df709caa

https://www.nbcnews.com/politics/national-security/cbp-shot-party-balloons-anti-drone-tech-faa-closed-el-paso-airspace-so-rcna258731

https://www.washingtonpost.com/business/2026/02/13/ice-detention-center-expansion/

https://www.ms.now/news/fbi-cbp-shot-laser-at-valentines-balloons-it-thought-were-drones

https://www.nbcnews.com/news/us-news/russian-family-ice-detention-dilley-texas-nightmare-immigration-rcna258377

https://www.wired.com/story/ice-expansion-across-us-at-heres-where-its-going-next/

https://www.wbal.com/u-s-rep-jamie-raskin-makes-surprise-visit-to-staggeringly-overcrowded-ice-facility-in-baltimore

https://www.rawstory.com/jamie-raskin-2675265218/

https://www.courtlistener.com/docket/72164500/48/united-states-v-aljorna/

https://www.cbsnews.com/news/doj-drops-charges-assaulting-ice-officers-inconsistent-evidence/

https://www.wsj.com/politics/policy/chaos-kristi-noem-homeland-security-f095ac95?mod=hp_lead_pos7

The Bulwark
The El Paso Balloon Incident Could Have Been a Disaster
AFTER PROLONGED CONFUSION, we may have some clarity on what caused the emergency restriction on the airspace around El Paso International Airport: Someone used a sophisti…
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Politics Chat, February 13, 2026

Saturday 14 February 1662/63

Up and to my office, where we met and sat all the morning, only Mr. Coventry, which I think is the first or second time he has missed since he came to the office, was forced to be absent. So home to dinner, my wife and I upon a couple of ducks, and then by coach to the Temple, where my uncle Thomas, and his sons both, and I, did meet at my cozen Roger’s and there sign and seal to an agreement. Wherein I was displeased at nothing but my cozen Roger’s insisting upon my being obliged to settle upon them as the will do all my uncle’s estate that he has left, without power of selling any for the payment of debts, but I would not yield to it without leave of selling, my Lord Sandwich himself and my cozen Thos. Pepys being judges of the necessity thereof, which was done. One thing more that troubles me was my being forced to promise to give half of what personal estate could be found more than 372l., which I reported to them, which though I do not know it to be less than what we really have found, yet he would have been glad to have been at liberty for that, but at last I did agree to it under my own handwriting on the backside of the report I did make and did give them of the estate, and have taken a copy of it upon the backside of one that I have. All being done I took the father and his son Thos. home by coach, and did pay them 30l., the arrears of the father’s annuity, and with great seeming love parted, and I presently to bed, my head akeing mightily with the hot dispute I did hold with my cozen Roger and them in the business.

Read the annotations

Links 2/14/26

Links for you. Science:

Dozens of Bizarre Ancient Lifeforms Discovered in ‘Extraordinary’ Fossil Find
Recurring infection: Misha Angrist in conversation with Seth Mnookin, author of ‘The Panic Virus’
Gray wolves are hunting sea otters and no one knows how
Genes influence human lifespan far more than thought, new study suggests
Polio Was That Bad. One of RFK Jr.’s vaccine advisers recently floated the idea of stopping vaccination against the virus. It would be catastrophic.
Wily coyote who swam to Alcatraz gets ‘much fatter’ on prison island diet

Other:

Philadelphia’s ambitious plan to scare off ICE
Accountability for ICE and CBP. However bad you think the corruption and misconduct at ICE and CBP is — the reality is far far worse.
Trump Has Only One Tool in His Toolbox
A resignation and call to conscience at company owned by Maga billionaires
How you’re paying Kari Lake to fluff Trump’s ego
Phone Addiction
The conversation (not)
The Film Students Who Can No Longer Sit Through Films
Federal Agents Kill Again; Gunmen Still At Large
The Staircase of Oppression
Oops! Vikings Play-By-Play Moron Chooses Yesterday’s Right-Wing Lie For Wisecrack About Minneapolis Protesters
I Was A Combat Soldier In Iraq. Here’s The 1 Question Everyone Should Be Asking About ICE Right Now.
The pro-ICE church is worse than you think
With arrest of Don Lemon and Georgia Fort, Trump escalates ‘war’ in MN to include journalists
‘John Fetterman Has Completely Sold Out’: Philly DA Slams Trump’s ‘Favorite Senator’
Ozy Media Is A Monumental Bummer
ICE Is Circling Minnesota Schools, Looking For Children to Take
It’s amazing how recently tattooing was illegal here
Legendary Musician ‘Thinking Twice’ About Touring In Trump’s America: ‘Too Dangerous’
Epstein’s sex empire was ‘KGB honeytrap’: Paedophile financier had multiple talks with Putin after conviction – with Russian girls flown in to harvest ‘kompromat’ on world-famous figures
The New Fugitive Slave Act
How Right Wing Influencers Used AI Slop to Turn Renee Good Into a Meme
A Letter On Justice And Open Debate About Raping Children. Does Anyone Have Harper’s Email? (wicked satire)
Two Heads, Three Boobs: The AI Babe Meta Is Getting Surreal
‘Reminds me of Anne Frank’: Jewish seniors are offering to hide their Haitian caregivers as Trump’s TPS end looms
Many UK Users Soon Won’t Be Able to Access Pornhub
Even the quilting forums are protesting ICE now
Fascist Kink Roleplay Subreddit Draws the Line: No More ICE Porn
The Peacekeepers
Americans voted for Trump, but never supported Trumpism

SpaceX launches 600th Falcon 9 rocket to date with Starlink flight from Vandenberg

A long-exposure streak shot of SpaceX’s Falcon 9 rocket soaring away from Space Launch Complex 4 East at Vandenberg Space Force Base on the Starlink 17-13 mission on Feb. 14, 2026. Image: SpaceX

Update Feb. 14, 10:45 p.m. EST (0345 UTC): SpaceX deployed the 24 Starlink satellites.

SpaceX continued its busy weekend with the launch of its 600th Falcon 9 rocket to date. The milestone mission comes hours after its Dragon spacecraft arrived at the International Space Station as part of its 20th human spaceflight mission.

The Starlink 17-13 mission launched Saturday evening from Vandenberg Space Force Base. It sent 24 Starlink V2 Mini satellites into low Earth orbit.

Liftoff from Space Launch Complex 4 East happened at 5:59:59 p.m. PST (8:59:59 p.m. EST / 0159:59 UTC), at the end of the launch window. The rocket flew on a southerly trajectory upon leaving the pad.

SpaceX launched the mission using the Falcon 9 first stage booster with the tail number 1081. This was its 22nd flight after launching four missions for NASA (Crew-7, CRS-29, PACE, and TRACERS) among others.

More than eight minutes after liftoff, B1081 landed on the drone ship, ‘Of Course I Still Love You,’ positioned in the Pacific Ocean. This was the 178th landing on this vessel and the 571st booster landing to date for SpaceX.

Earlier in the day, SpaceX’s Crew Dragon spacecraft named Freedom arrived at the ISS at 3:15 p.m. EST (2015 UTC). The orbital arrival of three astronauts and one cosmonaut came roughly 34 hours after launching from pad 40 at Cape Canaveral Space Force Station.

NASA continues SLS hydrogen leak tests

SLS Artemis 2

A NASA test to confirm repairs to seals in the Space Launch System’s liquid hydrogen fueling system was only partially successful because of problems with ground equipment.

The post NASA continues SLS hydrogen leak tests appeared first on SpaceNews.

A new book captures the forces shaping space: China, the moon and industry

In this episode of Space Minds, Mike Gruss sits down with David Ariosto to discuss his new book, “Open Space.” David talks about how some of the themes of the […]

The post A new book captures the forces shaping space: China, the moon and industry appeared first on SpaceNews.

Senate committee advances FCC satellite licensing bill after changes

Illustration of satellite coverage for telecommunications services.

The Senate Commerce Committee approved a bill intended to streamline satellite licensing after revising provisions related to automatic approval of applications.

The post Senate committee advances FCC satellite licensing bill after changes appeared first on SpaceNews.

Upcoming Speaking Engagements

This is a current list of where and when I am scheduled to speak:

  • I’m speaking at Ontario Tech University in Oshawa, Ontario, Canada, at 2 PM ET on Thursday, February 26, 2026.
  • I’m speaking at the Personal AI Summit in Los Angeles, California, USA, on Thursday, March 5, 2026.
  • I’m speaking at Tech Live: Cybersecurity in New York City, USA, on Wednesday, March 11, 2026.
  • I’m giving the Ross Anderson Lecture at the University of Cambridge’s Churchill College at 5:30 PM GMT on Thursday, March 19, 2026.
  • I’m speaking at RSAC 2026 in San Francisco, California, USA, on Wednesday, March 25, 2026.

The list is maintained on this page.

Friday Squid Blogging: Do Squid Dream?

An exploration of the interesting question.

All This Has Happened in Just the Last 15 Days...

It’s fitting to share this story on Friday the 13th. Even so, this is more than bad luck. It’s all coordinated, planned, and well funded.

Ignore it at your own risk.

Everything I mention below has happened in just the last 15 days. You need to be aware of it—the future is coming at you fast and hard. But the media is asleep. So most of these stories are hidden from view.

Read on, and ask yourself: Is this the future we want?

We still have some chance to act, but soon it may be too late.


Please support my work—by taking out a premium subscription (just $6 per month).

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All this has happened in just the last 15 days…


On February 9, the head of AI safety at Anthropic resigned unexpectedly, warning people that “the world is in peril.”


Two days later, a researcher at rival company Open AI announced her resignation in a an article in the New York Times. She expressed dismay that her former employer was taking steps that have “potential for manipulating users in ways we don’t have the tools to understand, let alone prevent.”


In late January, a social networking site for AI agents was launched. One of the first things the AI agents did was create their own religion.


On that same site, AI agents discussed the need for ways of communicating in secrecy, so humans can’t listen.


According to forecasting site Polymarket, it’s likely that AI agents will begin suing human beings before the end of this month.


On February 12, Anthropic announced that it had just raised another $30 billion from an impressive list of investors, and bragged about unleashing AI agents on the world.

That same day, a software engineer shared the first known example of an AI agent trying to destroy a person’s career.

Read more

Minimum wage hikes and robots

This paper studies how minimum wage policy affects firms’ adoption of automation technologies. Using both state-level measures of robot exposure and novel plant-level data on industrial robot imports linked to U.S. Census microdata from 1992-2021, we show that increases in minimum wages raise the likelihood of robot adoption in manufacturing. Our preferred identification exploits discontinuities at state borders, comparing otherwise similar firms exposed to different wage floors. Across specifications, a 10 percent increase in the minimum wage increases robot adoption by roughly 8 percent relative to the mean.

That is from Erik Brynjolfsson, et.al., including Andrew Wang.  Via the excellent Kevin Lewis.

By the way, a photo from our textbook Modern Principles of Economics:

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Saturday assorted links

1. The myth of Nordic mobility.

2. How should Pakistan price its solar power?

3. Recoding America Fund jobs.

4. Data on lesbians in comedy.

5. Right to repair and defense contracting.

6. “Either in their private attitudes or public writings, religious researchers find less evidence for the secularization thesis, whereas secular scholars find more.

7. Pelicot interview (NYT).  Unfathomable.

8. The Jubalaires, Noah.

The post Saturday assorted links appeared first on Marginal REVOLUTION.

       

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Reading list 02/14/26

The Chronicle of Georgia, via Wikipedia.

Welcome to the reading list, a weekly list of news and links related to buildings, infrastructure, and industrial technology. Roughly 2/3rds of the reading list is paywalled, so for full access become a paid subscriber.

Housekeeping items this week:

Housing

The Atlantic has a piece on how difficult and user-unfriendly most smart home technology still is. This was true when Gizmodo published its 2015 article Why Is My Smart Home So Fucking Dumb?, and it seems like it’s still true today. [The Atlantic]

The Department of Justice is apparently considering opening an antitrust probe into US homebuilders, possibly due to their coordination on prices through a trade group. “Leading Builders of America”. [Bloomberg]

The US house of representatives passes the Housing in the 21st Century Act. This is the house version of the ROAD to Housing Act which was passed by the senate back in October, and which I talked about on Statecraft. Among other things these bills remove the requirement that manufactured (mobile) homes have steel chassis, which the industry has long complained about. [X]

Trump and newly elected New York mayor Zohran Mamdani are apparently both enthusiastic about NYC zoning reform. [Politico]

Americans are taking on more and more credit card debt, but mortgage delinquencies so far remain fairly flat. [X]

Buildings are apparently more frequently collapsing in the Southern Mediterranean, possibly due to increased erosion due to rising sea levels. “Alexandria, a historic and densely populated port city in Egypt representative of several coastal towns in the Southern Mediterranean, has experienced over 280 building collapses along its shorelines over the past two decades, and the root causes are still under investigation.” [Wiley] [Usc]

Sunderji’s Paradox: the rich spend a smaller fraction of their income on their housing than the poor, but as countries get richer these fractions don’t change. [Substack]

“London has been set a target of building 88,000 new homes per year over the next decade. Last year construction started on just 5,891 — 94 per cent below target, a 75 per cent year-on-year decline, the steepest drop in the country, the lowest tally since records began almost 40 years ago and the lowest figure for any major city in the developed world this century.” [FT]

Manufacturing

The WSJ has a piece on Corning, the glass company that’s manufacturing the suddenly-in-demand fiber optic cable for AI data centers. “In 2018, Weeks and O’Day went to Dallas to tour a data center owned by Meta, then known as Facebook. They marveled at the demand for fiber-optic cabling to connect all the servers inside that giant warehouse. Facebook was using a mix of copper cables and existing fiber optics, but found both ill-suited to the task. This spurred Corning’s engineers to make their cables thinner, but also tougher, so they could withstand tight bends, says Claudio Mazzali, Corning’s head of research. Five years later, ChatGPT made its debut, and demand for fiber-powered data centers exploded. “We’re thankful that we made the trip in 2018 and thankful that we made the bet,” says O’Day. At the time, they had no idea whether it would be a good investment or a dud, he adds.” [Wall Street Journal]

In other glass manufacturing news, the WSJ also has a piece about windshield manufacturers upset about a US-based, Chinese-owned windshield factory making windshields for far cheaper than they can. [Wall Street Journal]

Bloomberg has a piece on whether its only a matter of time before Chinese cars are available in the US. One interesting point is that it’s actually Korean and Japanese imports (which dominate the low end of the US market), not US brands, which might be most threatened by an influx of low-priced Chinese cars. [Bloomberg]

BYD’s January sales were 30% lower than last year. [X]

A US drone manufacturer was booted out of their space at the Brooklyn Navy Yard, apparently in part due to activist pressure upset that they were supplying drones to Israel. [Mondoweiss] [X]

The Whitehouse released a maritime action plan for revitalizing US shipbuilding. I haven’t had a chance to read through it closely, but it seems to be a collection of a few dozen policy recommendations. [White House]

We’ve previously noted that a big drawback of tariffs is that they can make domestic manufacturing less competitive by jacking up the price for inputs to manufacturing. Now the Trump Administration plans to relax the tariffs of metal and aluminum. [FT]

Read more

4th Computational and Experimental Economics Summer School, UPF Barcelona, May31-June 6

Rosemarie Nagel writes from Barcelona:

Dear colleagues and graduate students,

 We invite graduate students, postdocs, and young faculty to the 4th Computational and Experimental Economics Summer School, to be held on May 31 - June 6, 2026, at the BESLab at UPF in Barcelona, Spain.

 The goal of the summer school is to build a foundation for using computational tools, machine learning methods, and large language models to complement and/or explain results from human-subject experiments. In particular, throughout the curriculum, students will learn to implement a variety of agent-based models that have successfully captured regularities observed in experimental and field data.  

 

In addition, the summer school will include a two-day workshop on computational and experimental economics at the BSE summerforum, featuring presentations by leading researchers in experimental and computational economics.

 The deadline for applications is March 7th, 2026, for the summer school. 

 You can find more information and details on how to participate in the summer school here: https://www.upf.edu/web/beslab/comp-2026

 Organizers,

 Herbert Dawid (Bielefeld University)

Mikhail Anufriev (University of Technology Sydney)

Rosemarie Nagel (ICREA-UPF, and BSE)

Valentyn Panchenko (University of New South Wales)

Yaroslav Rosokha (Purdue University)

‘Very lucky day’: NASA, SpaceX ace astronaut launch to the space station on Friday the 13th

A composite shot showing the liftoff of SpaceX’s Falcon 9 from Space Launch Complex 40 and the landing of the Falcon booster, 1101, at the new recovery site, Landing Zone 40, during NASA’s SpaceX Crew-12 mission on Friday, Feb. 13, 2026. Image: John Pisani/Spaceflight Now

Flying in the face of superstition, NASA and SpaceX conducted a smooth countdown and launch of three astronauts and a cosmonaut to begin the latest, long-duration mission to the International Space Station on Friday, Feb. 13.

The nine Merlin 1D engines roared to life at 5:15 a.m. EST (1015 UTC) following a smooth countdown. It was the first time that NASA conducted a crewed mission on a Friday the 13th.

“It turns out Friday the 13th is a very lucky day,” the SpaceX launch director quipped moments after the Dragon Freedom spacecraft separated from the Falcon 9 rocket’s upper stage. “Jessica, Jack, Sophie, Andrey, it’s been a pleasure training with you and preparing for your flight. For the entire Falcon launch team, thank you, good luck and god speed to the crew of Freedom.”

“Thank you team, that was quite a ride. Thank you, SpaceX, Falcon 9, and NASA teams,” Crew-12 commander and NASA astronaut Jessica Meir replied. “We have left the Earth, but the Earth has not left us. When we gaze at our planet from above, it is immediately clear that everything is interconnected.”

The four members of NASA’s SpaceX Crew-12 mission emerge from the Neil Armstrong Operations and Checkouts building to greet friends and family before heading out to Space Launch Complex 40 for their flight. Left to right: Roscosmos cosmonaut Andrey Fedyaev, NASA astronaut Jack Hathaway, NASA astronaut Jessica Meir, ESA astronaut Sophie Adenot. Image: Michael Cain/Spaceflight Now

Crew-12 marks the second trip to space for both Meir and Roscosmos cosmonaut Andrey Fedyaev and the first flight for NASA astronaut Jack Hathaway and European Space Agency astronaut Sophie Adenot.

The quartet are scheduled to arrive at the orbiting outpost at about 3:15 p.m. EST (2015 UTC) on Saturday, Feb. 14, to begin an eight-month mission.

The launch of Crew-12 was the first astronaut flight for NASA with Jared Isaacman serving in the role of NASA Administrator. A veteran of two commercial spaceflights himself, he said it was special to witness a crewed launch from his current vantage point.

“Felt like I might’ve had the second best seat in the house today going into the operations,” Isaacman said. “It was just wonderful to see everything in motion. Felt very privileged to be here alongside an extraordinary team preparing for an excellent mission, like Crew-12. Great to watch it.”

NASA, ESA, and SpaceX leadership discuss the early stages of the Crew-12 mission. From left to right, Bethany Stevens, NASA Press Secretary; Jared Isaacman, NASA Administrator; Steve Stich, Commercial Crew Program Manager; Dana Weigel, ISS Program Manager; Daniel Neuenschwander, ESA’s Human and Robotic Exploration Director; and Julianna Scheiman, SpaceX’s Director of NASA Science and Dragon Programs. Image: Will Robinson-Smith/Spaceflight Now

The launch also marked the debut of a new recovery site for SpaceX’s Falcon boosters: Landing Zone 40. SpaceX built out the site after the U.S. Space Force’s decision to require launch providers to move towards recovering orbital class rockets at locations adjacent to their launch pads, in order to free up real estate for other rocket companies.

The Crew-12 launch also marked the 20th human spaceflight mission for SpaceX to date.

SpaceX’s Falcon 9 booster, tail number 1101, descends upon Landing Zone 40, adjacent to Space Launch Complex 40, where the Crew-12 mission took off roughly eight minutes prior. Image: Adam Bernstein/Spaceflight Now

The forthcoming arrival of Crew-12 at the ISS marks the beginning of a busy period for the orbiting outpost. At the end of February, SpaceX will undock its Cargo Dragon vehicle that’s flying the company’s 33rd Commercial Resupply Services (CRS-33) mission.

That will be followed by the unberthing of JAXA’s (Japan Aerospace Exploration Agency) HTV-X cargo vehicle in early March. Then in the mid-March two astronauts will conduct a spacewalk that was postponed with the early departure of Crew-11 from the space station.

Then at the end of March, Roscomos is set to launch its next Progress cargo vehicle. Finally, in April, SpaceX will launch Northrop Grumman’s next Cygnus spacecraft, on the NG-24.

“So a lot going on, as always. Very, very busy onboard space station,” said Dana Weigel, manager of NASA’s International Space Station Program. “We’re really looking forward to having the crew onboard.”

NASA’s Space Launch System rocket and Orion spacecraft are seen at Launch Complex 39B on Sunday, Jan. 18, 2026, a day after arriving at the pad for prelaunch testing. Image: John Pisani/Spaceflight Now

After the early return of Crew-11 from the space station, NASA and SpaceX aimed to launch the Crew-12 mission as soon as Feb. 11, barring potential conflicts with Artemis 2 activities or weather constraints.

As it turned out, weather along the ascent corridor proved insurmountable for both Feb. 11 and Feb. 12. While Crew-12 was unable to launch on Thursday, NASA took the opportunity to perform what Isaacman called “a series of mini wet dress rehearsals” with the Space Launch System rocket.

Isaacman said during the post-launch press briefing that more information on the tests would be forthcoming.

“The teams wanted to have a chance to get together and review the data before taking a position on whether or not we’re going to advance to a full wet dress two or undertake additional kind of mini tests,” Isaacman said. “We already communicated through a blog that we replaced some seals and now we want to do as many tests as we possibly can before stepping into a full wet dress rehearsal operation again, to just gain confidence.”

He said while the results at this point are preliminary, they do show some promise for the Artemis 2 prelaunch campaign.

“At least from some of the early views, we did not see some of the leaks for the portion of the test we were running that had a comparable period during the full Artemis 2 wet dress we did,” Isaacman said. “So, it’s an early indication, but we’ll share more details. We’ll share more details when we get into it tomorrow, but I think they idea is we will continue to do everything available to gain confidence going into the full wet dress.”

Rocket Report: Say cheerio to Orbex; China is getting good at booster landings

Welcome to Edition 8.29 of the Rocket Report! We have a stuffed report this week with news from across the launch spectrum. Long-term, probably the most significant development this week was a subscale version of the Long March 10 rocket successfully launching and then executing a picture-perfect ocean landing. China is catching up rapidly to the United States when it comes to reusable launch.

As always, we welcome reader submissions, and if you don't want to miss an issue, please subscribe using the box below (the form will not appear on AMP-enabled versions of the site). Each report will include information on small-, medium-, and heavy-lift rockets as well as a quick look ahead at the next three launches on the calendar.

Orbex is going away. The UK-based launch company Orbex has entered insolvency proceedings after a planned takeover by European space logistics startup The Exploration Company fell through, European Spaceflight reports. In a statement, Orbex said the decision came after all "fundraising, merger and acquisition opportunities had all concluded unsuccessfully." For anyone paying attention, this decision should not come as a surprise. A decade into its existence, Orbex had yet to produce demonstrable, ready-for-flight hardware.

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Why is Bezos trolling Musk on X with turtle pics? Because he has a new Moon plan.

The founder of Amazon, Jeff Bezos, does not often post on the social media site owned by his rival Elon Musk. But on Monday, Bezos did, sharing a black-and-white image of a turtle emerging from the shadows on X.

The photo, which included no text, may have stumped some observers. Yet for anyone familiar with Bezos' privately owned space company, Blue Origin, the message was clear. The company’s coat of arms prominently features two turtles, a reference to one of Aesop’s Fables, "The Tortoise and the Hare," in which the slow and steady tortoise wins the race over a quicker but overconfident hare.

Bezos' foray into social media turtle trolling came about 12 hours after Musk made major waves in the space community by announcing that SpaceX was pivoting toward the Moon, rather than Mars, as a near-term destination. It represented a huge shift in Musk's thinking, as the SpaceX founder has long spoken of building a multi-planetary civilization on Mars.

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How SoCal became the nation's dairy queen

President Trump and Robert F. Kennedy Jr. are on a dairy kick. That's big news for California. One in every five glasses of milk that’s drunk in this country comes from California dairy companies.

The cocaine problem seems to be getting worse again

Colombian coca cultivation fell dramatically between 2000 and 2015, a period that saw intense U.S.-backed eradication and interdiction efforts. That progress reversed in 2015, when peace talks and legal rulings in Colombia opened enforcement gaps. Coca plantation has since increased to record levels, which coincided with a sharp rise in cocaine-related overdose deaths in the U.S. We estimate how much of that rise can be causally attributed to Colombia’s new coca boom. Leveraging the unforeseen coca supply shock and cross-county differences in pre-shock cocaine exposure, we find that the surge in supply caused an immediate rise in overdose mortality in the U.S. Our analysis estimates on the order of 1,000–1,500 additional U.S. deaths per year in the late 2010s can be attributed to Colombia’s cocaine boom. Implicit annual loss in American statistical life values about $48,000 per hectare of cultivation in Colombia. If left untamed, the current level of coca cultivation (over 230,000 ha in 2022) may impose on the order of $10 billion per year in costs via overdose fatalities.

That is from a new NBER working paper by Xinming Du, Benjamin Hansen, Shan Zhang, and Eric Zou.

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Trump Will Never Stop Dragging the American Economy Down

Photo by Daniel Torok

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When January’s job growth numbers were released this week, the headlines trumpeted that the news was surprisingly good. “Employers Hired Swiftly in January After a Dismal 2025,” said the New York Times. “U.S. employers added 130,000 jobs in January, the strongest gain in months,” said the Washington Post. “Employers added 130,000 jobs in January, blowing past expectations,” said CBS News. Hooray!

This framing is partly true but mostly false; it was a better month than expected, but the news is mostly bad. In any case here’s what we need to understand: While the economy will go up and down over the next three years, nothing will stop Donald Trump from acting as an anchor pulling it down. However it looks in a given day, month, or year, it will be worse than it might have been.

First, let’s look at what we just learned. While 130,000 added jobs is indeed the best monthly number of Trump’s second term, the report also contained some extremely bad news (which, to be clear, most major outlets also discussed). Namely, revisions to previous data showed that total job growth in 2025 was just 181,000. In a year with no recession, that is positively catastrophic. As a contrast, no fewer than 34 times during Joe Biden’s term, a single month’s job growth exceeded what Trump achieved in the entire first year of his term.

But that’s just the beginning. The bigger picture is that almost all the job growth we have seen lately has come in one area: health care. I made this graph to illustrate: It shows that while we keep adding more jobs in health care, as a whole the rest of the economy has been adding little or nothing in new jobs. In fact, in nine of Trump’s first twelve months, the rest of the economy lost jobs:

But wait, wasn’t there supposed to be a manufacturing boom? After all, this is something Trump cares a great deal about: Manly men doing manly work in factories, just like the good old days. That’s one of the main objectives of his tariff policy, to bring back manufacturing to America. How’s it going? Not so great: The number of manufacturing jobs has been going down all year, with just a tiny bump in January:

The Trump anchor

If you listen to Trump’s spokespeople and allies, we shouldn’t pay attention to any of this, because 2025 was just preparation for the glory to come:

Why, precisely, would that be? What in Trump’s policies will push the American economy to this spectacular “feast”?

The answer is: really nothing. There was a big tax cut bill, one that is giving rich people and corporations some more money, which in theory they could spend and invest. But if that has any effect on overall growth it will be minimal, and it’s unlikely to make any discernible difference in the average American’s life. So what else do they have?

First, there’s Trump’s tariffs. I’ve discussed this at length elsewhere so I won’t go into too much detail, except to say that what we’ve seen so far from the tariffs is what we’re likely to continue to see. Rather than being targeted at particular industries to whom we might want to give a boost in order to protect them from foreign competition, the tariffs will continue to be both sweeping (directed at all imports from many countries, whether what we’re importing is something we can make here or not) and unpredictable (raised or lowered depending on the vagaries of Trump’s whims). We will also be in a state of constant trade war with at least somebody, harming American companies that export goods. This means that we’ll get none of the benefits tariffs can offer if carefully designed, and all of the harms. As the Congressional Budget Office recently assessed, “The higher tariffs raise the cost of imported goods, temporarily increase inflation, reduce households’ purchasing power, and slow real investment.”

Next we have the immigration crackdown, which is already taking a toll on the economy, by deporting both undocumented and legal immigrants already here and by discouraging new arrivals. The crackdown is slowing the growth of the labor force, which makes it harder for employers to fill jobs. And like any workers, immigrants create economic activity with both their work and the money they spend. Immigrants pay more in taxes than they use in benefits, lowering deficits at the state and federal level. They start businesses at higher rates than native-born citizens. We’re sacrificing all of that benefit, and every day Trump is in office he will be working to make it worse.

Immigration and tariffs are the most visible parts of Trump’s damaging economic program, but we could list lots of others. His continued war on renewable energy will raise electricity costs. His eagerness to make climate change worse will worsen health and intensify disasters. His efforts to push people off their health insurance will lead to more sickness, missed work, and bankruptcies. His cuts to benefits like food stamps — which produce over $1.50 of economic activity for every dollar they cost — will drag the economy down even further. His gutting of the federal government will restrain innovation in science, technology, medicine, and many other areas.

Critically, none of this is going to change as long as he’s in office. His opponents might be able to restrain him here and there with lawsuits and smart politicking, but the basic contours of the Trump economic policy are going to continue.

That doesn’t necessarily mean we’re headed for an extended recession. The American economy is quite resilient; it can withstand a lot of disruption and attack. And for some reason, the stock market keeps growing no matter what happens (for now, anyway). But wherever the economy is at a particular moment, it’s worse than it would have been had we not had a president seemingly so determined to make the wrong decision at every possible turn.

Thank you for reading The Cross Section. This site has no paywall, so I depend on the generosity of readers to sustain the work I present here. If you find what you read valuable and would like it to continue, consider becoming a paid subscriber.

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The MAGA Bubble Is Imploding

A graph of growth and growth of the stock market

AI-generated content may be incorrect.

Source: Haver Analytics. US is S&P 500, Euro area S&P Euro 350.

Attorney General Pam Bondi’s meltdown on Wednesday while being questioned the House Judiciary Committee was exceptional, even by this administration’s rock-bottom standards. Has any high-level official ever before shrieked at a member of Congress, “You don’t tell me anything, you washed-up, loser lawyer”?

Yet what truly amazed me was her demand that Democrats stop talking about Jeffrey Epstein because the Dow was above 50,000. This plumbed new depths of moral bankruptcy, effectively saying: “How dare you complain about child rape when the stock market is up?”

There was an unmistakable stench of desperation in Bondi’s tantrum. And it fooled no one. The cracks are showing, as some congressional Republicans have now voted against Trump’s tariffs, Justice Department lawyers are quitting en masse or just plain cracking up, and attempts to weaponize prosecutions keep failing.

Now Tom Homan says that the ICE surge in Minnesota will be wound down — an ignominious retreat if true — while Democrats are standing firm on refusing further DHS funding without significant reforms. And Bondi’s yelling isn’t making Epstein go away.

But let’s examine Bondi’s demand that Americans ignore the omnishambles because stocks are up. It’s morally depraved, but what about the economics?

Yes, stock prices are up. As any economist can tell you, however, the stock market is a poor indicator of the economy’s overall health. Paul Samuelson famously quipped that the market had predicted nine of the last five recessions.

Furthermore, stock prices are up almost everywhere — and up more in other countries than they are in the United States. The chart at the top compares stock prices in the U.S. and in the euro area; since the latter is measured in euros, and the euro has risen against the dollar, Europe has substantially outperformed America.

And if we go beyond the stock market and look at what really matters to most Americans — affordability and jobs — the Trump economy isn’t delivering. Inflation remains stubbornly elevated. Despite one good month, employment growth has shriveled. And it keeps getting more difficult to find a job.

Here’s one measure I find useful, the Conference Board’s “labor market differential” — the difference between the percentage of Americans saying that jobs are plentiful and the percentage saying that jobs are hard to find:

A graph with blue line

AI-generated content may be incorrect.

Source: The Conference Board via Haver Analytics

This is certainly not a great economy. It’s not even a healthy economy. And Americans are not buying the administration’s lies.

MAGA types constantly bash Joe Biden while deifying Trump. Yet it took only a year for Americans outside the Republican base to decide that Biden was actually a better president. Here are results from the latest YouGov poll:

A blue and black graph

AI-generated content may be incorrect.

Source: YouGov

That was fast. And it belies the conventional wisdom that still sees Trump’s 1.5 percentage point popular vote margin in 2024 — smaller than Hillary Clinton’s margin in 2016! — as marking a fundamental realignment of U.S. politics.

What actually happened in 2024 was that low-knowledge voters believed Trump when he promised to bring prices way down and deliver unprecedented prosperity. “Low-knowledge” isn’t a pejorative: G. Elliott Morris uses it to mean voters who don’t know which party controls the House and Senate. These voters went strongly for Trump in 2024, but their opinion of him has crashed:

A graph with numbers and points

AI-generated content may be incorrect.

So while people inside the MAGA bubble keep insisting that Trump is a great president, the greatest president ever, presidenting like nobody has ever seen before, their cheerleading reeks of desperation. The MAGA implosion is gathering force. Americans are mad as hell, and they won’t be gaslit anymore.

MUSICAL CODA

Quoting Thoughtworks

The retreat challenged the narrative that AI eliminates the need for junior developers. Juniors are more profitable than they have ever been. AI tools get them past the awkward initial net-negative phase faster. They serve as a call option on future productivity. And they are better at AI tools than senior engineers, having never developed the habits and assumptions that slow adoption.

The real concern is mid-level engineers who came up during the decade-long hiring boom and may not have developed the fundamentals needed to thrive in the new environment. This population represents the bulk of the industry by volume, and retraining them is genuinely difficult. The retreat discussed whether apprenticeship models, rotation programs and lifelong learning structures could address this gap, but acknowledged that no organization has solved it yet.

Thoughtworks, findings from a retreat concerning "the future of software engineering", conducted under Chatham House rules

Tags: ai-assisted-programming, careers, ai

Anthropic's public benefit mission

Someone asked if there was an Anthropic equivalent to OpenAI's IRS mission statements over time.

Anthropic are a "public benefit corporation" but not a non-profit, so they don't have the same requirements to file public documents with the IRS every year.

But when I asked Claude it ran a search and dug up this Google Drive folder where Zach Stein-Perlman shared Certificate of Incorporation documents he obtained from the State of Delaware!

Anthropic's are much less interesting that OpenAI's. The earliest document from 2021 states:

The specific public benefit that the Corporation will promote is to responsibly develop and maintain advanced Al for the cultural, social and technological improvement of humanity.

Every subsequent document up to 2024 uses an updated version which says:

The specific public benefit that the Corporation will promote is to responsibly develop and maintain advanced AI for the long term benefit of humanity.

Tags: ai-ethics, anthropic, ai

The evolution of OpenAI's mission statement

As a USA 501(c)(3) the OpenAI non-profit has to file a tax return each year with the IRS. One of the required fields on that tax return is to "Briefly describe the organization’s mission or most significant activities" - this has actual legal weight to it as the IRS can use it to evaluate if the organization is sticking to its mission and deserves to maintain its non-profit tax-exempt status.

You can browse OpenAI's tax filings by year on ProPublica's excellent Nonprofit Explorer.

I went through and extracted that mission statement for 2016 through 2024, then had Claude Code help me fake the commit dates to turn it into a git repository and share that as a Gist - which means that Gist's revisions page shows every edit they've made since they started filing their taxes!

It's really interesting seeing what they've changed over time.

The original 2016 mission reads as follows (and yes, the apostrophe in "OpenAIs" is missing in the original):

OpenAIs goal is to advance digital intelligence in the way that is most likely to benefit humanity as a whole, unconstrained by a need to generate financial return. We think that artificial intelligence technology will help shape the 21st century, and we want to help the world build safe AI technology and ensure that AI's benefits are as widely and evenly distributed as possible. Were trying to build AI as part of a larger community, and we want to openly share our plans and capabilities along the way.

In 2018 they dropped the part about "trying to build AI as part of a larger community, and we want to openly share our plans and capabilities along the way."

Git diff showing the 2018 revision deleting the final two sentences: "Were trying to build AI as part of a larger community, and we want to openly share our plans and capabilities along the way."

In 2020 they dropped the words "as a whole" from "benefit humanity as a whole". They're still "unconstrained by a need to generate financial return" though.

Git diff showing the 2020 revision dropping "as a whole" from "benefit humanity as a whole" and changing "We think" to "OpenAI believes"

Some interesting changes in 2021. They're still unconstrained by a need to generate financial return, but here we have the first reference to "general-purpose artificial intelligence" (replacing "digital intelligence"). They're more confident too: it's not "most likely to benefit humanity", it's just "benefits humanity".

They previously wanted to "help the world build safe AI technology", but now they're going to do that themselves: "the companys goal is to develop and responsibly deploy safe AI technology".

Git diff showing the 2021 revision replacing "goal is to advance digital intelligence" with "mission is to build general-purpose artificial intelligence", changing "most likely to benefit" to just "benefits", and replacing "help the world build safe AI technology" with "the companys goal is to develop and responsibly deploy safe AI technology"

2022 only changed one significant word: they added "safely" to "build ... (AI) that safely benefits humanity". They're still unconstrained by those financial returns!

Git diff showing the 2022 revision adding "(AI)" and the word "safely" so it now reads "that safely benefits humanity", and changing "the companys" to "our"

No changes in 2023... but then in 2024 they deleted almost the entire thing, reducing it to simply:

OpenAIs mission is to ensure that artificial general intelligence benefits all of humanity.

They've expanded "humanity" to "all of humanity", but there's no mention of safety any more and I guess they can finally start focusing on that need to generate financial returns!

Git diff showing the 2024 revision deleting the entire multi-sentence mission statement and replacing it with just "OpenAIs mission is to ensure that artificial general intelligence benefits all of humanity."

Update: I found loosely equivalent but much less interesting documents from Anthropic.

Tags: ai, openai, ai-ethics, propublica

Changes in the Gender Wage Gap for Business Professionals

In the United States, much of the gap in earnings between men and women is due to the persistent gap for high wage earners. This paper explores changes in the gender wage gap for MBAs graduating from a large public university over 30 years. We document large gender wage gaps on average, which grow in the course of men’s and women’s careers. Comparing graduates at identical career stages across time periods to address composition concerns, we show that the raw gender wage gap has shrunk by 33 to 50 percent over the last two decades. Additionally, the temporal pattern of the gap has fundamentally shifted: while gaps only emerged over time in earlier decades, significant gaps now emerge immediately. Convergence in labor supply factors, particularly hours worked, explains much of the narrowing gap, alongside shifts in industry composition. However, unexplained wage gaps persist for recent graduates from the very start of their careers, suggesting different underlying mechanisms across cohorts. These findings highlight both progress in gender wage equity among business professionals and concerning patterns that emerge earlier in careers than in previous decades.

That is from a recent NBER working paper by Ann Harrison, Laura J. Kray & Noor Sethi.

The post Changes in the Gender Wage Gap for Business Professionals appeared first on Marginal REVOLUTION.

       

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Has ICE Debuted New ‘No Lying’ Policy?

Yesterday, one of ICE’s and the White House’s prize ICE-as-victim cases blew up. We’ve seen a version of this happen before. The story is pushed on Fox. Charges follow. But as it begins to make its way through the courts, it falls apart and the charges are more or less quietly dropped. We’ve seen so, so many of these cases where it’s clear that what the ICE agents said just wasn’t true. I don’t even have to tell you about some of the more obscure ones. Though they didn’t get to charges since the purported attackers were already dead, you can see the pattern in the killings of Renee Good and Alex Pretti. First, the story was that protestors were trying to kill ICE agents and the agents barely emerged alive. Then we see the video and none of that is true. The key, though, is that in those cases where charges were filed, it’s always no harm no foul. The claims of ICE agents are shown to have been false, but it’s on to the next wilding spree. There are no consequences. Not for the original behavior. Not for lying about it.

But yesterday something different happened. The DOJ went into court and asked that a set of charges be dismissed with prejudice, i.e., they can’t be filed again. And the reason was this sentence that’s been rattling around my head for the last 24 hours. “Newly discovered evidence in this matter is materially inconsistent with the allegations in the Complaint Affidavit.”

This doesn’t mean the kind of evidence you need to turn over to the defense because it might be considered exculpatory at trial. This sounds like evidence that means, what we charged them with totally didn’t happen. Our guys lied. Now Politico reports that ICE Acting Director Todd Lyons said today that the two officers who apparently lied are being investigated by the DOJ in connection with the case and … well, the lying thing.

In ordinary times, this wouldn’t require a lot of explanation. It’s no secret that law enforcement officers sometimes lie to justify unjustified use of force after the fact. And it’s no secret that prosecutors often give officers the benefit of the doubt. But if it becomes clear the officers are lying — like really clear — they’re going to be in a lot of trouble.

But that’s not how ICE works. ICE agents not only lie about being attacked all the time, they also get caught lying and it never matters. So what’s different in this case?

A few possibilities suggest themselves.

One is that the lying is so egregious and the discrediting evidence so strong that it’s just too much and they can’t not investigate these guys. That’s possible, but it kind of stretches credulity. Because that just hasn’t mattered in so many other cases. Usually they just drop the charges and move on.

Another possibility is that the facts here are really bad and it’s also a convenient moment to throw the book at someone to give ICE defenders a proof point they can refer to to argue that ICE is a lawful operation weeding out bad apples.

Yet a third possibility is that ICE and the White House are getting enough pushback from Republicans, a lot of it private so far, that they realize some house cleaning is necessary.

Of course, each of these theories require some level of rational, organized deliberation and action. And we’re not dealing with a rational and organized deliberation operation. I don’t know which of the above is the best explanation. But there’s one additional possible explanation that is more amorphous but perhaps comes closest to the truth.

As the public mood shifts, or perhaps as it hardens, against ICE, everyone gets a bit more insecure and worried. The public mood informs the next election and the bad midterm omens for MAGA raise the possibility of future consequences, future shifts in the political winds. When that happens, people get a little more skittish about looking the other way or covering things up. And when that happens at scale, old mores start, at least a little, to reassert themselves. Because going back to the book is safe. When the president is getting weaker, that becomes the safer bet. And when this skittishness starts to happen at scale, then it just gets harder to keep the cover ups and the new rules of the road working.

I suspect this is closest to the real story. To make the new Trump rules work, you’ve got to convince a lot of people that those new rules are for good and it’s safe to follow them. Not just the top people and the more thuggish ICE agents, but everyone. Everyone is a lot of people. When people get worried about future accountability, the politics of impunity get harder to sustain. It’s like sand grinding in the gears of collective lawlessness.

Bad Map Projection: Zero Declination

'The zero line in WMM2025 passes through a lot of population centers; I wonder what year the largest share of the population lived in a zone of less than 5° of declination,' he thought, derailing all other tasks for the rest of the day.

February 12, 2026

February 12, 2026

In a ceremony at the White House yesterday, surrounded by coal industry leaders, lawmakers, and miners, President Donald J. Trump was presented with a trophy that calls him “the undisputed champion of beautiful, clean coal.” At the event, Trump signed an executive order directing the Defense Department to buy billions of dollars of power produced by coal and decried “the Radical Left’s war on the industry.” Anna Betts of The Guardian noted that Trump also announced the Department of Energy will spend $175 million to “modernize, retrofit, and extend” the life of coal-fired power plants in West Virginia, Ohio, North Carolina, and Kentucky.

As Lisa Friedman pointed out in the New York Times last month, the United States has been the largest polluter since the start of the industrial era, but emissions of carbon dioxide, a key greenhouse gas, have been declining since 2007. Trump maintains that climate change is a “hoax” and has withdrawn the U.S. from the main global climate treaty. Since he took office in January 2025, U.S. emissions have increased 1.9% largely because of the renewed use of coal, the dirtiest of the fossil fuels.

Today, the Environmental Protection Agency revoked the scientific finding that has been the basis for regulating emissions from cars and power plants since 2009. That finding, called the endangerment finding, reflects the consensus of scientists that greenhouse gases produced by burning fossil fuels like coal, oil, and natural gas endanger the health and general welfare of the American people.

The Trump administration says scientists are wrong about the dangers of climate change and that the regulations hurt industry and slow the economy. It claims ending the rule will save Americans $1.3 trillion, primarily through cheaper cars and trucks, but it did not factor in the costs of extreme weather caused by climate change or the costs of pollution-related health issues.

Last year, Josh Dawsey and Maxine Joselow of the Washington Post reported that at a campaign event at Mar-a-Lago in April 2024, then-candidate Trump told oil executives they should raise $1 billion for his campaign. In exchange, Trump promised he would get rid of Biden-era regulations and make sure no more such regulations went into effect, in addition to lowering taxes. Trump told them $1 billion would be a “deal,” considering how much money they would make if he were in the White House.

Tyler Pager and Matina Stevis-Gridneff of the New York Times reported on Tuesday that Trump’s threats to stop the opening of the Gordie Howe International Bridge between Detroit, Michigan, and Windsor, Ontario, came just hours after billionaire Matthew Moroun, whose family operates a competing bridge, called Commerce Secretary Howard Lutnick. Moroun has tried to stop the construction of the new bridge for decades.

The $4.7 billion construction cost of the Gordie Howe bridge has been fully funded by Canada although the bridge is partly owned by Michigan and will be operated jointly by Canada and Michigan. The new bridge will compete with the Ambassador Bridge—the one the Moroun family operates—for about $300 million in trade crossing the border daily.

White House press secretary Karoline Leavitt told reporters that “This is just another example of President Trump putting America’s interest first.”

This afternoon, Dustin Volz, Josh Dawsey, and C. Ryan Barber of the Wall Street Journal reported that the whistleblower complaint of last May involved another country’s interception of a conversation between two foreign nationals who were discussing Trump’s son-in-law Jared Kushner, issues related to Iran, and perhaps other issues. Kushner runs Affinity Partners, an investment fund that has taken billions of dollars in funds from Arab monarchies. He does not have an official role in the U.S. government but appears to be acting in foreign affairs as a volunteer.

The Wall Street Journal reported on the existence of the whistleblower complaint on February 2, 2026, reporting that Director of National Intelligence Tulsi Gabbard had bottled it up for political reasons, taking it not to Congress but to White House chief of staff Susie Wiles. On February 3, Gabbard released a highly redacted version of the complaint to the Gang of Eight, the top member of each party in the House and Senate and the top member of each party on the House and Senate intelligence committees.

It may or may not be related that in early April 2025, the administration abruptly fired National Security Agency director General Timothy Haugh and his deputy, hours after dismissing several staffers at the National Security Council. At the time, conspiracy theorist Laura Loomer, who is close to Trump, posted on social media that Haugh and his deputy “have been disloyal to President Trump. That is why they have been fired.”

In Talking Points Memo, editor Josh Marshall has been exploring the contours of what he calls the Authoritarian International, which he identifies as “a host of authoritarian governments around the world, the princelings of the Gulf monarchies, the sprinkling of European right-ravanchist governments, the rightward portion of Silicon Valley (which accounts for a larger and larger percentage of the top owners if not the larger community), the Israeli private intel sector, various post-Soviet oligarchs and, increasingly, the world’s billionaire class.”

Marshall notes that those in this world are not just antidemocratic. They are constructing a private world in which deals are done secretly without any democratic accountability, mixing national interest with individual financial interest. The model operates in part by maintaining control over key figures thanks to compromising material on them. Marshall points out that the system can be oddly stable if everyone has something on everyone else.

Marshall’s description dovetails neatly with former Federal Bureau of Investigation director Robert Mueller’s 2011 explanation of the evolving organized crime threat. Organized crime had become multinational, he said, “making billions of dollars from human trafficking, health care fraud, computer intrusions, and copyright infringement [and] cornering the market on natural gas, oil, and precious metals, and selling to the highest bidder.” He explained: “These groups may infiltrate our businesses. They may provide logistical support to hostile foreign powers. They may try to manipulate those at the highest levels of government. Indeed, these so-called ‘iron triangles’ of organized criminals, corrupt government officials, and business leaders pose a significant national security threat.”

To protect this system, transparency must be prevented at all costs.

The administration seems to be illustrating this principle as it denies the right and duty of Congress to conduct oversight of the government. The Department of Justice (DOJ) has refused to release all the Epstein files to the public as Congress required when it passed the Epstein Files Transparency Act. Yesterday Attorney General Pam Bondi appeared before the House Judiciary Committee, but it was clear she was not there to answer lawmakers’ questions or explain why she had not released the files.

Nor did she acknowledge the survivors of Epstein’s sexual assaults and sex trafficking, many of whom were in the audience and noted that she had not met with them. When Representative Pramila Jayapal (D-WA) urged her to apologize to the survivors for the sloppiness of the release that had left many survivors’s names, identifying information, and even sexually explicit photos unredacted while covering the names of perpetrators, Bondi accused Jayapal of theatrics and, as Glenn Thrush of the New York Times reported, of dragging the hearing “into the gutter.”

Instead, she came prepared with a book of insults to aim at Democrats and met questions with attacks on the questioners and praise for Trump. Republican Thomas Massie (R-KY), who has been instrumental in pressuring the White House over the Epstein files, posted on social media: “A funny thing about Bondi’s insults to members of Congress who had serious questions: Staff literally gave her flash cards with individualized insults, but she couldn’t memorize them, so you can see her shuffle through them to find the flash-cards-insult that matches the member.”

Bondi was not only stonewalling but also demonstrating the tactics of authoritarian power, turning her own shortcomings into an attack on those trying to enforce rules. Even more ominously, Kent Nishimura of Reuters captured a photograph of a page of the book with a printout titled: “Jayapal Pramila Search History.” It appeared to be the files Representative Jayapal accessed after the DOJ made some of the Epstein files available at DOJ offices earlier this week.

This is a shocking intrusion of the executive branch into surveilling members of the legislative branch and weaponizing that information. The top Democrat on the Judiciary Committee, Representative Jamie Raskin (D-MD), said he will ask for an investigation of this “outrageous abuse of power.”

Bondi’s performance drew widespread condemnation from outside the administration, and even Republicans seemed to realize she was toxic: Scott MacFarlane of CBS News noted that in the committee hearing, Republicans didn’t use all their time to question her but simply yielded their time allotted to ask questions back to the committee.

But Bondi appeared to be playing to Trump, as she made clear when she veered into the bizarre claim that what the committee should be talking about was not the Epstein files but rather the booming stock market. Last month, Josh Dawsey, Sadie Gurman, and C. Ryan Barber of the Wall Street Journal reported that Trump was complaining to aides that Bondi is weak and ineffective. Yesterday’s performance pleased him.

This morning, Trump’s social media account posted: “AG Pam Bondi, under intense fire from the Trump Deranged Radical Left Lunatics, was fantastic at yesterday’s Hearing on the never ending saga of Jeffrey Epstein, where the one thing that has been proven conclusively, much to their chagrin, was that President Donald J. Trump has been 100% exonerated of their ridiculous Russia, Russia, Russia type charges…. Nobody cared about Epstein when he was alive, they only cared about him when they thought he could create Political Harm to a very popular President who has brought our Country back from the brink of extinction, and very quickly, at that!”

An Economist/YouGov poll released Tuesday shows that 85% of U.S. adults agree with the statement “There are powerful elites who helped Epstein target and abuse young girls. They protected him and need to be investigated.” Only 3% of American adults disagree. Fifty percent of American adults think Trump “was involved in crimes allegedly committed by Jeffrey Epstein,” while only 29% think he wasn’t.

Notes:

https://www.whitehouse.gov/articles/2026/02/champion-of-beautiful-clean-coal-president-trump-celebrates-industry-revival/

https://www.theguardian.com/us-news/2026/feb/12/trump-clean-coal-award

https://apnews.com/article/trump-epa-endangerment-climate-change-public-health-25764e8298db96c3c189b6833252b7ca

https://abcnews.com/US/epa-rescind-landmark-2009-endangerment-finding-greenhouse-gases/story?id=130060744

https://apnews.com/live/trump-immigration-climate-change-2-12-2026

https://www.nytimes.com/2026/01/12/climate/trump-climate-change-emissions-fuel.html

https://www.washingtonpost.com/politics/2024/05/09/trump-oil-industry-campaign-money/

https://www.nbcnews.com/politics/justice-department/pam-bondi-hearing-jeffrey-epstein-trump-rcna258522

https://www.thedailybeast.com/thomas-massie-roasts-pam-bondi-for-her-attempts-to-attack-lawmakers/

https://www.cbsnews.com/news/bondi-epstein-files-search-history-hearing-pramila-jayapal/

https://www.nytimes.com/2026/02/11/us/politics/bondi-testimony-epstein-files.html

https://talkingpointsmemo.com/edblog/more-thoughts-on-the-authoritarian-international

https://www.wsj.com/politics/policy/trump-has-complained-about-pam-bondi-repeatedly-to-aides-fd424df3

https://www.wsj.com/politics/national-security/gabbard-whistleblower-complaint-based-on-intercepted-conversation-about-jared-kushner-620659e0?mod=hp_lead_pos1

https://www.wsj.com/politics/national-security/classified-whistleblower-complaint-about-tulsi-gabbard-stalls-within-her-agency-027f5331

https://www.cbsnews.com/news/intelligence-watchdog-sensitive-whistleblower-complaint-congress-monthslong-delay/

https://www.npr.org/2025/04/04/g-s1-58247/national-security-agency-chief-fired-trump-timothy-haugh

https://www.theguardian.com/us-news/2026/feb/07/nsa-foreign-intelligence-trump-whistleblower

https://www.nytimes.com/2026/02/11/us/politics/bondi-testimony-epstein-files.html

https://www.nytimes.com/2026/02/10/world/canada/bridge-owner-trump-lutnick.html

https://www.thedailybeast.com/thomas-massie-roasts-pam-bondi-for-her-attempts-to-attack-lawmakers/

https://talkingpointsmemo.com/edblog/thinking-clearly-about-the-global-authoritarian-movement

https://talkingpointsmemo.com/edblog/more-thoughts-on-the-authoritarian-international

https://archives.fbi.gov/archives/news/speeches/the-evolving-organized-crime-threat

https://d3nkl3psvxxpe9.cloudfront.net/documents/econTabReport_vNnwPx2.pdf#page=57

X:

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Bluesky:

craigbrittain.com/post/3meonj4zsn22w

atrupar.com/post/3memg7wn5hu2q

atrupar.com/post/3melualitx22u

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February 11, 2026

Genie Session: Codex for Mac/GPUSortedMap

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Was my service worth it?

Robert Catanach is a Southern Californian and U.S. Army veteran.

I served for 21 years in the military, under Presidents Clinton, Bush, Obama, Trump (his first administration) and Biden. I’ve served in a lot of different places, from California to the Far East and from the Pacific Northwest to the Middle East.

I first joined the military in the 1990s. In high school, I was a C student from an isolated part of the country. So for me, service was an opportunity to do something different and meaningful; to see the world and get a little money for college. So I joined the Marine Corps. I accomplished what I set out to do. I left my hometown, I did something honorable that few do, I was able to travel a little and went to some very interesting places, including Japan and Australia. I made some awesome lifelong friends. I did my four years, finished my time, left active duty and went back home. I felt like the service was something I had to do. I wasn’t disciplined enough for college until I learned how to manage time and focus on goals, which I learned in the service.

After the Twin Towers fell on September 11, I wanted to do something. I remember on that day, I was enrolled in community college and living with my girlfriend (now wife). I woke up that Tuesday morning and was looking for the remote control so I could watch highlights from the previous night’s Broncos-Giants game. My girlfriend was getting ready for work and told me to turn on the TV because a plane had hit one of the World Trade Center towers. I watched in horror and felt helpless.

The next day, desperate to do something, I called the local recruiting station in my town. I was told by one of the recruiters that for now I was doing the right thing by going to college. They told me the office had a line out the door of people who wanted to enlist and most would be disqualified from service. But what I remember most of all that day was that feeling of the whole country united. People volunteered to go to Ground Zero to help with recovery. I remember a bunch of people organizing a blood drive at my college. Everyone wanted to do something to help.

Since the recruiters told me to finish my degree and then reach out for the possibility of becoming an officer, I focused on school for a while. I kinda put the thought on the back burner and kept on with my education. In 2003, I was still in college as I watched President Bush land on the aircraft carrier and deliver a speech with a big banner that read “Mission Accomplished” hanging from the ship. I assumed I had missed my moment to join and contribute, but I felt good that the conflict seemed to be under control because of our servicemen and women.

A few years went by and I continued to live. I got married, moved a couple times, changed jobs a few times. We’d hear about the wars on the news and about the growing insurgency in Iraq as the country fell into civil war. Then I remember watching the news one night and there was a story that featured service members who were doing multiple tours of duty and the stress and strain it was putting on them. We started hearing the term “stop loss” in reference to the military not letting service members leave active duty due to manpower shortages. We also would hear of deployments getting extended by months in order to make up for the shortfalls. There was no draft and service was voluntary, so it was harder to fill positions. I decided that I had to do something again. Even though I had already previously served and received an honorable discharge, I felt it was my duty to go back and serve again to do my share for our nation.

I spent a few months getting myself into shape. I hadn’t even run in a few years but I trained every single day. It may be a little corny, but I compared myself to an athlete attempting a comeback and my workout playlists even consisted of several “training montage” songs from movies like “Rudy,”, “Rocky” and “The Natural.” I even ran the 2008 OC Half Marathon. Finally, I signed a six-year contract with the Army. I again had pride that I was doing the right thing for the right reasons for the common good. I was ready to do my part.

My first time in service I had been single. I joined in my late teens and served into my early 20s. I barely even had a regular girlfriend for most of my time in the Marine Corps. Now I was in my early 30s and in a much different place in life. I was married and I had sold my wife on the idea of going back to the service. I told her it would probably be a few years before I’d have to be away for very long. About six weeks after I joined though, I was informed that I’d be deploying to Iraq the following summer for a year-long deployment. To add to this, my wife had recently given birth to our daughter, so we had an infant at home. Needless to say, that none of this sat very well, but we endured. I considered it worthwhile for the greater good.

I joined my unit for the train-up and mobilization and I did my tour in Iraq. I was stationed at FOB Kalsu in Babil Province Iraq, approximately 50-60 kilometers south of Baghdad along MSR Tampa (the main road running through Iraq). FOB Kalsu was named after the former Buffalo Bills offensive lineman Bob Kalsu, who died while serving in Vietnam.

I had similar experiences to many others. My unit wasn’t Special Forces or anything that high speed. We did leave the wire occasionally but never really ran into too much trouble. Our base was frequently rocketed. We weren’t just experiencing attacks on U.S. forces, we also were caught in the middle of skirmishes between Sunni and Shia groups in the area. Our team was commended several times by the brass for our efforts while working in an area under constant attack. Again, though, I told myself that I’m here because it kept some other soldier from having to go a third or fourth or fifth time.

All told between pre-deployment training and deployment time, I was gone for roughly 20 months. I’d get a few days at home here and there, but it only got harder to have to keep saying goodbye to my wife and kid. Many times I had to leave in the middle of the night to catch a flight and I would give my wife and daughter a kiss goodbye while they were still sleeping. My daughter was 1 when I first left and she was 3 by the time I finished the deployment. Anyone who has children knows that is a lot of time to miss, especially at that age. But, again, I reasoned that there were other service members who had missed the births of their children or had never come home again. I felt my own sacrifice was small in comparison, but was worth it.

After I got home, many of my peers had already made post-service plans. When I’d show for military training and functions, it felt like there were fewer and fewer of my crew who went with me. I, however, decided to stay. The Army had rewarded me. I promoted quickly and received several medals. This made me feel like I was doing the right thing. I even did a recruiting commercial for the Army in 2012. I was absolutely proud of my service. I spent the next few years training for the next deployment, which I assumed would be to Afghanistan. I passed my experience on to the newer soldiers and trained them to try to make them better prepared for their experience.

My next deployment never came though. I was put on alert a few times and did a brief rotation in South Korea, but never did another combat deployment. I spent my last five years in a non-deployable training unit and retired in 2022. I would have stayed longer, but my health began to decline from several conditions directly related to my service. It was hard to be told that I couldn’t be a soldier any longer, and I compared my experience to an athlete who had been cut from the team due to injury.

After retirement, I had to find a new identity and new hobbies to fill my time. I didn’t want to just be another vet wearing a service ball cap. I wanted to enjoy my life. I started watching more baseball. I volunteered to assist the marching band at my kid’s high school. I went to more concerts. I finally got around to organizing my baseball card collection. I travelled a little. I also was able to spend time taking care of my health.

Then, 2024 arrives. The outcome was shocking but not completely unexpected. But it felt like a dark cloud hovered over our heads. Instantly, the country started to change. Policy was traded for rhetoric. The people in power delighted at the misery they created. People who knew how to govern forfeited their power and duties in lieu of remaining in the good graces of the administration. I felt just as helpless as I did on 9/11. I wanted to do something, but this time I didn’t know what to do or how to help.

I remember when I began to notice the effects of DOGE and federal cuts … when it became more difficult to schedule medical appointments with the VA clinic. This is now jeopardizing my ability to take care of my health. Again, don’t know what to do or how to help.

But then—the awfulness. Immigration becomes a new literal battleground with armed masked agents picking people off the streets. We must, of course, have law and order in our society, but people are being picked up with no warrant, no due process or are being stopped because of their color or because they speak with an accent or don’t speak English as a first language. Even US citizens who “look” a certain way are detained and forced to prove their innocence. This is absolutely counter to what our values should be in this country.

Then, when citizens begin to observe, record and call the masked men out for their actions, the agents react with force and violence. Citizens are detained, injured, and some are even killed simply for practicing their First Amendment rights. No due process, no acknowledgement of rights, no deescalation of force. Not even basic trigger discipline and absolutely no respect even for a fellow citizen. Even when I was in Iraq, we had Rules of Engagement. You couldn’t shoot at someone just because they cursed you or threw a piece of trash at you. These masked agents were trying to act as judge, jury and executioner.

I also became horrified seeing these masked individuals dressing in combat uniforms similar to what I wore in the military. They were cosplaying as warriors, but showing none of the attributes that defined our service time, including honor. It is offensive to me to see these masked goons displaying this type of behavior while wearing the uniform that so many honorable people wore as a representative of our nation. In my opinion, they didn’t deserve to wear that uniform.

Even locally, in south Orange County, where we are normally pretty immune to unrest, we witness these actions. One morning, my wife and daughter saw a car getting blocked in and masked agents swarming the car and removing the driver. This occurred at the intersection of Aliso Creek Road and the SR-73 on ramp. Of course we didn’t know the full circumstances, but it was something that resembled kidnapping more than law enforcement. My own child witnessed with this her own eyes.

I now doubt my own personal sacrifices I’ve made for this country. I’m almost ashamed of what we represent. No law and order, no process, just ruling by force and delighting in the thought of hurting people. It’s heartbreaking to see this happening. Why did we sacrifice so much just to become a cruel society? Was my service worth it?

I also began to feel like the youth had either become indifferent or live in fear themselves. We would see the local protests every Saturday, but most of the participants are middle aged or older. While the older crowd may be more worldly and experienced, they just didn’t have the same energy. Because we didn’t really see the young people, the protests seemed to lack the enthusiasm and energy. I wanted to see the same energy that young people showed at a college football game, or in the pit at a rock concert.

A few days later, my kid told me she was going to participate in the walkout protest on January 30 with other students at her school. Initially I was a little worried about it because of the violence in Minneapolis. But I figured she is almost the same age I was when I joined the military. I reminded her that if she believed in a cause, stand up and make your voice heard. I also teold her that if she decided to participate, she must be prepared to receive any consequences that would arise from leaving class to participate. I reminded her that there is no such thing as “free speech” and that we all pay for every word. I also told her that there is no halfway point in protesting. You are either are or are not. It can’t just be for “likes” on social media.

She made her decision to participate.

Friday came and I checked in via text with my kid while I was at work. I live/work nearby and could see that hundreds of students had joined. I was able to see the protests around Town Center and some of the students had also begun sharing the videos on social media. They screamed profanities about ICE and shouted their support for immigrants as valued members of the community. The youth energy was there, or at least I finally saw it. The same kind of energy that fuels the fans at Texas A&M football games or at Duke basketball games, or even at a local punk rock show, was there on display as these students made their voices heard. The best part was that this wasn’t for something as trivial as a game, it was real life. Above all, they did this in a peaceful-yet-assertive manner. For most this was their first protest, but I don’t think it will be the last for many of them.

There were, of course, a handful of counter protesters, but they were very small in number compared to the hundreds of people who marched against the cruel tactics that ICE has employed. They seemed to interact in a pretty civil manner which also speaks to their character.

I couldn’t have been prouder of these young people. My heart swelled with pride that this many young people in our community decided to take a stand for what they believed it and displayed the courage to show the world what side they’re on. It made me feel how I used to feel about my service time, especially when I’d wear my service uniform with all my ribbons. I was proud of what I had done.

Of course, what these young people did is not exactly the same as deploying overseas, but they were doing something important and meaningful and something that did require some courage. I’m sure that some of these kids’ parents didn’t approve for various reasons, but I hope the young people who participated that day walked away with a sense of pride. I hope that this is not the last time that these young people will set out to serve their community. I have a feeling that this is just the beginning for these young people.

Many people have a lot of opinions about the youth today. This isn’t new. I remember when my generation, Gen X, was called slackers or the “MTV generation.” But watching how the young people have turned out in large numbers has reminded me of the saying, “The kids are going to be alright.”

Politics Chat, February 13, 2026

Launch it 3 times

I wanted to share one of the bits of advice that I find myself most frequently giving to teams when they’re working on a product, or founders who are creating a new company: launch it three times.

What I mean by that is, it often takes more than one time before your idea actually resonates or sticks with the people you’re trying to reach. Sometimes it takes more than twice! And when I say that you might need to launch again, that can mean a lot of different things. It might just be little tweaks to what you originally put out in the world, It might even be less than that — I’ve worked with teams that put out literally the exact same thing again and found success, because the issue they had the first time was about timing. That’s increasingly an issue as people are distracted by the deeply disturbing social and political events going on in the world, and so sometimes they just need you to put things in front of them again so that they can reassess what you were trying to say.

Many relaunches are a little more ambitious, of course. Being a Prince fan, I am of course very partial to strategies that involve changing your name. Re-launching under a new name can be a key strategic move if you think that you’re not effectively reaching your target audience. As I’d written recently, one of the most important goals in getting a message out is that they have to be able to talk about you without you. But if you want people to tell your story even when you’re not around, the most important prerequisite is that they have to remember your name. With Glitch, that was the third name we actually launched the community under, a fact that I was a little bit embarrassed about at the time. But having a memorable name that resonated ended up being almost as much a factor in our early success as our user experience or the deeper technological innovations.

There are other ways of making changes for a successful re-launch. One thing I often suggest is to subtract things (or just de-emphasize them) and use that reduction in complexity to simplify a story. Or you can try to re-center your narrative on your users or community instead of on your product — the emotion and connection of seeing someone succeed often resonates far more than simply reciting a litany of features or technical capabilities. Any of these small iterations allow you to take another swing at putting something out into the world without having to make a massive change to the core offering.

Often times, people are afraid or embarrassed to make changes to things like branding or design because they’re some of the more visible aspects of a product or service. Instead, they retreat to “safe” areas, like tweaking the pricing or copy on a web page that nobody reads. But the vast majority of the time, the single biggest problem you have is that nobody knows you exist, and nobody gives a damn about what you do. Everything else pales in comparison to that. I’ve seen so many teams trying to figure out how to optimize the engagement of the three users on their app, or the five people who come to their site, while forgetting about the other eight billion people who have no idea they exist.

What about not failing?

This idea of launching again is really important to keep in mind because so much of the narrative in the startup world is about “fail fast” and “90% of startups fail”. When the conventional narrative from VCs prompts you to pivot right away, or an investor is pressuring everyone to grow, grow, grow at all costs, it can be hard to think about slowing down and taking the time to revisit and refine an idea.

But if you’re moving with conviction, and you’ve created something meaningful, and if you’re serving a real community that you have a deep understanding of, then it may be the case that you simply need to try again. If you are not moving with conviction to create something meaningful for a real community, then you don’t need to do it three times, because you don’t even need to do it once.

So many of the creators and innovators that inspire me most often end up working on their best ideas for years or even decades, iterating and revisiting those ideas with an almost-obsessive passion. Most of the time, they’re doing it because of a combination of their own personal mission and the deep belief that what they’re doing is going to help change people’s lives for the better. For those kinds of people, one of the things I want most is to ensure that they don’t give up before their ideas have had a full and fair chance to succeed, even if that means that sometimes you have to try, try again.

Friday 13 February 1662/63

Lay very long with my wife in bed talking with great pleasure, and then rose. This morning Mr. Cole, our timber merchant, sent me five couple of ducks. Our maid Susan is very ill, and so the whole trouble of the house lies upon our maid Mary, who do it very contentedly and mighty well, but I am sorry she is forced to it.

Dined upon one couple of ducks to-day, and after dinner my wife and I by coach to Tom’s, and I to the Temple to discourse with my cozen Roger Pepys about my law business, and so back again, it being a monstrous thaw after the long great frost, so that there is no passing but by coach in the streets, and hardly that.

Took my wife home, and I to my office. Find myself pretty well but fearful of cold, and so to my office, where late upon business; Mr. Bland sitting with me, talking of my Lord Windsor’s being come home from Jamaica, unlooked-for; which makes us think that these young Lords are not fit to do any service abroad, though it is said that he could not have his health there, but hath razed a fort of the King of Spain upon Cuba, which is considerable, or said to be so, for his honour. So home to supper and to bed. This day I bought the second part of Dr. Bates’s Elenchus, which reaches to the fall of Richard, and no further, for which I am sorry. This evening my wife had a great mind to choose Valentines against to-morrow, I Mrs. Clerke, or Pierce, she Mr. Hunt or Captain Ferrers, but I would not because of getting charge both to me for mine and to them for her, which did not please her.

Read the annotations

Collections: Against the State – A Primer on Terrorism, Insurgency and Protest

This week, continuing in the vein of some of our previous strategy and military theory primers, I wanted to off a basic 101-level survey of the strategic theory behind efforts, in a sense, directed against the state itself, both violent approaches (what we might call ‘terroristic insurgency’)1 and non-violent approaches (protest). It may seem strange to treat violent insurgency and non-violent protest together but while they employ very different methods, as we’ll see, they share a similar theoretical framework, attempting to achieve some of the similar effects by different means, both working within the state, against the state (or its policies), focused on the changing minds rather than battlefields.

Naturally this comes in part in response to the significant amounts of protest actions happening right now in the United States, but the framework here is very much intended to be a general one, applicable to both armed insurgencies and non-violent protests worldwide. The world, after all, is really quite big and there are multiple major protest movements and multiple armed insurgencies happening globally at any given time. That said, much as with protracted war, a movement aiming to push against the state is naturally going to be heavily shaped by local conditions, particularly by the nature of the state against which it sets itself as well as the condition and political alignment of its people.

Finally, I want to clarify how I am using terminology here at the outset. I have mostly stuck here to ‘insurgent’ to describe violent actors opposing the state and ‘protestor’ to describe non-violent ones. Obviously in mass movements, violence is not a binary but a spectrum – a single fellow kicking over a trash can does not turn a non-violent march into a riot, but equally having a ‘political wing’ does not turn an organization mounting a terror campaign ‘non-violent.’ However the strategic dichotomy is going to be useful to understanding how these groups in their ideal form tackle problems. Likewise, I am going to describe the violent movements opposing the state as ‘insurgencies’ but I want to note at the outset that I am drawing a distinction here between what I am defining as ‘insurgencies’ which lack the backing of a conventional army or the expectation of soon acquiring one, as opposed to forces in a protracted war framework who have or expect to have the backing of a conventional force, however weak (we might call the latter group guerillas, although this too is imprecise). The line between these two strategies is certainly fuzzy – many insurgencies hope to eventually transition to protracted war and the two approaches share many tactics – but there are worthwhile differences between the two.

In particular, whereas the guerilla’s cause is supported by a conventional army – even if it is in hiding – and anticipates a shift to positional, conventional warfare and thus eventual victory on the battlefield (however distance), the insurgent has no expectation of developing a conventional force capable of meeting his opponent any time soon and is instead wholly focused on the ‘war in the mind,’ often through the use of terror tactics. That said, I mostly avoid ‘terrorist’ here as well, in an effort to avoid the ‘our freedom fighter is their terrorist’ problem of morally loaded language in order to focus on tactics and strategic effects, rather than the rightness or wrongness of the cause. And I should be clear here, what follows – despite being almost 11,000 words long – is very much a schematic overview into which a great amount of detail and nuance could (and probably ought) to be added, still I think the theory foundation here might be useful.

At the end, once we have our theory out, I am going to make a few observations about the current immigration policy anti-ICE protests in the United States generally and in Minneapolis-Saint Paul in particular and how I think they fit in to this framework.

(Bibliography Note: The difficulty in writing this kind of a framework is that much of what is written in terrorism and insurgency is written primarily from the counter-terrorism and counter-insurgency (COIN) perspective. Nevertheless, to the degree these works understand their enemies, they are useful. The standard teaching works for understanding counter-insurgency warfare are typically campaign histories of successful and failed COIN operations, such as J.A. Nagl, Learning to Eat Soup with a Knife: Counterinsurgency Lessons from Malaya and Vietnam (2005); note also older and influential efforts such as B.B. Fall, Street Without Joy: The French Debacle in Indochina (1961), D. Galula, Counterinsurgency Warfare: Theory and Practice (1964) and A. Horne, A Savage War of Peace: Algeria 1954-1962 (1977) . The United States military’s understanding of these lessons is distilled in a field manual, FM 3-24, albeit hardly one without criticisms. For the references here to the Taliban insurgency in Afghanistan (2001-2021), many of my observations are drawn specifically from W. Morgan, The Hardest Place: The American Military Adrift in Afghanistan’s Pech Valley (2021), which I cannot recommend strongly enough. Though it is hardly a perfect book, I also reference here Max Boot, Invisible Armies (2013) specifically for its discussion of the failure rate of insurgencies. In terms of framing these campaign histories, I lean here quite hard on the framework used by W.E. Lee in Waging War (2015) which was the textbook I taught this topic from when I taught a global survey of warfare. On the strategy of non-violence, what I would without question recommend first is T.E. Ricks, Waging a Good War: A Military History of the Civil Rights Movement 1954-1968 (2022). Also note the strategic thinking of non-violent leaders; Martin Luther King Jr.’s Letter from a Birmingham Jail (1963) is a remarkably cogent and clear explication of non-violence as a strategy in both its goals and how it was specifically framed for one such campaign. I am not an expert on Gandhi’s writings – which are voluminous – but I did read through the selections in Gandhi on Non-Violence, ed. T. Merton (1964). I am sure a scholar of his writings could do far better; I feel my insufficiency on this topic keenly. Finally, in terms of theory, this post uses as its theoretical foundation a mix of Carl von Clausewitz, Vom Krieg (1832) – I generally use the Howard and Paret translation, though no translation is perfect – and Hannah Arendt’s On Violence (1970).)

(Header image: from left to right, all via Wikipedia: Taliban fighters in 2021, a car-bombing in Iraq in 2005, a non-violent student sit-in in North Carolina in 1960 and an anti-ICE protest in Minneapolis, January 2026.)

Establishing a Framework

Before we dive in to the differences between insurgencies and protest movements, we have to establish their common framework and before we do that we need to establish some terms and for that we will need to rely quite a bit on Carl von Clausewitz, so get your beer mug, wine glass or drinking horn ready.

The starting point for understanding how both insurgencies and protests work is the Clausewitzian trinity. This is, in and of itself, something of an odd statement because Clausewitz, in writing On War (1832) was not focused on either insurgencies or non-violent protest movements but rather on conventional, large-scale interstate war of the sort that he had known. But the framework he constructed to understand the nature of war is so fundamental that it applies effectively to forms of conflict beyond the kinds of war he knew and indeed beyond the activity of war to some significant degree and so it is very useful here.

Via Wikipedia, Carl von Clausewitz. For those playing the Clausewitz drinking game: prepare to get absolutely hammered.

To very briefly summarize, Clausewitz begins by noting that war, by its nature, tends to escalate infinitely, each side of a conflict applying more and more force against the other until one side ‘runs out.’ Infinite escalate is an inextricable part of war’s core nature in the ideal. The two sides to a conflict thus increasingly commit their strength until one side can escalate no further – it has no more strength to apply – and thus fails, leading the stronger party in a position to impose their will upon the weaker. But of course in the real world this infinite escalation is restrained by real world factors, which Clausewitz breaks into three. It is these three factors that restrain (or in some cases, enhance) the escalating use of force that are the Clausewitzian trinity we so often talk about. They are:

Friction, the expression of randomness and unpredictability in war, encompassing all of the sorts of things that keep a state from having its full military force where it wants them to be, when it wants them to be there, functioning as intended. Bad weather, logistics snarls, unpredictable human with their emotions, unexpected enemy action – these are all forms of friction. The management of friction – management, not elimination, because it cannot be eliminated – is in Clausewitz view the proper occupation of generals, who apply their genius (natural talent) to it. And of course some actions and methods in war are also designed to increase an enemy’s friction – think something like supply disruption.

Next is Will, sometimes also termed Passion (translating Clausewitz is fun), which is to say the dedication of the people (or at least, the militarily or politically relevant people) to a cause. Clausewitz came up during the Napoleonic Wars, an age of mass warfare, so he thinks about this in terms of mass mobilization and for this post we should too. As such, Will resides with the People and is a product of their emotions, with the willingness of the great bulk of the society to submit to the hardships of a conflict in order to carry on the cause. High amounts of Will enables more escalation because a people will sacrifice more to carry on; flagging Will equally enforces limits on escalation.

Finally there is the political object, the actual aim of the conflict, the goal each side has. A state seeking an objective that is small or trivial or optional is going to be unwilling to spend its full strength in the pursuit of that objective. By contrast, a state whose entire existence is threatened will deploy everything it possibly can. In Clausewitz’ view the political object is managed by politicians, who do (or at least ought) to govern state strategy and the willingness of the state to expend resources by calculations of pure reason.

With these three elements in mind, it becomes possible to overcome an enemy (or to be overcome) without matching their maximum possible strength ‘in the ideal.’ A weak state, for instance, might hold off a stronger one simply because the thing being contested is much more important (the political object!) to them and so they apply a greater portion of their strength. Alternately, weak public support might prevent a strong state from mobilizing its full potential force or friction – perhaps a tricky supply situation at great distance with unpredictable conditions – might prevent the full application of that larger state’s force.

These three elements of the trinity are equally variables, which either side might seek to effect: to sap enemy will so as to limit the force they can mobilize or to structure political conditions so that attacking even a weaker neighbor is simply not worth the cost. In this latter point, this is how nuclear deterrence works: it raises the cost of a conventional war well above any possible gains, so that even a stronger state would profit nothing from attacking and so does not attack.

You may now stop chugging your drink (but have some handy, we’re not done with our good friend Clausewitz just yet).

For a weaker party in a conflict, altering these variables is of course essential: if you are the weaker party then by definition you are not in a position to win the ‘ideal’ trial of strength (which to be clear, never exists in the real world; it is only an ideal construct) in any case and so must seek ways to use the elements of the trinity as ‘levers’ to constrain your opponent’s ability to employ their strength, while keeping yours unconstrained.

And at last that is the key to understanding insurgencies and protests movements, because both insurgencies and protest movements take the form they do because from a perspective of pure force, they are the weakest parties compared to the violent power of the state, whichever state they might find themselves pitted against.

Theories of Victory

Fundamentally, what protests, insurgencies and terrorism campaigns have in common is that neither operates with any hope of directly challenging the armed force of the state. You may note this is a significant contrast to the theory of protracted war: while protracted war is a strategy of the weak against the strong, it envisions a future transition to a phase (or even phases) of direct, conventional ‘positional’ warfare, once the strength of the opposing power has been sapped. A force engaged in protracted war expects to win on the battlefield eventually, just not today. By contrast, while armed insurgencies often adopt a protracted war theory and thus a notional stage where they transition to conventional warfare, they often operate much farther from making that a reality.

Now I am to a degree defining this distinction between insurgency and protracted war – many of the parties involve understand themselves to be practicing both – but I think the distinction is important. A contrast may serve. The forces of North Vietnam (and their sympathizers in the South) waged a protracted war against the United States and the U.S. supported South Vietnamese government in which they were clearly in conventional terms the weaker partner, but at all points in that conflict, North Vietnam maintained a conventional military (the People’s Army of Vietnam or PAVN) engaging in a level of conventional warfare. That included major efforts to transition to direct, positional and conventional warfare in 1964 and again in 1968 and again in 1972 (being badly hammered each time). Practitioners of protracted war – we may, for the sake of simplicity here (if at the cost of some accuracy) call them guerillas – often engage in terrorist or insurgent tactics, but their overarching strategic theory assumes an eventual transition to conventional warfare.

By way of contrasting example, the insurgencies the United States faced in Afghanistan (alongside NATO allies) and in Iraq (alongside coalition allies) never seem to have seriously contemplated engaging the United States military in a conventional battle. Not only was the balance of forces extremely unfavorable, these groups had no real plan to make it favorable. This comes into really sharp relief if you think about airpower – without which engaging in a conventional groundfight against a modern military is simply high-tech suicide. North Vietnam, equipped by its allies, operated one of the most sophisticated air defense systems in the region and regularly inflicted air-to-air loses on United States pilots; they shot down thousands of planes. By contrast, the sum total of American fixed-wing aircraft combat losses in the air in Iraq and Afghanistan 2001-2021 consisted of a single A-10A Thunderbolt II.2 Accidents and maintenance issues claimed aircraft far more often than enemy action. At no point, so far as I can tell, did Iraqi or Taliban insurgents make a serious effort to challenge American airpower because unlike the North Vietnamese, it was never required to do so for their theory of victory.

Via Wikipedia (who in turn got the screenshot from Voice of America), a group of Taliban fighters in 2021 in Kabul. You may note the lack of heavy weapons or militarized vehicles: these militants were never going to defeat the United States military in an open battle, nor did they plan to.

Fundamentally insurgencies lack access to substantial amounts of industrial firepower (typically because they have no foreign sponsor willing to hand them modern heavy weaponry; small arms are neat but to wage modern conventional warfare, you need armor, artillery and airpower) and so while they try to achieve their aims through violence, they operate with no hope of directly challenging an opposing force that does have access to industrial firepower. That demands a different approach!

There is thus, I’d argue, a real difference between a weaker force which still aims for and has a practical plan to actually defeat an enemy force – in the above example, to shoot down their planes – as opposed to an insurgency that needs an enemy it cannot defeat to give up or go away.

Of course for a non-violent protest movement, this differential in armed force becomes essentially infinite: such movements bring no armed force at all to the table. And yet non-violence has arguably a better track record than insurgency at achieving its goals. How?

Fundamentally, these groups focus almost entirely on Will. Whereas the force of modern states comes from the ability to harness industrial firepower and is thus a product of economies, the endurance of an insurgency or protest movement derives almost purely from their ability to secure new recruits faster than they are exhausted, which in turn is a product of popular support and internal morale – which is, of course, just that Clausewitzian Will in action. So long as that will remains strong, these groups will aquire new recruits faster than the state can arrest or kill them and so they will grow. And since the weapons (or ‘weapons’ in the case of protest groups) the group is using do not demand an independent industrial base – they’re available commercially for prices individuals or small groups can afford, legally or otherwise – there is no industrial base, no core territory full of factories or warehouses to attack. So long as will remains, the group remains and can continue to advance their agenda.

Which would not add up to very much if insurgent or protest groups had no hope of actually achieving their aims – indeed, it would be very hard to sustain their own Will if that were the case – but of course these groups often succeed. The answer relies on understanding the Clausewitzian trinity as a tool (drink!): if the insurgency or protest movement cannot escalate to match the force of the state, it must use the levers the trinity provides to de-escalate the force of the state. In part this is done through the political object – by raising the cost of denying the insurgency or protest group’s demands until it the rational calculus is simply to give them what they want. That in turn is generally accomplished through degrading popular will, until the costs to the opposing state – in public support, in votes, in public compliance – either lead to capitulation to some or all of the demands or to regime collapse.

Both protests and insurgencies function this way, where the true battlefield is the will of the participants, rather than contesting control over physical space. That’s a tricky thing, however, for humans to wrap our heads around. We have, after all, spent many thousands of years – arguably the whole of our history and pre-history, largely fighting battles over territory. Our emotions are tuned for those kinds of fights and so our instinct is to revert to that style of fighting. One can see this very clearly in young or undisciplined protestors who imagine they will ‘win’ the protest by forcing back a police line, essentially ‘battling’ the cops. But protest groups do not ‘win’ by beating the police into submission and indeed even armed insurgencies generally do not win by victories in open fights.

In both cases, these movements win by preserving (or fostering) their own will to fight, while degrading the enemy’s will to fight.

Of course they use very different tactics to achieve that same goal.

The Tactics of Insurgency

Of course to begin with, as a product of the definitions we’re working with here, insurgents and terrorists use violent means to achieve their ends. But whereas one conventional army engages another with the intent of destroying it, we might say that the insurgent or terrorist instead engages in violence with the intent to communicate a message.

That is going to seem like a very odd statement, so let me explain.

The strategic effect the insurgent aims to achieve is not located in his target. Remember, we’re talking about violent movements that have no real hope in the foreseeable future of actually destroying the armed forces of their enemy, so while they may spend a lot of time blowing things up, they cannot win purely by blowing things up. Instead, they seek to persuade key audiences by violence as an alternative to the destruction of the enemy (of which they are incapable). So they stage attacks, destroying targets, to communicate their message to persuade those audiences. The precise framing of the messages may vary, but (and here I am following Lee, op. cit.), there is a standard set of audiences and messages the group wants to convey:

  • To its own members, the insurgency needs to communicate that the group is active and making progress in order to sustain its own will. Inflicting casualties – often in spectacular, filmed and documented fashion – on real or perceived enemies can accomplish this, hardening the group member’s resolve to continue (and to sustain casualties).
  • To potential members, the insurgency needs to communicate this same effectiveness, because it will take substantially losses, often much higher losses than the enemy. As a result, it needs a steady stream of young, angry and motivated recruits. The very inexhaustible nature of its recruitment is a key element of messaging to enemies (see below).
  • To potential supporters of the enemy (which might be locals collaborating with an occupation government or civilians acting in support of a regime) the insurgency needs to communicate that it can inflict violence on enemy supporters and also that it will inevitably win. Essentially the message being communicated is, “if you support our enemies, we will eventually win and then kill you and your family.” The aim is to terrify opponents into passive acceptance of the insurgency, rather than active opposition.
  • To the enemy itself, the insurgency aims to communicate its continued existence and ability to extract continued costs. The message is, in effect, ‘give up, we’re not going away.’ That message can be directed at leaders, but equally at rank and file members of the opposition, encouraging them to ‘melt away’ rather than endure year after year after year of fear and hardship combating the insurgency.

There is, it must be noted, a distinction here between two kinds of terror or insurgency aims: those that target primarily their own (independent) state and those attempting to expel the forces of another state (some kind of occupation or imperial government). In the former case, where the enemy leadership has nowhere else to go, the sense of inevitability the insurgency has to build is considerable in order to get supporters of the regime to abandon it completely, whereas by contrast encouraging an occupying force to leave is far easier: only the high cost and intractability of the insurgency – its inability to be destroyed rather than the inevitability of its success – may be required to make a foreign power decide that occupation is simply no longer worth it. Unsurprisingly, then, insurgency campaigns have significantly higher success rates against foreign occupying forces or foreign-supported occupation governments (and indeed, as Max Boot, op. cit. notes, the success rates for insurgencies generally and against independent indigenous governments specifically is abysmal; insurgents usually lose).

It may be easier to understand these strategic aims in the context of the concrete actions insurgents take to further them. The Taliban insurgency in Afghanistan from 2002 to 2021 can serve as a ‘model’ for how many of these functions work. By 2002, there was little question of the Taliban directly opposing the military forces of the United States and its coalition partners: they had been roundly and comprehensively defeated, pushed into small cells or mountain hideouts, with no conventional military force to speak of.

The most visible actions by the insurgency are what we might term ‘spectacular attacks’ – spectacular in every sense of the word because these are spectacles intended for spectators. This is the propaganda of the deed, the defining feature of terrorism, where through an act of spectacular violence, often (but not always) against civilians, a group aims to garner attention and support for its core message. In the context of the Taliban insurgency in Afghanistan, the 2009 car bombing of the NATO HQ in Afghanistan serves as an example, as did the release of video of the captured Bowe Bergdahl the same year (of course the 9/11 attacks that started the conflict are also an example), alongside many others. Sometimes these attacks are focused on military targets, but as frequently not – what we are focused on here is that the attack’s primary role is messaging rather than direct military utility. What we need to understand about these attacks is that they are not expected to bring about military victory directly: they do not seriously endanger the military force of the insurgent’s opponent. Instead, they are exercises in messaging, which is why their spectacular nature is important, indeed central: they are intended to get news coverage, to be discussed and talked about and thus create a platform for the insurgent to spread his message: to supporters that the insurgency still exists and is ‘making progress’ and inflicting pain on the enemy (and thus worthy of support) and to the opposing force that the insurgency still exists and is capable of inflicting costs (and thus, perhaps you should just go away and give them what they want).

But while foreign media coverage often focuses on these larger spectacular attacks – they are designed to attract such coverage – insurgents are often doing a lot more less well-covered things. Core to the Taliban’s success was not attacks on United States forces but assassinations and a campaign of terror among Afghans who might support or collaborate with United States forces. The messaging in this case was very deliberate: that at some point the Americans would leave and the Taliban would remain at which point those who continued to work with the United States or the Afghan government it had supported would be killed (frequently along with their families). Note that while this message ended up becoming a self-fulfilling prophecy in Afghanistan, that is not always true: Iraqi insurgents did the same kind of messaging, but AQI/ISIS has been very greatly reduced, while the government set up by the United States and its coalition partners in Iraq remains. Insurgents do not always succeed in their aims.

The campaign of terror, targeting local leaders and officials, police officers, and the US-friendly Afghanistan National Army, was always far more extensive in Afghanistan than direct Taliban actions against the direct American presence. Including civilian contractors, US and coalition deaths in Afghanistan numbered 7,423, but Afghan security forces suffered more than 65,000 KIA; estimates for Afghan civilian deaths at the hands of the Taliban are fuzzy at best but well into the tens of thousands. While Taliban insurgents certainly engaged in propaganda and leveraged sympathetic local leaders and networks to build their base of support among the populace, the ‘hard edge’ of this strategy was a clear willingness to ‘make a demonstration’ of local non-sympathizer Afghans through (locally) spectacular assassinations. Once again the goal was not to kill every person who supported the U.S. backed government but to, by very visibly assassinating a few, frighten the remainder into withdrawing their support, which steadily rotted away the foundations of the Afghanistan security forces.

There is also an element of friction in this kind of insurgency: after all, the insurgent is opposed. Generally in a counter-insurgency context, the powerful conventional military is attempting to set up governance, to convert its superiority of armed force into power (in Hannah Arendt’s sense), that is the more-or-less voluntary cooperation of the local populace. Those forces are trying to set up local police forces, courts, governments, services, schools, roads and so on in order to enable a civilian administration which can organize and govern the populace.3 Even if the insurgency is not ideologically opposed to some of these administrative structures (and they often are; the Taliban was very opposed to efforts to educate women, for instance), they want to prevent or slow their emergence because effective local governing structures drain away the disorganized or supportive human terrain the insurgency needs to function. Countries with well-organized, locally supported police forces are extremely difficult terrain for any insurgency to operate in. And at the same time, once they realize they are in a counter-insurgency framework, the conventional force is likely to begin attempting to hunt insurgents, which is also something the insurgent wants to avoid.

Consequently, insurgents also engage in small-scale attacks on local security forces, with a twin purpose. On the one hand, inflicting casualties, especially on a occupying force, can serve to erode the will of the distant public (informed about these losses by their media) to continue the struggle. Such attacks thus serve as messaging to that public. They they also serve to raise friction (in the Clausewitzian sense, keep drinking) making it harder for the conventional force to leverage its superiority in firepower and materiel. The near perpetual threat of Taliban ambush in large parts of Afghanistan outside of the major cities substantially limited the mobility of coalition forces, limited their ability to patrol and provide security, to supply distant bases, or to set up and maintain services, thus slowing down and eventually reversing progress at setting up a functioning civilian administration in the countryside, which was the one thing that might have actually successfully rooted out the Taliban in the long-term (by eventually transforming a war of insurgency into simply a question of crime, controlled by police and local officials robustly supported by the local populace).

However the theory of victory is not based on friction: the insurgent can delay the conventional force, but it cannot by force stop them completely. Instead, the theory of victory is focused on will and to a lesser extent the political object. An insurgency could plausibly succeed by simply raising the cost of an operation (like an occupation) higher than anticipated gains, causing a rational political leadership to pull the plug. In practice, political leadership rarely wants to admit failure so easily and states will pursue failing strategies for a long time simply to avoid the perception of defeat. Consequently the more common mechanism for successful insurgencies is that the erosion of will, of public support, compels political authorities to accede to some or all of the demands of the insurgents. The ‘center of gravity’ – the locus of the most important strategic objective – for most insurgencies thus often becomes the political support that sustains a government, be that a body of key supporters in non-democratic regimes or the voters in democratic ones. That body of key voters or supporters, of course, is often not even located in the theater of operations at all: the Taliban ultimately won their insurgency in Afghanistan because they persuaded American voters that the war was no longer worth the cost, leading to the election of leaders promising to pull the plug on the war.

This is a remarkably slow process, eroding public will: indeed, the very apparent inexhaustibility of an insurgent force is part of its messaging, that no matter how many fighters the conventional army kills, there are always more replacements and so the violence – the costs – never stop. Meanwhile hunting down insurgent groups catches a conventional force on the ‘horns of a dilemma’. Modern conventional armies are built for tremendous destructive firepower, but the insurgents often hide among supportive (or terrorized) populations. If the conventional force does nothing, the insurgency will grow without check, but if the conventional force tries to engage the insurgents, they run the risk of producing a lot of collateral damage. For insurgent forces – who are often ideologically unconcerned with civilian casualties – this can be turned to their advantage, using the small strikes they are capable of to bait the Big Conventional Army into attempting to leverage its massive firepower, with the collateral damage that results essentially producing a ‘spectacular attack’ for the insurgents when the local civilian population is caught in the blast radius. It is striking, reading something like The Hardest Place how some of the most damaging attacks for American forces in the Pech Valley were not Taliban attacks, but American attacks attempting to hit the Taliban that, through carelessness, excessive force or simply the fog of war, caused civilian casualties that poisoned any goodwill from the local populace.

This isn’t the place to discuss counter-insurgency warfare in depth here, but this problem is why the consensus is that COIN is best done with lots of infantry providing local security and relatively little in the way of airpower (though air mobility is useful) or heavy firepower. Of course, long, infantry-heavy deployments of large numbers of soldiers are both unpopular on their own and also produce higher rates of casualties among the Big Conventional Army. That in turn can sap public will to continue – especially in the case of wars against distant, foreign insurgencies – and thus make things unpopular for politicians, which is, in part, why governments keep trying to go back to counter-insurgency-by-guided-bomb, a strategy which quite evidently does not work well in the absence of ground forces.

However anyone using terror tactics – that is, the targeting of the defenseless for the purpose of the ‘propaganda of the deed’ – of all kinds and thus terroristic-insurgents are caught on the horns of their own dilemma. Remember: the attacks they are engaged in are not sufficient in themselves to produce victory or even meaningfully advance towards it. As a raw matter of manpower and resources, the United States could have sustained the fiscal and human cost of the Afghanistan War forever. Instead, the terroristic-insurgent’s attacks only work when they impact Will (keep drinking), which means they only work when they gain a wider audience, when they gain attention. In some cases that attention is local but in many cases a broad audience of supporters (potential recruits) and opponents is intended.

To get an audience, such attacks must get coverage, they have to draw attention. And what draws attention to these attacks is their spectacular nature: that they are particularly violent, particularly gruesome, that they strike a population (civilians, women, children) normally considered exempt from violence or occur in places (cities, religious or cultural sites) understood to be outside of the war zone. But of course the more spectacular the violence the greater the possibility of a ‘backfire’ of sorts, where the very violence and barbarity that the insurgent is driving in order to get that attention to attract those recruits, to demoralize their enemies, instead convinces their opponents that the insurgency is a dire threat which must be defeated at all costs.

Many insurgencies end up gored on the horns of this dilemma, some multiple times. Indeed, this is what happened to AQI (Al Qaeda in Iraq), twice. In 2005, AQI violence alienated key tribal leaders in Iraq’s Al Anbar governate, leading to the ‘Anbar Awakening’ where some of those key leaders forged alliances with local coalition forces: shorn of local support and thus the ‘cover’ the population provided and opposed both by coalition forces and local militias, AQI lost footholds in key cities like Ramadi and Fallujah. AQI would go on to rebrand as the Islamic State (Daesch/IS/ISIL/ISIS), rebuilding itself in the context of the Syrian Civil War and then exploding outward in 2013 and 2014. The Islamic State likewise followed a policy of spectacular violence, which garnered it a lot of attention and a lot of recruits, but also produced both a domestic backlash in Iraq and Syria and a foreign backlash, leading to the emergence of a broad anti-IS coalition that by 2016 had destroyed the core of the organization, although various international ‘franchises’ continue to exist. Similarly, of course, the 9/11 attacks on the one hand brought the perpetrators, Al Qaeda (the original) tremendous attention – and an extended anti-terror campaign that has left nearly all of their senior leadership dead and much of the organization shattered. The Taliban may have survived the wrath of the United States, but relatively little of Al Qaeda did.4

And this dilemma actually leads us neatly into the mirror-image of a terrorist insurgency: non-violent movements.

The Tactics of Non-Violence

Non-violence is a strategy.

I think that is important to outline here at the beginning, because there is a tendency in the broader culture to read non-violence purely as a moral position, as an unwillingness to engage in violence. And to be fair, proponents of non-violence often stress its moral superiority – in statements and publications which are themselves strategic – and frequently broader social conversations which would prefer not to engage with the strategic nature of protest, preferring instead impotent secular saints, often latch on to those statements. But the adoption of non-violent approaches is a strategic choice made because non-violence offers, in the correct circumstances substantial advantages as a strategy (as well as being, when it is possible, a morally superior approach).

If we boil down the previous section on insurgencies, what we see is that the insurgent wages his ‘attack on will’ through a prolonged campaign of (violent) disruption, often relying on his opponent (the state) to supply the morally uncomplicated spectacular violence by overreacting to his (violent) disruption. I stress disruption here because again, the terroristic insurgent does not expect to car-bomb his way to victory (because he has nowhere near enough car bombs or he’d be waging a different kind of struggle), he expects to car-bomb his way to popular support or at least to the withdrawal of popular support from his opponent. One key way to accelerate that process is to use the car-bombs to bait the authorities into a damaging overreaction. But equally, the peril the terroristic insurgent runs is that his car-bombs will alienate his own support (car-bombs are not popular) faster than it erodes the will of his enemy.

Now to my knowledge no advocate of non-violence has ever expressed their approach this way, but for the sake of understanding it, we could put it like this: under the right conditions, a non-violent strategy resolves the dilemma by retaining the ‘attack on will’ strategy and simply dispensing with the potentially supporter-alienating violence (the car bombs), by in turn exploiting the overreaction of the state.

To simplify greatly, the strategy of non-violence aims first to cause disruption (non-violently) in order both to draw attention but also in order to bait state overreaction. The state’s overreaction then becomes the ‘spectacular attack’ which broadcasts the movement’s message, while the group’s willingness to endure that overreaction without violence not only avoids alienating supporters, it heightens the contrast between the unjust state and the just movement. That reaction maintains support for the movement, but at the same time disruption does not stop: the movements growing popularity enable new recruits to replace those arrested (just as with insurgent recruitment) rendering the state incapable of restoring order. The state’s supporters may grow to sympathize with the movement, but at the very least they grow impatient with the disruption, which as you will recall refuses to stop. As support for state repression of the movement declines (because repression is not stopping the disruption) and the movement itself proves impossible to extinguish (because repression is recruiting for it), the only viable solution becomes giving the movement its demands.

It is the same essential framework – create a disruption to draw attention and fatigue the opponent, use the attention to draw recruits to replace losses to sustain the disruption indefinitely until opposing will fails – as the insurgent, but delivered without violence.

We can see this basic framework in action in each of the Civil Rights Movements’ campaigns, applied both to each campaign individually and also to the whole movement. Let’s take the Nashville Campaign of 1960 as an example.5 The aim, formulated by James Lawson and drawing on Gandhi’s philosophy of non-violence, was to draw national attention to the evils of segregation (the big picture strategic aim) and begin desegregation in Nashville (the campaign’s specific aim). The campaign was preceded by a significant period of training beginning in 1958 because far from being a weak or cowardly strategy, non-violence demands remarkable discipline. In late 1959, Lawson sent out what were effectively scouting parties to determine the reaction they would get from disruptions at specific locations.

Via Wikipedia, a photograph of white onlookers attacking protestor Paul Laprad during the Nashville sit-ins in 1960.

The planned disruption was a series of sit-ins at lunch counters in downtown Nashville, which were at the time segregated. This would create real disruption and it had to: if there’s no disruption, then no attention is gained and the state does not respond. But the sit-ins would both demonstrate the unfairness of segregation in these stores, while at the same time the backlash against the sit-ins – hecklers, arrests – disrupted the stores’ business, in turn motivating more state reaction. The sit-ins began on February 13th, 1960, drawing angry crowds of pro-segregationist whites and disrupting business but also drawing attention and thus new recruits to the effort. As the effort thus expanded rather than contracted, by February 26th, the local state authorities (chief of police Douglas Hosse) warned there would be arrests and indeed the next day police first withdrew their protection of the protestors (encouraging white mobs to attack them) and then arrested only the protestors in the one-sided altercations that ensued. But of course spectacular, one-sided violence merely confirmed the moral rightness of the protestors, merely demonstrated the injustice of the system and thereby rallied new recruits to their cause.

So as the police arrested one batch of protestors, another group took their place. And another. And another. The police arrested some eighty students that day and then stopped because they hadn’t the capacity to arrest any more. Over the following days, arrests mounted (more than 150 before the end) but of course that just drew more attention, which drew more recruits and the police found themselves in the same trap as counter-insurgents: applying force was creating protestors faster than removing them and Nashville had real, sharp limits on how many protestors they could arrest. Which mattered because it meant the disruption did not stop, which meant that pressure – on local politicians and the business community whose businesses were disrupted – did not stop.

In the event, the Nashville sit-ins had a dramatic climax: the home of Z. Alexander Looby was bombed (dynamite thrown through a window) presumably in retaliation for his support. No one was killed, but this act of terroristic violence against the protest serves as a paradigmatic example of the above dilemma: intended to frighten them, it galvanized support for the protest, creating political conditions in which city leaders (notably Mayor Ben West, confronted by Diane Nash and C.T. Vivian) had to back down. That in turn led to the business owners – directly pressured by the campaign and now abundantly aware that state repression was not going to make the disruption stop – to negotiate with protest leaders, leading (albeit not instantly) to Nashville desegregating its lunch counters.

What I want to note here is that these actions were not disconnected or unthinking but carefully planned and selected. In particular the target of the action is intended to itself demonstrate the injustice (which thereby aids in gaining support) and to provoke overreaction. In this way a non-violent movement does not just receive violence, but it disrupts and provokes, it makes people uncomfortable as a way of drawing attention and baiting overreaction. Perhaps the most famous example of this principle anywhere in the world was Mahatma Gandhi’s strategy of non-cooperation, in which protestors simply refused to buy British goods, work in British industries or in jobs in the British governing institutions. Gandhi also protested the British salt monopoly in India by illegally making his own salt (very much in public, as part of a large demonstration), to which the British responded with more repression. The disruption forced a response (British authorities arrested tens of thousands of Indians): after all if the British authorities did nothing in response to these kinds of actions, British revenues in India would collapse and they would be unable to govern the country anyway. But of course violent British crackdowns further delegitimized British colonial rule.

Moreover, it must be noted that these protect actions, while non-violent were disruptive. They were designed to disrupt something, because if they didn’t disrupt anything, they could be ignored. It is important here to separate two kinds of ‘protest the right way’ arguments here: practitioners of non-violence pointing out that violent actors claiming to act for the movement harm it and people outside the movement demanding that the movement not be disruptive at all. In the very case it is very obviously true that for a movement pursuing a non-violent strategy like this, violent actors are actively detrimental because – again – this is all an exercise in messaging and they harm the message. Crucially, while violent actors may feel like they are accomplishing more by fighting the authorities violently, remember that the entire reason movements adopt these strategies is they they cannot expect to win by fighting the authorities directly, consequently violent actions accomplish nothing (you will not win a street battle with the cops)6 but they do harm the message. But at the same time some disruption is necessary to attract attention and a response by the state.

Martin Luther King Jr. is, in fact, incredibly clear-sighted about this in his famous 1963 Letter from Birmingham Jail. While he openly notes that he initially tried negotiation and that his direct action is also primarily a means to return to negotiation, he declares openly that members of the movement must be “nonviolent gadflies to create the kind of tension in a society that will help men rise from the dark depths of prejudice and racism” and that “the purpose of direct action is to create a situation so crisis-packed that it will inevitably open the door to negotiation.” He also notes that he timed his action specifically to produce the desired pressure on businesses by timing it for the holiday shopping season (disrupting business), delayed only slightly in order to avoid negatively impacting the results of a local election. Disruption was the point, because disruption draws the necessary attention to the message and invites the state to act in repression which draws more attention, empowering the message and thus delivering the ‘attack on will’ at maximum volume and moral clarity.

Like any strategic approach, this approach works best in specific conditions. In particular it works most effectively in challenging a regime, law or practice maintained by violence, because that very violence plays into the kind of ‘throwing technique’ whereby the non-violent activist uses the state’s own violence against it. Such movements can thus, by disobeying the unjust law, take the violence that necessarily maintains it – violence that is normally concealed behind acquiescence to the law – and abruptly surface it. Notably in the above examples, protestors are not doing something unrelated to their cause to draw attention but rather in refusing to support the day-to-day function of colonial rule or by sitting at a specific lunch counter these actions surface the specific violence maintaining that specific law. It follows that laws, practices or regimes whose connection to violence is more indirect are much harder to challenge with these strategies.7 Because – and this is important to continue stressing – these methods are about messaging because the ‘target’ is will, so the clarity of the message matters quite a lot.

On the other hand, non-violent approaches can succeed where violent approaches might not have succeeded. It is debatable if Britain in the early 1900s could have handled an effort at armed insurrection in the British Raj – they had successfully quelled a major uprising in 1857 (and smaller efforts in 1909 and 1915 had also failed), of course, but the failure of other imperial powers to resist independence movements in the 1950s and 1960s might suggest they would not have repeated this success. But evidently considerable British preparation to put down an armed uprising didn’t much matter because the Quit India Movement and its predecessors didn’t give them an armed uprising, it increasingly gave them a non-violent movement they were utterly unprepared to effectively counter.

Likewise, it is important to remember that the system of Jim Crow segregation in the American South was sustained by terroristic violence against African-American communities and, backed up by local and state police, extremely well-prepared to meet violence with greater quantities of violence. Horrific events like the Wilmington Massacre (1898) and the Tulsa Race Massacre (1921) were vivid demonstrations of the ability of the white supremacist Jim Crow regime to muster superior quantities of violence (and a greater willingness to murder innocent people) if the question came to a violent confrontation. But one of the things that comes out extremely clearly in reading something like T.E. Ricks’ Waging a Good War is that white supremacist leaders – perhaps none more clearly than Birmingham Commissioner of Public Safety Bull Connor – were wholly unprepared to fight a non-violent movement and instead by reacting with spectacular and horrifying brutality repeatedly played into the movement’s hands. By contrast it is striking, reading Ricks’ book, that the Civil Rights Movements tactics’ were most notably stymied in Albany, GA, where the local police chief, Laurie Pritchett realized that he could defeat their approach by having his officers act gently when arresting activists, by having enough jail space prepared for larger numbers and by charging them with things like disturbing the peace rather than with segregation laws, to avoid drawing attention to the injustice of the system.

Via Wikipedia, Bill Hudson’s famous photograph of police attacking Civil Rights marchers in Birmingham with dogs in 1963. Images like this served to demonstrate to much of the country the inherent violence and injustice of segregation.

(It is, of course, not an accident that COIN – counter-insurgency – strategy often follows similar injunctions towards avoiding provocation and what we might frame as gentleness. Fortunately for the protestor against injustice, the sort of people who tend to come to run systems of discrimination predicated on violence tend to be emotionally and constitutionally incapable of following that sort of advice – instead resorting by habit (often expressed in very gendered terms) to violence. The armies of Jim Crow had many a Bull Connor and very few Laurie Pritchetts, not by accident but as a direct result of the kind of system Jim Crow was. Also let me be clear: being tactically smart does not make Laurie Pritchett good; he was still defending a system of segregation, which was bad. Sometimes the bad guys have capable leaders, but they are still bad guys.)

All that said, there are very obviously regimes in the world that have rendered themselves more-or-less immune to non-violent protest. This isn’t really the place to talk about the broader concept of ‘coup proofing’ and how authoritarian regimes secure internal security, repression and legitimacy in detail. But a certain kind of regime operates effectively as a society-within-a-society, with an armed subset of the population as insiders who receive benefits in status and wealth from the regime in return for their willingness to do violence to maintain it. Such regimes are generally all too willing to gun down thousands or tens of thousands of protestors to maintain power. The late Assad regime in Syria stands as a clear example of this, as evidently does the current regime in Iran.8 Such regimes are not immune to an ‘attack on will,’ but they have substantially insulated themselves from it and resistance to these regimes, if it continues, often metastasizes into insurgency or protracted war (as with the above example of Syria) because the pressure has nowhere else to go.

The reason regimes such as this aren’t more common is that they tend to function quite poorly: force is expensive and having to maintain large amounts of inward directed force continuously because the regime lacks a strong basis of legitimacy inhibits the effective function of everything else. Indeed, I would argue such ‘prison regimes’ mostly exist today because the negative returns to warfare mean that, unlike in previous eras, it simply isn’t worth the otherwise extremely doable task of better-functioning countries to conquer them. Consequently many authoritarian regimes attempt to ‘split the difference’ by ‘de-politicizing’ much of their population and repressing the small remainder. However building the apparatus and cultural assumptions to support that kind of regime takes a long time and a lot of resources – it generally has to be done well in advance, often as a decades-long project of regime security and coup-proofing. If it was easy to do, there wouldn’t be a half-dozen successful ‘color revolutions‘ in the last thirty or so years.

Conclusions

I haven’t stressed this yet, so let me do so now: obviously the ability of both terroristic insurgencies and non-violent protest movements to succeed is substantially based on the available media technology. It is not an accident that these techniques become increasingly prevalent in the 1900s with the emergence of mass-literary and mass media. Because these approaches are fundamentally about messaging, message technology matters a lot. Of course that technology has only become more rapid and more powerful since the mid-1900s, which further enhances the effectiveness of movements that can harness such technology.

To pull this all together, both violent insurgencies and non-violent protests have the same overall ‘theory of action’ – unable to defeat the armed forces of the state, they aim to instead defeat the state by striking at its popular base of support (at ‘will’ in the Clausewitzian sense). Consequently, because the ‘real battlefield’ is not the battlefield at all, but the minds of the various publics supporting the state, these campaigns – armed or unarmed – are essentially messaging campaigns, engaged in persuasion to convince the relevant public that it is more just or at least easier and less painful to give up the struggle and give the group some or all of its demands.

While such movements often fail, the fact that they can succeed at all is remarkable because these are efforts predicated on the fact of being so immensely weaker than the state they challenge that they have no realistic hope of ever meeting it force-for-force directly.

At the same time it is important to note that while the overall framework of these two approaches is the same their tactics are totally different and indeed fundamentally incompatible in most cases. Someone doing violence in the context of a non-violent movement is actively harming their cause because they are reducing the clear contrast and uncomplicated message the movement is trying to send. Likewise, it is relatively easy to dismiss non-violent supporters of violent movements so long as their core movement remains violent, simply by pointing to the violence of the core movement. It is thus very important for individuals to understand what kind of movement they are in and not ‘cosplay’ the other kind.

That difference ripples into smaller decisions. Insurgent movements generally seek to hide their membership from the state, because they wish to avoid the armed force of the state – they want the state to try to strike them, miss and hit civilians in order to create spectacular moments they can exploit. By contrast, non-violent movements do not seek to hide their membership from the state, because they seek to use state repression as a means to grow too large to arrest. Gandhi is quoted by (ed. Merton, op. cit.) as noting, “I do not appreciate any underground activity. Millions cannot go underground. Millions need not.” Civil Rights protestors repeatedly went to jail, touting their willingness to bear their arrest under their own names, openly, as a badge of honor. Non-violent movements instead invite documentation both of their numbers (they want to seem big) and of the state’s actions against them. Because whereas the insurgent hopes state violence will fall on non-movement-members, a non-violent protest is intentionally inviting state violence to fall on them because doing so dramatizes and exemplifies the injustice of that violence.

A View From America

With all of that laid out, let me draw some conclusions for the current tense political situation in the United States.

First, I think it is fairly clear that the ‘anti-ICE’ or ‘Abolish ICE’ movement – the name being a catchy simplification for a wide range of protests against immigration enforcement – is primarily a non-violent protest movement. Despite some hyperventilating about ‘insurgency tactics,’ anti-ICE protestors are pretty clearly engaged in civil disobedience (when they aren’t engaged in lawful protest), not insurgency. To be blunt: you know because no one has yet car-bombed an ICE or CBP squad or opened fire from an elevated window on an DHS patrol.9 As I hope we’ve already demonstrated, mere organization is not an indicator of an insurgent movement: non-violent movements have to be organized (even if just locally so), often more organized and better trained than violent ones. Effective non-violence, after all, comes less naturally to humans, for whom violence has been normal for at least tens of thousands if not hundreds of thousands of years.

But the tactics of anti-ICE protestors, most visible in Minneapolis-Saint Paul, follow the outline for non-violent protest here quite well. While protestors do attempt to impose a significant degree of friction on DHS immigration enforcement by (legally!) following and documenting DHS actions, that has also served as the predicate for the classic formula for non-violent action: it baits the agents of the state (ICE and CBP) into open acts of violence on camera which in turn reveal the violent nature of immigration enforcement. In this, DHS leaders like Gregory Bovino have essentially played the role of Bull Connor, repeatedly playing into the hands of protestors by urging – or at least failing to restrain – the spectacular, cinematic violence of their agents. Just as the armies of Jim Crow had many Bull Connors and few Laurie Pritchetts, it turns out that Border Patrol and ICE appear to have many Bull Connors; it remains to be seen if they have even one Laurie Pritchett.

Via Wikipedia a photo (2026) of postors in Minneapolis, protesting the deaths of Renee Good and Alex Pretti, both shot by ICE and CBP agents while protesting the administration’s immigration policy. As with the earlier Civil Rights Movement, spectacular public acts of violence by the state serve to delegitmize it, broadcasting the protestors’ point about the state’s unjust use of violence.

The result has been a remarkable collapse in public approval for immigration enforcement, mirrored by some pretty clear implications for elections later this year of the trend continues. Indeed, while doubtless many in the movement are impatient at what they perceive as the slow pace of movement given that they are trying to stop deportations happening right now, as non-violent movements go, the public perception shift has been remarkably fast. ‘Abolish ICE’ went from being a fringe position to a plurality position – close to a majority position – in roughly a year. Civil Rights and Quit India took decades. In part I suspect this has to do with both the prevalence of mass media technologies in the United States – a society in which nearly everyone has a pocket internet device that can immediately send or receive text, audio or most importantly video – and the increasing capability of those platforms. Where the public may have experienced the Birmingham protests through a TV screen at a delay on the nightly news, today high-detail color footage of DHS uses of force are beamed directly into people’s phones within hours or minutes of the event taking place.

Via Wikipedia, a photograph of anti-ICE protests in Minneapolis.

By contrast, the administration is fundamentally caught on the horns of a dilemma. Their most enthusiastic supporters very much want to see high spectacle immigration enforcement, both as an end unto itself and also as a sign of the administration’s continued commitment to it. In this, they act much like the white supremacist publics that sat behind men like Bull Connor demanding repression. But while the administration clearly remains unwilling to actually change its immigration policies, it desperately needs them out of the news to avoid catastrophic midterm wipeout. But ‘go quiet’ on immigration and lose core supporters; go ‘loud’ on immigration and produce more viral videos that enrage the a larger slice of the country. A clever tactician might be able to thread that needle, but at this point it seems difficult to accuse Kristi Noem of being a clever tactician.

Finally, we might briefly touch on the question of ‘coup proofing’ and if the administration is capable of insulating itself from public backlash. And the answer appears to fairly clearly be some version of ‘no.’ The United States electoral system is a tough nut to crack: almost anything strong enough to alter the results would be so obvious that you might as well just try and stage a coup. Meanwhile, as noted above, establishing the kind of regime that can rule by violence and the fear of violence in the United States is hardly unprecedented – that’s what the Jim Crow South was – but it is not a system which can be willed into existence overnight. Establishing the Jim Crow regime in the American South required more than a decade of terror and repression. Similar regimes overseas likewise took many years to construct and require a very large ‘in group’ willing to use violence – often on the order of a quarter to a half of a percent of the population. Indications that DHS is already struggling to recruit despite very obviously being far short of the number of agents required to effectively maintain an authoritarian state speak to the difficulty of creating such a large ‘insider’ force.10

In short then, it seems like the current administration’s immigration policy is facing a non-violent movement and is both vulnerable to that movement and actively playing into its hands, repeating the tactical and strategic mistakes the defenders of Jim Crow made in the 1950s and 1960s. From this framework, the non-violent anti-ICE movement appears to both be succeeding right now and stand a good chance of succeeding eventually, assuming it retains a strategic focus. If the administration could restrain its open embrace of anti-immigrant violence, it might be able to slow that process down, but it is unclear that the administration is actually capable of doing so, since anti-immigrant violence was essentially one of its core campaign promises.

But this dilemma is, of course, the core of why anti-ICE protest tactics work: because the system itself is unjust and its basic function (armed federal agents abducting people from the interior of the United States) unpopular, protestors following a non-violent framework – often all they are doing is just filming what ICE and CBP does – can present the administration with an impossible choice: defang the protests by no longer enforcing the policy by violence (essentially conceding their demands) or continue to engage in open violence against non-violent protestors and lose the battle for the minds of the public. So long as the policy remains to enact immigration enforcement through exemplary violence in places in the United States where that is staggeringly unpopular, the policy remains vulnerable to having its inherent violence exposed by non-violence.

Links 2/13/26

Links for you. Science:

Lyme disease is littered with misinformation. Celebrities are part of the problem, experts say
What to know about the deadly Nipah virus, amid outbreak in India
Mathematician Gladys West dies at 95. She was a hidden figure behind GPS.
What South Carolina’s soaring measles outbreak means for the rest of the U.S.
The devastation of island land snails: Pacific leads global wave of extinctions, researchers find
RFK Jr. picks promoters of debunked vaccine-autism claims for key panel

Other:

Bovino Is Said to Have Mocked Prosecutor’s Jewish Faith on Call With Lawyers
Minneapolis Residents Wear Their Passports, Desperate to Ward Off ICE. ICE agents can stop anyone they suspect of being undocumented. Now, residents are weighing their rights and their pride against their own safety.
How to Film ICE. Filming federal agents in public is legal, but avoiding a dangerous—even deadly—confrontation isn’t guaranteed. Here’s how to record ICE and CBP agents as safely as possible and have an impact.
A shadow network in Minneapolis defies ICE and protects immigrants
L.A.’s New Form of Protest: Defacing Every ‘Melania’ Ad in Sight
After Minneapolis, Tech CEOs Are Struggling to Stay Silent
Six Senators Accuse Deputy Attorney General of “Glaring” Crypto Conflict, Cite ProPublica Investigation
Amazon Found ‘High Volume’ Of Child Sex Abuse Material in AI Training Data
ICE Brutally Dragged This Disabled Woman Out of Her Car. What Happened Next Was Just As Chilling.
Judge Calls DOJ’s Statements On Slavery Exhibit Display ‘Dangerous’ And ‘Horrifying’. Senior U.S. District Judge Cynthia Rufe told the Justice Department’s attorneys, ““You can’t erase history once you’ve learned it. It doesn’t work that way.”
ICE claim that a man shattered his skull running into wall triggers tension at a Minnesota hospital
A red hat, inspired by a symbol of resistance to Nazi occupation, gains traction in Minnesota
Epstein Coverage Largely Ignores Trump’s Assault on E. Jean Carroll. This seems like relevant context
Giants co-owner Steve Tisch named in latest Epstein files
French diplomats are taking on MAGA — one meme at a time
Elon Musk Emailed Extensively With Jeffrey Epstein, Asking to Visit His Notorious Island
Trump Could Interfere With the Midterm Elections. You Can Help Defend Them.
ICE claims a man shattered his skull running into wall; Minneapolis hospital staff reject account
Duke professor Dan Ariely had longstanding friendship with Jeffrey Epstein, newly released files show
A better Alabama government requires a bigger Alabama electorate
Anti-Abortion Extremists, Including Those Trump Pardoned, Are Remobilizing to Harass Clinics. MS Now reports that anti-abortion extremists have been emboldened by the DOJ’s decision to limit enforcement of a 1994 law meant to protect reproductive health clinics from violence.
She’ll mess with Texas: Nurse keeps mailing abortion pills, despite Paxton lawsuit
Howard County moves to ban privately-owned ICE detention centers
Erotic Parody ‘Melania: Devourer of Men’ Sales Surge on Amazon Amid Documentary Flop
Trump Lawsuits: The Most Efficient Grift Ever
Elon Musk had more extensive ties to Epstein than previously known, emails show
Police department in Montana’s capital city exits drug task force over border patrol involvement
Tulsi Gabbard’s Georgia Raid Is a Pretext for Future Election Intimidation
Trump wants to build a 250-foot-tall arch, dwarfing the Lincoln Memorial
The Smug and Vacuous David Brooks Is Perfect for The Atlantic
Thousands of new ICE watchers hit the streets after two killings
Whom Is ICE Actually Recruiting?

Sign of the Times

Observed at Dupont Circle, D.C.:

ICE

My WaPo podcast with Megan McArdle

Here is the link, self-recommending…

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Startup bets on new approach to space-based missile defense

‘Our interceptors will actively track hypersonic threats and shortly before impact will deploy large particle clouds’

The post Startup bets on new approach to space-based missile defense appeared first on SpaceNews.

Crew-12 launches to ISS

Crew-12 launch

A Falcon 9 launched a new crew to the International Space Station Feb. 13 to start a busy schedule of arriving and departing vehicles at the station.

The post Crew-12 launches to ISS appeared first on SpaceNews.

Vast wins ISS private astronaut mission

Photo of the ISS.

NASA has selected commercial space station company Vast to fly a private astronaut mission to the International Space Station in 2027.

The post Vast wins ISS private astronaut mission appeared first on SpaceNews.

China’s iSpace launch firm raises record $729 million for reusable rockets

Chinese launch firm iSpace has secured a record D++ funding round to accelerate its reusable rocket development efforts and expand its industrial footprint.

The post China’s iSpace launch firm raises record $729 million for reusable rockets appeared first on SpaceNews.

Friday assorted links

1. The economy of Egypt continues to improve.

2. Who is Claude really? (New Yorker)

3. Cowen’s Second Law, as applied to the Midwest.

4. Andreas Backhaus economics Substack, a post on why the motherhood penalty is smaller than many think.

5. Derivatives on derivatives for the Second Coming.

6. The debate over Mars life continues.

7. Can Greenland be an AI powerhouse? (WSJ)

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Those new service sector jobs

Who needs to be a programmer, be hired to close the doors on Waymo vehicles:


Or see here.  And more text from TechCrunch.  Via Glenn Mercer, Tom McCarthy, and also Air Genius Gary Leff.

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Trump Administration Removes Pride Flag From Stonewall National Monument (but the Stonewall Inn is still in private hands)

 When a national monument is designated around a private business in a liberal state, the ability of the President to alter its message is  at least partially circumscribed.

Trump Administration Removes Pride Flag From Stonewall National Monument  The enduring symbol of LGBTQ+ liberation has been taken down from the historic site.
By James Factora and Quispe LĂłpez  February 10, 2026 

 

A sign marking the spot of the Stonewall National monument in Greenwich Village New York  the Stonewall Inn was the... 

 "Manhattan borough president Brad Hoylman-Sigal told the New York Times that the directive to remove the Pride flag came from the Trump administration. The monument itself was designated in 2016 to honor the origin of Pride in the United States, and was also the first U.S. national monument dedicated to LGTBTQ+ rights.

"But like the 1969 rebellion that cemented Stonewall into history books, queer and trans people are not taking it without a fight. While the park and monument across from the original Stonewall Inn is now a federal park, the business itself is private property.

“Bad news for the Trump Administration: these colors don’t run,” Human Rights Campaign Press Secretary Brandon Wolf said in a statement. “The Stonewall Inn & Visitor’s Center is still privately owned, their flags are still flying high, and that community is just as queer as it was yesterday. While their policy agenda throws the country into chaos, the Trump administration is obsessed with trying to suffocate the joy and pride that Americans have for their communities.”

##########

N.Y.C. Officials Reinstate Pride Flag at Stonewall After Federal Removal   By Liam Stack and Olivia BensimonUpdated Feb. 13, 2026, 2:40 a.m. ET

"A group of New York elected officials gathered on Thursday to replace the Pride flag that was removed from the Stonewall National Monument after a directive from the Trump administration, mounting a defiant response to the government’s assault on diversity initiatives at a federal site honoring the L.G.B.T.Q. rights movement.

"The plan to re-raise the flag in the center of the small park outside the historic Stonewall Inn in Greenwich Village had been widely publicized on social media, and hundreds of spectators cheered as its rainbow colors made their way back up the flagpole under a cloudy winter sky."

Guarding the guardians

Black and white photo of a street scene with a heated discussion involving a traffic officer and men near cars.

Good institutions are social technologies that scale trust from personal relations to entire nations. How do they work?

- by Julien Lie-Panis

Read on Aeon

You are no longer the smartest type of thing on Earth

“He comes like a day that has passed, and night enters our future with him.” — Charlo

Yesterday my pet rabbit bit my finger. It was an accident; he was trying to bite a towel to move it out of his way, and I accidentally stuck my hand in his mouth. He is a gentle beast, and would never bite a human intentionally. Anyway, the bite punctured and lacerated my left index finger near the front knuckle. I washed it out, put some ointment and a band-aid on it, and that was that.

It occurs to me that if my pet rabbit had instead been a tiger, I would now be dead. There is a reason most people don’t keep tigers as pets; they may be fluffy and cute, but they’re big and strong and can easily kill you. Instead, we generally keep pets who are smaller and weaker than us, allowing us to train them, and if necessary to physically restrain them, and minimizing the danger to our own health.

Until now, we haven’t had to think about this principle in the context of intelligence. As long as you or I or anyone we know has been alive — for all of recorded history, and in fact for much much longer than that — humankind has been the most intelligent thing on this planet.

At some point in the next couple of years, that will no longer be true. It arguably is no longer true right now. There is no single unarguable measure of intelligence — it’s not like distance or time. AI doesn’t think in the same way humans do. But it can get gold medals on the International Math Olympiad, solve difficult outstanding math problems all on its own, and get A’s in graduate school classes. Most human beings can’t do any of that.

Intelligence is as intelligence does. If it helps you feel unique and special to sit there and tell yourself “AI can’t think!”, then go ahead. And sure, AI doesn’t think exactly the way you do. It probably never will, in the same sense that a submarine will never paddle its fins and an airplane will never flap its wings. But a submarine can go faster than any fish, and an airplane can fly higher and faster than any bird, so it doesn’t matter. You can value your own unique human way of thinking all you like — and I agree, it’s pretty special and cool — but that doesn’t make it more effective than AI.

Right now, there are some cognitive things that humans still do better than AI, but that will probably not last. The entire might of the world’s technological innovation system is now being thrown into making AI better, and there is no sign of a slowdown in progress. One of the main things AI couldn’t do until recently was to work on a task for a long period of time. That’s changing fast. AI models are flying up the METR curve,1 which tries to measure the length of time a human would require to complete a software engineering task that AIs can do:

Source: Noam Brown

This is what’s behind all the “vibe coding” you’re hearing about. AI agents — basically, a program that keeps applying AI over and over until a task is complete — are now taking over much of software engineering. People just tell the AI what kind of software they want, and the AI pops it out. Human software engineers are still checking the code for problems, but as the technology improves, the cost of doing this is likely to become uneconomical; AI-written software will never be perfect, but it’ll be consistently much better than anything humans could do, and at a tiny fraction of the price.

Vibe coding is taking over fast. Spotify’s co-CEO recently revealed that the company’s best developers don’t write code anymore. Some journalists from CNBC, with no coding experience, vibe-coded a clone of the app Monday, and the company’s stock price promptly crashed. Meanwhile, AI is increasingly writing the next version of itself, and humans may not be in the loop for very much longer.

And all of this — ending software engineering as we know it, acing the hardest math tests, solving unsolved math problems, creating infinite apps at the touch of a button — is just the beginning. The amount of resources that the world is preparing to deploy to improve AI, this year and in the following few years, utterly dwarfs anything that it has deployed so far:

Source: Bloomberg

AI’s abilities scale with the amount of compute applied.2 The amount of compute available this year will be much greater than the amount that’s producing all the miracles you see now. And then next year’s compute will be far greater than that. All the while, AI itself will be searching for ways to improve AI algorithms to better take advantage of increased compute.

Other weaknesses of AI — in particular, its lack of long-term memory and its inability to learn on the fly — will eventually be solved.3 AI will be able to act on its own for longer and longer, with less and less human decision-making in the loop. Meanwhile, massive investment in robotics will give AI more and more direct contact with, understanding of, and control of the physical world.

More and more people are waking up to this reality. An article by Matt Shumer called “Something Big is Happening” recently went viral. It’s very simplified and hand-wavey, and Shumer himself is a bit of a huckster, but it gets the point across. If anything it understates the pace and magnitude of the changes taking place. I recommend giving it a read, if you haven’t already.

But there’s a bigger reality out there that people outside the tech industry — and even many people within it — don’t seem to have grasped yet. It isn’t just that AI could take your job, or put millions of people on welfare, or give us infinite free software, or whatever. It’s that for the first time in all of recorded history, humans no longer are — or soon no longer will be — the most intelligent beings on this planet, in any meaningful functional sense of the word.

For the rest of our lives, we’ll all be sleeping next to a tiger.

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When Amazon badly needed a ride, Europe's Ariane 6 rocket delivered

The heavy version of Europe's Ariane 6 rocket launched for the first time Thursday, hauling 32 spacecraft to low-Earth orbit for Amazon's satellite broadband constellation.

The Ariane 6 rocket lifted off from the Guiana Space Center on the northeastern coast of South America at 11:45 am EST (16:45 UTC), quickly soaring into a clear sky at the tropical spaceport on the power of a hydrogen-fueled main engine and four strap-on solid rocket boosters.

This Ariane 6 configuration, called Ariane 64, is the first to use the rocket's full complement of four boosters. Collectively, the rocket generated more than 3.4 million pounds of thrust (15,400 kilonewtons) of thrust as it steered northeast over the Atlantic Ocean. Less than two hours later, the rocket's upper stage released all 32 of Amazon's satellites into an on-target orbit at an altitude of 289 miles (465 kilometers).

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The import of cross-task productivity

Given that LLMs seem to be able to automate so many small tasks, why don’t we see large productivity effects?

I drafted a short paper recently exploring the possibility that it’s for the same reason (or at least one of the reasons) that labor is typically bundled into multi-task jobs, instead of transacted by the task, in the first place: because performing a task increases one’s productivity not only at the task itself but at related tasks.

For example, say you used to spend half your time coding and half your time debugging, and the LLM can automate the coding but you still have to do the debugging. If you’re more productive at debugging code you write yourself, this (1) explains why “coder” and “debugger” aren’t separate jobs, and (2) predicts that the LLM won’t save half your time. If you’re half as productive at debugging code you didn’t write, or less, the LLM saves you no time at all.

So I was excited to see @judyhshen  and @alextamkin’s paper from a week or two ago finding basically just that!

At least the way I’m thinking about it, “cross-task learning” should make the productivity impacts of automating tasks more convex: – Automating the second half of a job should be expected to have much more of an impact than automating the first half; and – If the machines can learn from their and each others’ experience, as a worker learns by doing from her own experience, then automating two jobs will have more than twice the impact of automating one.

That is from Philip Trammell.  Here is his short piece.  Here is the Shen and Tamkin paper.  This is all very important work for why the AI growth take-off will be much slower than the power of the models themselves might otherwise indicate.  The phrase “…and then all at once” nonetheless applies.  But when?

These short pieces and observations are likely among the most important outputs economists will produce this year.  But are they being suitably rewarded?

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Mother Earth News Article on Lloyd

Article in April/May issue

https://www.motherearthnews.com/

Live From California with Lloyd Kahn is a reader-supported publication. To receive new posts and support my work, consider becoming a free or paid subscriber.

Oliver Kim reviews *How Africa Works*

That is the new book by Joe Studwell, my podcast with him should be coming out pretty soon.  Here is Oliver’s new review.  Excerpt:

Botswana is Studwell’s poster child for a successful democratic developmental coalition. (For this reason, it featured heavily in Acemoglu and Robinson’s Why Nations Fail as an example of “inclusive institutions”.)

Under the sound leadership of Seretse Khama, local chiefs were carefully co-opted at independence and the Botswana Democratic Party built up into a genuine national force. Khama also created a capable civil service, initially staffed by remaining Europeans, but gradually Africanized with sterling Batswana talent. This meant that when diamonds were discovered just around independence, the windfall was carefully managed, avoiding the worst effects of Dutch Disease. These mining revenues helped raise Botswana to upper middle-income status, making it the fourth-richest country in continental Africa.

Botswana’s chief failing, in Studwell’s view, was adhering too much to responsible policy orthodoxy—i.e., not enough industrial policy. There was no vision for large-scale industrialization, no coherent plan to create large numbers of factory jobs. Moreover, the political dominance of large cattle owners (Botswana was a society of pastoralists rather than farmers) meant that redistribution was never in the cards. The result is a relatively rich society, but one that is highly unequal.

You will be hearing my views on these issues soon enough.  Oliver, of course, writes one of the very best Substacks in all of economics.

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Stonebreen’s Beating Heart

An animation of part of an island in the Svalbard archipelago shows ice-covered terrain centered on a glacier that flows toward the dark blue Barents Sea at the top. Shades of red along the glacier appear to pulse from light to dark, indicating seasonal changes in the glacier’s speed—slower in winter and spring and faster in summer.
2014–2022

Edgeøya, an island in the southeastern part of the Svalbard archipelago, is defined by stark Arctic expanses and rugged terrain. Still, even here—halfway between mainland Norway and the North Pole—life persists, from mosses to polar bears. The southern lobe of Stonebreen, a glacier that flows from the Edgeøyjøkulen ice cap into the Barents Sea, gives the landscape a different kind of life. Its ice pulses like a heart.

The apparent heartbeat comes from the ice speeding up and slowing down with the seasons. This animation, based on satellite data collected between 2014 and 2022, shows how fast the glacier’s surface ice moves on average during each month. In winter and spring, the ice flows relatively slowly (pink); by late summer, it races toward the sea at speeds exceeding 1,200 meters per year in places (dark red). In summer 2020, speeds reached as high as 2,590 meters per year (23 feet per day).

In general, summer speedups are caused by meltwater that percolates from the surface down to the base of the glacier, where the ice sits on rock, explained Chad Greene, a glaciologist at NASA’s Jet Propulsion Laboratory (JPL). “When the base of a glacier becomes inundated with meltwater, water pressure at the base increases and allows the glacier to slide more easily,” he said.

Data for the animation are from the ITS_LIVE project, developed at JPL, which uses an algorithm to detect glacier speed based on surface features visible in optical and radar satellite images. In 2025, Greene and JPL colleague Alex Gardner used ITS_LIVE data to analyze the seasonal variability of hundreds of thousands of glaciers across the planet, including Stonebreen.

Stonebreen is a surging glacier, a type that cycles between stretches of relatively slow movement and sudden bursts of speed when ice can flow several times faster than usual. These surges can last anywhere from months to years. Globally, only about 1 percent of glaciers are surge-type, though in Svalbard, they are relatively widespread.

Before 2023, Stonebreen spent several years surging at high speeds after melting along its front likely destabilized the glacier, according to Gardner. Even during this surging period, the ice followed a seasonal rhythm—speeding up in summer and slowing through the winter—all while continuing its faster overall flow toward the Barents Sea.

Since 2023, however, the glacier has all but slowed to a halt, with only a short stretch in the summer when meltwater causes Stonebreen to glide across the ground. It has entered a phase of quiet, or “quiescence,” which is a normal part of the cycle for surge-type glaciers.  

These seasonal heartbeat-like pulses and longer-term variations in ice flow at Stonebreen and other glaciers worldwide can be explored using the ITS_LIVE app.

Maps courtesy of Chad Greene and Alex Gardner, NASA/JPL, using data from the NASA MEaSUREs project ITS_LIVE. Story by Kathryn Hansen.

References & Resources

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The post Stonebreen’s Beating Heart appeared first on NASA Science.

Optimal timing for superintelligence

There is a new paper by Nick Bostrom with that title:

Developing superintelligence is not like playing Russian roulette; it is more like undergoing risky surgery for a condition that will otherwise prove fatal. We examine optimal timing from a person-affecting stance (and set aside simulation hypotheses and other arcane considerations). Models incorporating safety progress, temporal discounting, quality-of-life differentials, and concave QALY utilities suggest that even high catastrophe probabilities are often worth accepting. Prioritarian weighting further shortens timelines. For many parameter settings, the optimal strategy would involve moving quickly to AGI capability, then pausing briefly before full deployment: swift to harbor, slow to berth. But poorly implemented pauses could do more harm than good.

Via Nabeel.

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Roses are Red

Roses are red, nebulas are too, and this Valentine's gift is a Roses are red, nebulas are too, and this Valentine's gift is a


Heavy Rain in the Southern U.S.; Active Weather Continues in Alaska