NASA has released a document that provides some initial details about the proposed United States Space Academy, and it's clear that the space agency wants to move quickly in establishing the institution.
According to the document's timeline, NASA seeks a groundbreaking for a permanent campus no later than next year, the first class to be enrolled and begin studies in temporary facilities in 2028, and a transition to a permanent campus in 2031.
What will that campus look like?
Welcome to Edition 9.10 of the Rocket Report! This week we're celebrating a historic moment in Europe when a German rocket company successfully put its launch vehicle into orbit. Isar Aerospace became the first purely commercial European company to reach orbit, and impressively it did so on just its second launch attempt. How quickly can they scale up operations? How quickly will the second European launch firm reach this goal? Big questions, which for now we don't have answers to.
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.
Isar Aerospace takes a huge step forward. Isar Aerospace, founded in 2018 by three students at a German university, successfully launched a privately developed rocket into low-Earth orbit on Saturday from a Norwegian spaceport inside the Arctic Circle. The two-stage rocket, Spectrum, became the first fully commercial launch vehicle in Europe to reach orbit, Ars reports. With Saturday’s success, Isar becomes the clear leader among a pack of several European launch startups vying to inject some competition into Europe’s stagnant launch market.
Pretty much every rocket company in the United States, save one, has embraced two fundamental tenets: reusability and diversification.
Most famously, SpaceX branched out from reusable rockets to pursue and dominate a growing spectrum of space services: cargo delivery, human spaceflight, satellite production, broadband, and, perhaps soon, orbital data centers and in-space manufacturing. Blue Origin is evolving from a pure rocket company into a satellite manufacturer, robotics developer, and, most recently, a potential competitor for SpaceX's Starlink network.
Rocket Lab used a different approach to diversify after achieving success with its small Electron launch vehicle. The company relocated its headquarters from New Zealand to Southern California, started building spacecraft and payloads, and then went on a spree of corporate acquisitions to expand into satellite communications and take on a new role as a merchant supplier of satellite components and sensors. It's now in a stage of advanced development of its partially reusable next-generation Neutron launch vehicle.
New technologies swept through Britain during the Second Industrial Revolution, destroying old jobs and creating new ones. We know little about how workers reallocated. Using 170 million full-count British census observations (1851-1911), I construct new task-level data on occupation and investigate English bootmaking as it mechanized. 153,000 artisanal jobs disappeared as skills became obsolete; 140,000 specialized jobs emerged. Incumbent artisans did not take the new jobs, nor were they displaced. Instead, entry collapsed-young men stopped entering the old trade. New jobs went primarily to young workers, though not in the same locations. Young cohorts absorbed the adjustment.
Here is the full article by Hillary Vipond, via someone (now forgotten) on Twitter.
The post Labor reallocation during the Industrial Revolution appeared first on Marginal REVOLUTION.
If you ask most satellite companies aside from SpaceX, they will tell you the world doesn't have enough capacity for launching payloads into orbit. This is despite the blistering launch cadence we've seen around the world in recent years, led by SpaceX's Falcon 9 rocket.
Customers in any sector will, of course, usually welcome competition. Theoretically, competition will lead to lower prices and allow the best to rise to the top. It seems like the customers buying launch services were right. SpaceX is dialing back its Falcon 9 launch program, and there is no certainty about when SpaceX's reusable next-generation super-heavy-lift rocket, Starship, will carry anything to orbit besides the company's own Starlink satellites.
So it's no surprise satellite operators are cheering the success of a new launch provider. This was especially the case a few days ago, when Germany's Isar Aerospace reached orbit for the first time with its Spectrum rocket. The launcher delivered a batch of CubeSats to low-Earth orbit from a spaceport in northern Norway, and Isar tasted success after its first test flight ended in failure last year.
From GPT Pro:
The Manhattan Project scientists were remarkably good technological and arms-race forecasters. They correctly rejected the idea that America’s nuclear monopoly could be maintained; the Soviet bomb arrived in 1949. They anticipated thermonuclear weapons, huge arsenals and the extreme vulnerability of cities.
Where many of them went wrong was in moving from “a nuclear war would be catastrophic” to “therefore a catastrophic nuclear war is fairly likely.” They tended to underweight the endogenous response of political and military institutions to the catastrophe—the emergence of second-strike forces, elaborate command systems, crisis management, and above all mutually assured retaliation.
There is even some contemporary evidence for an insider/ordinary-public gap. In August 1945, 69% of Americans told Gallup that development of the atomic bomb was a “good thing,” versus only 17% saying it was bad. The scientists campaigning for international control plainly regarded the public as far too complacent.
So I would summarize the historical evidence this way:
The bomb’s developers were, on average, unusually pessimistic about the political consequences of their invention, and noticeably more pessimistic than the general public.
Here is the full answer.
The post The excess pessimism of early nuclear bomb designers appeared first on Marginal REVOLUTION.
Today, as you obviously know, is the 25th anniversary of the 9.11 terrorist attacks.
Today, like clockwork, is my least-favorite spot on the calendar.
And as a native New Yorker, and as a guy who lived closely through it, I want to ask a favor to all my California peeps …
Talk about 9.11. Tell your kids. Tell your nieces and nephews. Tell your cousins. Obviously, not if they’re too young. But if they’re in their teens—tell them. Tell them about the heroism. Tell them about the heartbreak. Tell them about a uniquely united America. Tell that that life is finite, and must be appreciated.
Tell them about the four planes; about the terrorists. Tell them about flyers; about the smoke and fire. Tell them about people who saw their lives extinguished. Tell them about George W. Bush and Rudy Giuliani and tell them about the members of Congress—left and right—standing before the U.S. Capitol and, as one body, singing, “God Bless America.”
Tell them about Todd Beamer and Mychal Judge; about Tyler Ugolyn and Vernon Cherry.
Tell them America can be united and can be embracing and can be special. Even if it seems distant and faded.
Tell them about September 11, 2001.
Tell them all of it.
Lest we forget.
Construction is famously labor intensive: direct labor makes up close to 50% of the cost of constructing a new single-family home in the US, compared to around 6 to 8% of the cost of manufacturing a car. Unsurprisingly, there’s long been interest in automating the construction process to reduce the amount of labor required, and therefore the cost of housing. The earliest attempt at automating construction I’m aware of dates to 1853, with a plastering machine invented by Isaac Hussey, and since then there have been numerous other attempts.
I wanted to get a better sense of what the arc of construction automation looks like over time: what things had been tried when? What worked, and what fell by the wayside? To do this, I used AI to trawl through thousands of old issues of digitized construction trade journals going back to the 19th century, looking for any example of a construction task being automated.
My main takeaway is that successful construction automation basically falls into two categories. One is construction-related tasks that can be done off-site in a factory: this includes things like steel fabrication, precast concrete, window and door manufacturing, and so on. The other category is on-site tasks that are, or can be made to be, extremely factory-like: they can be done by a machine moving along a simple path, doing some repetitive motion over and over again. Historically, almost anything outside these two categories hasn’t succeeded.
I started by downloading every back issue of Architectural Forum (950 issues) and House & Home (370 issues) on USModernist, and every back issue of Engineering News-Record (4,300+ issues) available on archive.org. These are trade journals that cover various aspects of the construction industry, including construction practices and methods, and cover the period from the mid-19th century up to the early 1980s. I then had Claude (Opus 5 Max) search through these issues and flag any instance of some construction task being automated. In addition to this, I also had Claude do a more general web search for examples of construction automation, which included things like looking through the archives of the International Association for Automation and Robotics in Construction (IAARC).
The purpose of this wasn’t for data analysis: I wasn’t counting the number of cases by year or by category, or anything like that. This was purely an existence survey so I could see what sorts of things had been tried and were promising enough that they made it into a trade journal.
As usual with a task like this, the results will be a function of what definitions you choose to operationalize the terms in your prompt. By “automation,” I mean something like “a machine does some substantial portion of a task without requiring human direction.” So this is distinct from “mechanization” or “industrialization,” where a machine is used to reduce the labor required to do some task, but that machine might still require continuous direction or direct operation from a human operator. So something like a power tool or a crane wouldn’t count as automation, because in both cases each individual movement/action of the machine is orchestrated by the human as the work is being done. A bricklaying machine that automatically placed individual bricks without a human operator directing it brick by brick, on the other hand, would count as automation.
Like most definitions, this one gets fuzzy around the edges. In practice most automated systems require some degree of human oversight while they’re running, and whether that oversight counts as “directing individual movements” can be something of a judgment call. So I’d consider a road-paving machine that automatically lays down asphalt “automation,” even with a human driver monitoring the machine continuously. But something like a ride-on concrete finishing machine seems much more borderline, since that seems to require a lot more human direction on a second-by-second basis.

If some construction task can be done outside an actual construction site, in a factory or factory-like environment, there’s a very good chance that, like any factory task, it can at least be partly automated.
An early example of this is concrete batch plants. Through most of the 19th century, concrete was mixed manually by workers with shovels, but by the late 19th century concrete mixing started to be done by machine, and during the first half of the 20th century these became more and more automated, with things like automatic cement weighing, automatic water dispensing, and so on. On the Hoover Dam, for instance, concrete batching was “completely automated.”

Steel fabrication is similar. Steel sections are, of course, a factory-produced product and always have been, and it’s not much of a leap to turn raw steel elements into building components at the factory and to partly automate those tasks. Machines to do tasks like automatically drilling holes in steel beams, automatically welding pipe seams, and automatically painting steel sections started to appear in the late 19th century and remain widely used today.

More generally, essentially any building material — steel, brick, concrete block, plywood, drywall, shingles — will be produced in large volumes in a factory and thus various portions of the production process will be automated.

Concrete, as we’ve noted, started out as a site-produced material but eventually had its production moved off-site. We see the same trajectory with other building components. Windows and doors, for instance, used to be fabricated on-site, but those are now produced in off-site factories with many of the assembly operations automated. Floor and roof trusses were similarly originally site-produced components but are now mostly made in off-site factories with varying degrees of automation. A typical truss factory will automate the cutting of the various wood sections and the pressing of the truss plates, and some truss factories have even higher levels of automation.

Precast concrete is another factory-produced building component: large concrete elements like beams, walls, and columns are manufactured in an off-site plant, then trucked to the jobsite and assembled there. Precast manufacturing doesn’t necessarily have a great deal of automation, particularly in the US, but it can be highly automated.

This is, of course, part of the reason there’s been so much historical interest in prefabricated construction: once you move the actual construction process into a factory, you can potentially automate large fractions of it, achieving (it’s hoped) labor and cost savings. While sometimes prefabricated construction is merely conventional, labor-intensive construction done inside a warehouse, other times the process is highly automated. Levitt and Sons built a highly automated prefab plant as part of Operation Breakthrough in the 1970s, and today companies such as Autovol in the US and Gropyus in Germany run partly automated plants.

The other category of successful automation is on-site tasks that can be made factory-like: a simple, repetitive motion, done over and over again as a machine moves along a simple path.
A lot of the examples in this category involve concrete or asphalt. Concrete is a good candidate for this sort of automation because it’s a thick, viscous fluid; it can be squeezed into the shape of some particular container and then maintain that shape when the container is removed. So you have things like automatic concrete slipforming machines, which extrude a layer of concrete as they advance forward. Oriented horizontally, these can be used to make things like curbs, trenches, and sidewalks. Oriented vertically, these can be used to make vertical concrete structures (though I believe vertical operation is somewhat less automated).


We also see this sort of “automatic extrusion machine” for metal. Gutter-making machines are basically portable roll-forming machines: they take in sheet metal from a coil and shape it into gutters. Similar portable machines exist for metal roof deck and metal siding.

You also see this sort of automation used successfully in the construction of horizontal, continuous infrastructure. Roads, for instance, are paved with a series of specialized machines called a paving train. Working together, the machines work in sequence to rip up and roughen the existing surface of the road and then lay down a new layer of asphalt.


Parts of railway construction can similarly be done by a series of automated machines. Maintenance tasks — things like replacing worn-out railroad ties and tamping ballast — in particular seem to be highly automated. Since the rail is already in place, this machinery can be rail-mounted, performing its various specialized tasks as it moves along the track.


Tunneling is similar. Historically tunnels were done by hand, but around the turn of the 20th century tunneling began to be done by self-propelled boring machines.

From what I can tell, up through the early 2000s (and even into the 2010s), almost everything that didn’t fall into the two categories (tasks that can be done in an off-site factory, and tasks that can be done in a factory-like way on-site) didn’t succeed.
Automatic bricklaying machines are the classic example of unsuccessful automation here. As I noted in a previous essay, these sorts of machines have been tried over and over again since the early 20th century, and historically none of them succeeded.
Automatic setting of bricks or concrete blocks seems like it would be the perfect construction task to automate: it’s both physically strenuous and extremely repetitive. But in practice, the task isn’t quite simple and repetitive enough to build a machine to easily do it. Spreading a layer of mortar, and then placing a brick on top of it, while ensuring that both the individual brick and overall wall remain straight and level turns out to be hard to do with a uniform, repetitive mechanical motion: in practice the bricks often end up slightly askew, requiring small, individual adjustments to the bricks to make sure that the wall is being built level. Making nice, smooth mortar joints similarly isn’t easy for a machine to do. SAM, the Semi-Automated Mason manufactured by Construction Robotics, required masons to follow behind the robot to finish the joints and occasionally level bricks that were set askew. Fastbrick Robotics’ Hadrian block-laying robot avoided these problems entirely by using a custom adhesive that doesn’t require spreading a layer of mortar.
Brick walls also often aren’t repetitive enough in the sense that they rarely consist of long, uninterrupted runs of uniformly placed brick. Walls are often short, they have window and door openings, they have joints, they have corners and jogs, and various other deviations from uniformity. A simple machine doing a purely repetitive motion, or even a robot with a greater degree of flexibility, can’t easily handle these sorts of deviations, and historically bricklaying machines needed to be manually readjusted by a person whenever they encountered one of these situations. The SAM bricklaying robot really only worked well on very long, uniform stretches of wall; because it couldn’t turn corners or even set bricks at the end of walls, it needed to be set up fresh at every new wall, which took time and effort.
This sort of difficulty is very common with construction automation. Often there’s some repetitive task that can be automated, but it’s not quite repetitive enough to make it worth setting up some machine to do it. If a person has to manually reset a machine every few minutes and move it to a new area, that’s often not any easier than simply having a person do the task. Builders tried automatic welding machines on jobsites as early as the 1930s, for instance, but you don’t see many such machines used today: buildings rarely have long, uninterrupted continuous stretches of welding that would make such a machine worth it.
Similarly, tying rebar — wrapping a thin wire around two pieces of rebar to tie them together — is simple enough to be automated, but historically it hasn’t been quite repetitive enough to field a dedicated machine for it. (In my experience, it’s often not repetitive enough to even give workers power tools that can do this.) Even today the calculus appears pretty unfavorable: Advanced Construction Robotics started offering the TyBOT in 2020, but you only ever see it demonstrated on concrete bridge decks, which have very large expanses of rebar to tie. (It also has a rebar-placing robot, IronBOT, but not only does this also require large expanses of rebar to make sense — its website states that “[s]etup requires planning and coordination due to the IronBOT’s size and capabilities” — but the actual automation is fairly thin, requiring a human to constantly feed it individual bars.)
The lack of sufficient repetition, combined with difficulty in making a construction site “factory-like,” is what doomed Japan’s push to develop construction robots at the end of the 20th century. Starting in the late 1970s, Japan undertook a major effort to develop all manner of construction robots — column-welding robots, fireproofing-installation robots, wall-painting robots, and so on. By the 1990s, over 100 different types of construction robots had been developed. As I noted in a previous essay, while these systems often worked, they generally weren’t particularly productive:
Though the robots could often perform their tasks extremely efficiently, they required a great deal of setup and teardown time, and often encountered difficulties in buildings that hadn’t been specifically designed to accommodate them (such as narrow spaces that the robots couldn’t reach). They also had trouble dealing with the somewhat unpredictable nature of a conventional construction site — their need to work uninterrupted, combined with safety limits on how closely workers could approach, tended to constrain the rest of the construction process. And even when tasks could be completed faster, it often meant that the bottleneck just shifted to some other part of the process…
To try and overcome these issues, Japan’s largest contractors tried to make jobsites as factory-like as possible. They created huge “skyscraper factories,” huge climbing platforms that would build a skyscraper floor by floor with the aid of all manner of construction robots. But this failed to solve the problem:
The long factory setup time made them impractical for smaller buildings, and even on buildings that were large enough, extensive upfront design and coordination was required to design the building for robotic assembly. In some ways, the move from single-task construction robots to fully automated construction sites just shifted where the difficulties occurred — instead of a long setup (and takedown) time for each individual task, now you had one enormous and costly setup over the entire first portion of the project.
Historically, construction automation has been successful on certain types of tasks: tasks that can be moved off-site into a factory, or tasks that are simple and repetitive enough that they can be done in a factory-like manner on-site. Automation outside of these areas generally hasn’t succeeded. Often this is because the task isn’t quite simple and repetitive enough: while you can build a machine to do it, the time and effort it takes to get the machine set up and doing the work, and orienting the jobsite to accommodate it, obviates any advantage you get from the automation.
I think, however, that we’re on the cusp of this changing.
This historical pattern we’ve observed is, in large part, a technological limitation. For most of history machines have had, at best, very narrow information-processing abilities: they were limited in what they could sense about their environment, and the extent to which they could modify their actions based on that information. Often they simply did the exact same motion over and over again regardless of the circumstances. When they could modify their behavior based on environmental feedback, it was in very limited ways. Without robust information-processing abilities, automation is limited to being done in a factory (where you can break apart your task into a series of small tasks, each one done by some particular machine) or to processes that are naturally factory-like.
The history of welding automation provides an example. The earliest welding machines were fixed automation: they performed some specific welding motion — such as welding the seams on pipes — over and over again. Starting in the 1960s, welding began to be done with robots: now instead of needing to build a new machine, you could simply reprogram the robot, feeding it a different sequence of actions to take. But that sequence was still dependent on a human programmer to determine.
Over the next several decades robotic welding gradually accumulated information-processing abilities: by the 1980s a welding robot had a limited ability to determine its position with respect to the weld and modify its actions accordingly. But the scope of this ability was very narrow: a welding robot could do things like measuring the electrical conductivity through the weld to determine its position, but not anything more complex:
They couldn’t compensate for things like a clamp that impeded the path of a robot, or a part that was too dirty to weld properly, or a part that was oriented vertically instead of horizontally, or any of the other thousand things that a manual welder could automatically adjust for.
Thus even automated robotic welding required a fairly repetitive set of tasks to be worth the time and effort it took to set up.
But this technological limitation is changing, and we’re getting machines that have far more robust information-processing capabilities. Modern automation is increasingly capable of being given a set of instructions and figuring out what actions it needs to take, step by step, to achieve them. This is, in large part, due to modern AI technology: if you feed some AI model a huge amount of training data, you can get something that responds effectively in different situations — a self-driving car that navigates a route and a traffic pattern that it’s never observed before, an LLM that answers a question that it’s never seen before, and so on.
This changing constraint is reflected among the emerging set of construction automation startups. There’s a new crop of construction automation startups that are leveraging modern AI technology and are getting traction and raising large amounts of funding. Roughly half of the VC funding for construction robot startups has gone to companies founded post-2022, and most other large funding rounds for construction robotics have been post-2020. (And this doesn’t include the enormous amounts of funding that have gone into more general-purpose, non-construction-specific robots, like Figure.) It’s increasingly becoming possible to automate construction tasks that were previously resistant to it, and I only see this trend continuing.
It’s not clear to me exactly what form this will take: will we see an army of Optimus robots on construction sites capable of a broad array of tasks, or will it be a bunch of special-purpose robots like Dusty and Canvas and Rufus? I suspect that regardless of how it develops, the future of construction automation does not look like the past.
This morning, about two or three o’clock, knocked up in our back yard, and rising to the window, being moonshine, I found it was the constable and his watch, who had found our back yard door open, and so came in to see what the matter was. So I desired them to shut the door, and bid them good night, and so to bed again, and at 6 o’clock up and a while to my vyall, and then to the office, where all the morning upon the victualler’s accounts, and then with him to dinner at the Dolphin, where I eat well but drank no wine neither; which keeps me in such good order that I am mightily pleased with myself for it. Hither Mr. Moore came to me, and he and I home and advised about business, and so after an hour’s examining the state of the Navy debts lately cast up, I took coach to Sir Philip Warwick’s, but finding Sir G. Carteret there I did not go in, but directly home, again, it raining hard, having first of all been with Creed and Mrs. Harper about a cook maid, and am like to have one from Creed’s lodging. In my way home visited my Lord Crew and Sir Thomas, thinking they might have enquired by the by of me touching my Lord’s matters at Chelsey, but they said nothing, and so after some slight common talk I bid them good night.
At home to my office, and after a while doing business home to supper and bed.
This week, at long last, we begin our long-delayed but always expected something that we blog for: the Hearts of Iron IV Teaching Paradox series!1 This has been a long requested series that I put off for a long time because I wasn’t entirely sure how I wanted to tackle it. But my thoughts here have at least congealed somewhat.
So we are going to cover Paradox Interactive’s most popular strategy title: Hearts of Iron IV. And make no mistake: Hearts of Iron IV is popular, more so than any other Paradox game by some distance.2 These days, Hearts of Iron IV generally has more concurrent players on Steam than even strategy stalwarts like Sid Meier’s Civilization (VI, because apparently no one likes VII), Age of Empires IV, Mount & Blade Bannerlord, etc. Hearts of Iron IV isn’t just the most popular Paradox game, it is the most popular strategy game – the whole genre – right now.3
And that makes its historical assumptions well worth talking about. This week we’re going to look at how Hearts of Iron IV simulates military operations, something that in practice makes up probably three-quarters of the player’s experience in the game. Then in the following weeks we’ll look at the strategic ‘shell’ around that operational core, with how the game understands industry, information, strategy and politics.
As with other entries in this series (Europa Universalis IV, Victoria II, Crusader Kings III and Imperator) the goal here isn’t a review of the game or a guide to it, but instead an effort to outline what the historical assumptions of a given game are, what its ‘theory of history’ is, and to try – to a degree – to assess that theory of history against what we actually know of the history.
Especially in this particular section, focused on how Hearts of Iron IV handles land combat, I found I struggled quite a bit to describe how the game simulates operations without getting pulled into how a player might design good operations. As a result, for HoI4 players, this first post may end up feeling a bit surface-level in its description of the game, but this is unavoidable: I want these posts to be intelligible to someone who has never played the game, after all. But whereas with other Paradox games I can often leave the ‘grand tactics’ of maneuvering armies out without losing too much of the core of the game, Hearts of Iron IV is almost all maneuvering armies. It thus cannot be left out, but at the same time, this is not the place for the minutiae of how to conduct an armored breakthrough.
Finally, I should note at the outset that while I bought my own copy of Hearts of Iron IV (ages ago) and have spent far too much money on its DLCs, Paradox did kindly provide me with copies of some of the expansion packs that were missing from my collection (mostly things in the second ‘Expansion pass’).
But first, if you like what you are reading here, please share it, as I rely on word of mouth to replenish my manpower pool after poorly considered post topics. If you really like it, you can support me, my academic work and my public writing, including this project on Patreon! I can’t promise to use your support to buy a division worth of tanks, but I also will not promise not to do that. If you want updates whenever a new post appears or want to hear my more bite-sized musings on history, security affairs and current events, you can follow me on Bluesky (@bretdevereaux.bsky.social). I am also active on Threads (bretdevereaux) and maintain a de minimis presence on Twitter (@bretdevereaux).

In past series on Paradox grand strategy titles, we’ve talked about how it is often possible to summarize these games (especially the way they are different from each other) in terms of what each game is ‘about’ – its core focus. Europa Universalis IV is a game about states,4 while Crusader Kings III is a game about personalistic rule and thus the personal relationships that define it and Victoria II is a game about pops (while Victoria III lives at the intersection of pops, economics and politics). That isn’t to say these games don’t include other things of course, but there is a clear central concept, an idea the game wants to explore most.
Hearts of Iron IV is a game about what in military theory we call operations. Indeed it is substantially more focused on operations than its predecessors (Hearts of Iron II and III; I never played the original Hearts of Iron and so won’t comment on it here) in that it streamlines everything but operations (e.g. research, industry, politics, espionage) in order to more clearly focus on the game’s major focus (though it then allows you to automate a fair chunk of the operations to try to control the complexity).


Now talking about this a bit tricky, because I want to say that Hearts of Iron IV is fundamentally about what we might call the operational level of military analysis or even the operational level of war. But the idea that there is a distinct operational ‘level,’ despite being part of United States military doctrine, is disputed by some current military theorists (if you want to read perhaps the clearest such dispute, see B.A. Friedman, On Operations: Operational Art and Military Disciplines (2021), which I find very persuasive on most of its point). But I don’t want to bog us down unpacking those arguments, which have to do with the nature of operations, the degree to which operational planning is actually a kind of ‘grand tactics,’ or the history of the idea (or lack of it) in Soviet ‘Deep Operation‘ doctrine.
And I don’t think I have to, because there may or may not really be an ‘operational level’ of war between tactics and strategy, but ‘operational art’ as commonly understood in the West is the focus of Hearts of Iron IV, so the term is useful for us regardless of its applicability to real war. Though, of course, the fact that it remains common in modern military doctrine should suggest that it is, to some degree, applicable.5
So what do we mean when we say ‘operations,’ ‘operational art’ or even an ‘operational level of war?’ We have discussed the three levels of military analysis a few times on the blog, but it has been a while and so is worth reviewing. The three levels are tactics (how you fight), operations (where you fight) and strategy (why you fight). To expand on those shorthand definitions, tactics (the lowest layer of analysis) concerns the method used to win battles (broadly defined): maneuver, positioning, stratagems, and so on. Strategy (the uppermost layer) considers the overall objectives a state, polity or organization has, the ways those objectives can be achieved (including the decision not to have a war) and the resources required to achieve those objectives, a set of components short-handed in US military doctrine as ‘Ends, Ways and Means.’ Grand strategy is sometimes treated as its own layer, which broadens the analysis to include political, diplomatic and economic tools and concerns, though I would tend to argue that all strategy is grand strategy: states do not have ends, ways or means that are ever wholly divorced from political, diplomatic and economic tools.

In this schema, operations is the layer that knits strategy together with tactics. Ideally the decision-making process begins with strategy, where it is determined that the best (or perhaps only) way to achieve to achieve a strategic end-state is through warfare. Operations is thus occupied with the question of how to reach that strategic end-state, whatever it might be, through the use of military force.
In practice, that generally means that operations takes the strategic end-state (‘compel the surrender of Germany’) and then designs military campaigns to achieve that objective, which of course means first asking, ‘what would cause Germany to surrender?’ Often this means making decisions about what theaters to prioritize (‘should I fight in France or in North Africa or in Italy?’), which all of the follow-on considerations of logistics, transport and movement in space and time. The maneuver component of this – planning the movement of often very large armies over vast spaces – strongly resembles a sort of ‘super-sized tactics’ and indeed the idea is often termed ‘grand tactics’ which in some contexts has a similar meaning.
Perhaps the best way to exemplify this is with a reasonably direct example, so let us posit Napoleon’s Ulm Campaign (1805). Napoleon had decided that he needed to knock Austria out of the war (‘ends’) and that the best way to do this was the destruction of Austria and Russia’s armies, with Austria coming first, (‘ways’) using Napoleon’s army (‘means’) – all strategic level concerns.
Now comes the operational art: how to best employ his army (the means) to those ends. Napoleon opts for a campaign of rapid maneuver so that he could concentrate a much larger French army against a smaller and isolated Austrian army before Russian (or other Austrian) help could arrive. To do that, he would have to march each piece of his army (his army corps, of which he had six in motion for the campaign) along separate routes (to make maximum use of roads and supplies), while carefully managing their movement (‘space and time’) to make sure they all arrived where the Austrians were at the same time (to avoid being picked off one by one). At the same time, managing the dispersed movement of several large armies meant managing the logistics of these forces, as the campaign would last almost a month (and could have lasted longer) in hostile territory.

Finally, the question of how to actually beat the Austrians once Napoleon’s forces arrived would be a question of tactics.
Operations is thus often concerned with the use of maneuver (both the ‘where’ and the ‘how fast’), logistics and terrain to create favorable conditions where battles can both be won and also be decisive or at least contribute to strategic ends. Now as a ‘level of war’ coequal with strategy and tactics, operations can and indeed must be more than just that, because it would have to consider uses of force beyond simply maneuvering against enemy armies in the field for the purpose of battles, but that frame will serve us pretty well here because it is the frame Hearts of Iron adopts across the entire series. Which is not a critique: this is a game about World War II, which was very substantially a war concerned with large conventional armies maneuvering in the field.
It is thus perhaps both ironic and telling that Hearts of Iron, arguably the modern military strategy game, is fundamentally a game about operations, not strategy (though the latter is present).

Perhaps the most immediately striking and overwhelming element of HoI4‘s visual presentation is how it simulates and represents armies in order to facilitate a game about operations. Whereas in other Paradox titles, armies generally exist as a single ‘stack’ that occupies one point on the map (a province, for instance), in HoI4 (and the earlier HoI titles) armies are broken out into divisions, which, rather than being concentrated at a single point on the map, are instead spread out, typically in clear front lines, often along borders.
There are a few mechanics that push players towards this different way of organizing armies. First, whereas other Paradox games feature ‘armies’ as ‘stacks’ (groups that operate as one) of units, HoI4 treats the division as an almost ‘atomic’ unit. While divisions are (in ways we’ll get to) composed of smaller units, they cannot be merged or split apart and while they can be put in the same province they cannot be ‘stacked.’ A division which is defeated in a combat will not wait for the other divisions in the same combat to be defeated, but will retreat all on its own. In practice, the division functions as a UI element the same way an entire army ‘stack’ in Paradox’s other games does. The player is thus strongly encouraged to think about divisions as the ‘base unit’ of their operational approach (with implications in both nature and scale we’ll get to).
Moreover, the game gives players a lot of reasons not to group their divisions up. Battles, when they occur, have limited frontage and inflict penalties (both frontage penalties and stacking penalties) if there are too many divisions involved in the combat; at the very least excess divisions cannot participate (but have their organization, strength recovery and movement frozen), which makes it a bad use to have excess divisions in a single engagement.

But perhaps most significantly the logistics system compels spread out as well: divisions in Hearts of Iron IV do not just draw from the supply capacity of the province they’re in (they’re already mostly too big!), but rather they pull from a nearby supply hub (which may be several provinces away) and thus need a clear, friendly path to that supply hub. Supply hubs, in turn, have a limited capacity to support units. They can – in a system we’ll talk about later in the series – draw supply at greater distance, but that throughput is limited. Consequently, most states already have armies too large to be supported by a single supply hub. As a result the AI and the player generally cannot ‘doomstack’ (place all or nearly all of their combat units in a single, massive formation, located all together) as in other strategy titles. The player is forced to spread their divisions over multiple supply hubs to maintain them.
Even more importantly, far more so than in almost any other mainstream strategy game, it is very bad if enemies get behind you in Hearts of Iron IV. An enemy division between your divisions and your supply hubs blocks their supply, forcing them out of supply, with catastrophic penalties to combat power and steady attrition which depletes their equipment. Indeed much of the (grand) tactics of Hearts of Iron IV is about finding ways to isolate enemy units from their sources of logistics (which makes sense as this is a core element of operational art). Consequently most of the time, the player or AI will want to leave no gaps in their lines which might allow enemy units to encircle them.
Finally, that ‘no gaps’ approach is facilitated by HoI4‘s ‘movement is attack’ design, which is shares with no other mainland Paradox series. In every other Paradox game, for one army to attack another, it must arrive in the same province, but in Hearts of Iron (the whole series) a division initiates combat the moment it begins to enter a province with an enemy division and cannot finish moving into that province until it has won the battle, displacing the enemy division out of the province (by depleting its organization, forcing its retreat).
The result is a very different combat system, where wars (or at least theaters in wars) resemble two lines of divisions stretching over many provinces ‘shoving’ each other with offensive battles, as opposed to the ‘point location’ battles of other Paradox titles or indeed, other strategy games (e.g. the Total War series) more generally.

The result is that ‘battles’ (large-scale engagement consisting of multiple attacks over connected provinces, the way we’d understand the ‘Battle of France’ or the ‘Battle of Stalingrad’ given their scale) in Hearts of Iron IV are a lot more granular than in other Paradox titles. In Europa Universalis, the player puts together an army, throws it against the enemy army and then hopes for the best: the outcome is heavily shaped by army composition, local terrain and such, but once the player has made the decision to offer battle (or been trapped into it), their active participation is over.
By contrast, HoI4 presents the player with a lot more decisions. Not just ‘should I have a battle in this theater’ but ‘which provinces specifically in this line should I attack first? Which divisions should I use? Should my attacks be sequential or coordinated? How many angles can I attack from?’ and so on. And that is before considering the impact of air or naval operations on the above. The result is something quite like tactics: a skilled player can – by considering attack directions, which divisions to use, local terrain, logistics considerations and so on – produce far more successful offensives in a way that the player simply doesn’t have that level of control in other Paradox titles.6
That said, the player isn’t really doing ‘tactics’ in a typical sense either (indeed in the game ‘tactics’ are approaches chosen automatically by your simulated generals during an engagement; they’re an explicit part of the game design simulated beneath your (operational) layer). The typical considerations of tactics – use of terrain, overlapping fields of fire, formations, fortifications, small-scale maneuver, suppression and so on – are at most simulated abstractly through various bonuses and penalties we’ll get to when we discuss the game’s approach to doctrine.
Because the player’s basic unit of control is the division (and indeed, the player cannot control anything smaller!) and divisions in WWII were really big, often as large or larger as entire field armies in earlier periods. Divisions vary substantially in size but range from 10,000 to 25,000 troops. To give a brief sense of how big a formation that is: most readers are probably familiar with E “EZ” Company from Band of Brothers; we see them do tactics (flanking, encirclement, suppression-and-maneuver). E Company probably feels to most folks like a big-ish unit, with a lot of people (around 140 at any given time) that we meet. E Company was, in fact, just one company (of three) in the 2nd battalion (of three) in the 506th Parachute Infantry regiment (of four, plus a host of supporting elements) in the 101st Airborne Division (which at a typical strength of ~8,000, including support elements, was a small division; US airborne divisions tended to be about half the size of regular infantry divisions). There were, in fact, four E Companies in the 101st, along with one E Battery.
In short, divisions are really big and as a result the concerns for a player whose smallest unit of control is an entire division look pretty different from unit tactics for squads, platoons or companies.

This is also shaped by HoI4‘s different combat model. As we’ve actually discussed before, in most strategy games, battles tend to be extremely decisive, with armies generally taking enormous casualties that render the loser immediately combat incapable. By contrast, in Hearts of Iron, each division has two kinds of ‘health’: a strength rating, which represents the proportion of equipment and manpower the division has available, and an organization rating, which represents the division’s combat effectiveness. Divisions are forced to retreat from combat when their organization hits zero and most damage accrues to organization rather than to strength. But organization replenishes quickly on the game’s time scale (measured in hours). The result is that a division, attacked and defeated by an infantry division, will generally have regenerated its organization substantially by the time it has retreated to the next province and thus be ready to defend again.7 Meanwhile strength damage, assuming the manpower and equipment is available in the country’s stockpile and the logistics route is clear, is replenished very fast compared to the rate at which divisions take strength losses (because most damage accrues to organization), with the result that recently ‘pushed’ divisions will also generally be at full strength.
This produces a ‘shoving match’ rather than decisive battles in HoI4‘s combat model: you do not (generally) destroy enemy divisions when you defeat them, you merely push them. The only reliable way to destroy an enemy division entirely is to defeat it when it has nowhere else to retreat, generally by encircling it. It is, of course, still possible to adopt an attritional strategy, simply aiming to deplete the enemy’s stockpile of manpower and equipment faster than your own – and that does sometimes happen – but what the player is generally trying to do is to use operational art to move faster than that, either by accelerating attrition or bypassing it altogether. But the tool to do that is taking and holding ground (provinces), which neatly reorients the players attention to the way that decision-makers at the time thought about it: operations to take or hold specific territory (rather than thinking, in the first instance, about destroying a given army).
The player’s task, then (which the AI mimics) is to ask, “how do I both achieve shoving (how do I get the front moving the way I want in the first place) and how do I then move the front line in a way that achieves some greater objective?” It is that latter part that is such a shift because, recall, in a lot of games of this sort simply destroying the enemy is the objective, but in Hearts of Iron IV, the enemy will not be destroyed (probably), merely moved backwards. So the question becomes not ‘how do I destroy the enemy?’ but ‘how do I move them backwards in a way that gets me closer to winning?‘
In short, the player is asking, ‘how do I bridge the gap between my tactics (being able to shove the enemy) and my strategy (winning the war in a way that achieves my objectives).’ Which (said gesturing upwards energetically) is operations!

Now I don’t want to get too deep here into ‘how do be good at Hearts of Iron‘ but there are a number of different mid-term objectives players might aim to ‘shove’ for. Perhaps the nearest term is ‘shoving’ for a better vantage to attack a key location. Cities, mountains, forts, forests and so on can all be really good defensive locations; rivers act as barriers between provinces which disadvantage attacks over them. At the scale HoI4 exists at, you cannot ‘flank’ these positions (you can encircle them, more on that in a second), however attacking one province simultaneously from multiple directions widens the frontage of the battle, allowing the attacker to get more divisions into the fray, which can offset the defender’s terrain advantage.8 So often the first objective of a ‘shove’ is to clear ‘easier’ provinces (plains, hills, ones not guarded by river-crossings) in order to be able to lever an opponent out of the ‘hard’ provinces.
One step up further than that, the player might aim to break out into enemy rear areas and disrupt logistics. As noted above, units need clear, unobstructed path to a friendly supply hub to fight effectively: seizing that hub or pinching the supply route (say, cutting across a key rail line) can render even very favorable positions untenable.9 The extreme version of this is encirclement, where you ‘shove’ in a way that cuts off part of the enemy army from any route to their capital, which puts them out of supply (with major combat penalties) and creates a pocket. If the player can then close down that pocket (weakened by attrition and supply penalties as the divisions in it cannot be reinforced), left nowhere to run the divisions stuck in the pocket will be destroyed when they can no longer retreat. This is the one reliably way to fully destroy a division (along with all of its manpower and equipment) and thus the most powerful way to shift the balance of attrition in your favor.10
Perhaps most importantly, of course, you can want to ‘shove’ in order to get control over the underlying terrain itself. As we’ll get to later, factories and raw materials in Hearts of Iron IV do not exist abstractly, they live on the map in specific places – seizing a key area denies the factories and resources in that area to your enemy, further accelerating an attritional advantage. Key urban centers also are ‘victory point’ locations: countries are compelled to surrender (capitulate) when a certain majority (typically quite high) of their victory points are taken.
In some cases, a player may expect to defeat an enemy with a single big initial offensive – a coup de main – in which case the offensive design is about navigating divisions to key victory points and seizing them while maintaining and protecting the logistics lines that effort creates. But in most cases, it is going to take several ‘shoves’ to achieve victory and attrition is going to play a role. Consequently, the player might instead plan a single large campaign aiming to seize a key resource zone or industrial area (and finish up with a front line anchored on good defensive terrain for the inevitable counter-attack), which in turn is composed of smaller operations levering the enemy out of the area by seizing logistics hubs or through disruption which is in turn composed of smaller battles that get the front moving and set terrain conditions for successfully attacking key enemy strong-points.
In short, the player in Hearts of Iron IV lives in the space between strategy (‘win the war’ – as we’ll see, HoI4‘s strategic layer is actually much less developed than comparable games like Victoria III or Europa Universalis IV or V) and tactics (‘win the battle’), asking the player to think about how they can win the battles in a way that wins the war.

All of this is somewhat difficult to describe but with luck some of the screenshots here have helped demonstrate, for those who haven’t played the game, how this system works.
There’s one final set of interacting mechanics here that we need to note which tend to govern the tempo of operations in Hearts of Iron IV: entrenchment and planning. Units that stop moving gain ‘entrenchment‘ over time in their current location, which provides a percentage boost to the damage they deal (‘attack,’ both ‘soft’ and ‘hard’ – we’ll get into this later) and reduces the damage they take when defending (‘defense’). In short, units that sit still in a province get better at defending that province, up to a cap. Full entrenchment is generally a pretty significant bonus and it can be very hard to move a group of well-entrenched infantry divisions off of a province with good defensive terrain (usually terrain with penalizes armor).
Planning works almost exactly like entrenchment except for attacking rather than defending. units assigned to an offensive plan (see below) and set up on the front line gain a planning bonus day by day which increases their attack and reduces they damage they take when attacking (‘breakthrough’). Whereas entrenchment instantly drops to zero once a unit moves, the planning bonus degrades slowly once a unit begins attacking and advancing.
In practice the interaction is this: at the start of an operation, both armies are likely already fully entrenched. To offset that substantial bonus to the defender (which the attacker cannot use – you do not get your entrenchment bonus when you attack, indeed attacking at all instantly sets a division’s entrenchment to zero), the attacker needs to build up a planning bonus, which typically might take something like two weeks of in game time (plus or minus various bonuses). Once that bonus is built up, the attacker strikes, using the planning bonus to overcome the defender’s entrenchment. If both sides are pure infantry, this may still not be enough, because infantry is much better at defending than attacking (high ‘defense’ but terrible ‘breakthrough’) but armor and airpower can tip the scales in favor of the attacker.
That said, once the defender is thrown off of their initial positions he loses his entrenchment bonus, while the attacker’s planning bonus is only slowly wearing off. The advantage thus swings to the attacker who has created a breakthrough, allowing them to widen gaps and push through to exploit the breakthrough. That said, soon enough the attacker’s planning bonus wears off and the constant attacking and advancing wears down the attackers organization (and equipment/manpower), leading the balance to shift back to the defender, who then re-entrenches, re-calcifying the lines in a new position. At which point the attacker, if they want to remain on the offensive, has to pick a new spot, set a new plan, resupply and reinforce their divisions, rev up their planning bonus again and then take another ‘punch.’
The result of this system is to create discrete, identifiable operations (the game will even name them for you). Players (and the AI) plan around these discrete smaller units of warfare with smaller objectives that occur on an observable rhythm.
And as a model of operations in World War II, Hearts of Iron IV broadly succeeds. There is enough detail in the resource and logistics simulation to model why offensives were mounted in the places why were and in the way that they were. The logistics and resource systems create objectives for operations that broadly match those attempted historically and the logistics system is also detailed enough to create the severe logistics hurdles that limited historical operations as well. Playing Britain, for instance, one quickly becomes familiar with the logistics problem in western Egypt and eastern Libya where the lack of infrastructure and rail lines means that as each army pushes forward from its supply bases, it becomes dramatically weaker, which can lead to the same kind of see-saw pattern, for the same reasons, as occurred historically.
Likewise, the system tends to push players towards doctrinal approaches that were successful historically, more or less. We’ll come back to doctrine in a bit, but players quickly discover that while broad linear offensives (using mostly infantry) can work, the more effective approach is finding points on which a lot of very mobile divisions (especially armor) can be focused to create a breakthrough (generally supported by air power), which can enable larger forces to be encircled or have their logistics unmoored. While the game somewhat struggles (as we’ll discuss) to really distinguish between the German and Soviet schools of thought as to maneuver warfare, this nevertheless is maneuver warfare and the game mechanics push the player towards that historical solution.
Meanwhile, the regular cycle of entrechment, planning, reconstitution and then planning again simulates the logistical and organizational complications that led to the operational tempo during the war. No one was, after all, attacking everywhere all of the time. Instead we can identify clear offensive ‘pushes’ which required both planning (in that coordinating so many troops and machines required advanced plans) and preparation (in stockpiling the troops, munitions and fuel) which took time. So, for instance, we can identify key major Soviet offensive operations on the Eastern Front: the winter counter-offensive (Dec 1941-May 1942), the failed Kharkov offensive (May, 1942), operations Uranus (encircling Stalingrad) and Mars (Nov 1942), the Soviet Kursk counter-offensive (July, 1943) and so on.11
Indeed, the Hearts of Iron series remains extremely popular precisely because it so effectively models the operational level of World War II. This is hardly to say it does so perfectly – no game is going to fully capture the complexity of such a large war – but it does so better than any of its competition.
That doesn’t necessarily make it the ‘ultimate operational simulator’ however. Hearts of Iron IV is built to represent large-scale, division-level operations in World War II. As we’ll get to in later parts of this series, it really struggles to represent other aspects of operations: occupation, administration, dealing with partisans and other ‘unconventional’ warfare and so on. Notably, those systems are ‘split off’ from the core operational system, even more so than in previous Hearts of Iron titles. It was possible, for instance, in Hearts of Iron III to ‘spawn’ partisan units behind enemy lines during an offensive to represent coordination with resistance forces (as with the D-Day landings, for instance), but not in HoI4. The game has relatively little way of simulating, for instance, the way incessant partisan activity behind German lines made it difficult for reserve forces to move quickly enough to contain the Soviet breakout around Stalingrad during Operation Uranus (Nov. 1942) which resulted in the encirclement of Friedrich Paulus’ 6th army (along with elements of several other German armies) in a pocket around the city of Stalingrad.
It likewise struggles a bit to represent some of the fighting in the Pacific Theater where operations were often smaller than a division. The Battle of the Tenaru (Aug 21, 1942), for instance, was a significant allied victory that had a meaningful impact on allied (particularly American) morale in the Pacific, but as an engagement between two regiments (the US 1st Marine Regiment and part of the Japanese 28th Infantry Regiment) it lives entirely below the simulation level of Hearts of Iron IV. A player in HoI4 cannot send a regiment – much less a detachment of one – to Gaudalcanal. They must send a whole division or nothing – but for much of the early fighting on Gaudalcanal, neither side was at divisional strength.
Nevertheless, on the whole, the system succeeds. Of course the challenge it creates from a game design perspective is that it is very complex. Compared to a game of Europa Universalis V, where even a quite large empire might split most of its army into perhaps at most 6 or 7 ‘stacks,’ the number of maneuver units in HoI4 is overwhelming. To draw from my screenshots above, in my latest run, my British army in France and the Low Countries in 1939 numbered some 57 divisions and that is, by HoI4 standards, a relatively small army for a major country. For many players, controlling such a large army might be bewildering or alternately frustrating in its granular detail.

Which brings us to:
Attentive eyes on the screenshots I have been using here (and will keep using) may note that sometimes the map has these wonderful drawn front lines and operational arrows and sometimes it doesn’t.
That is because one of the innovations of Hearts of Iron IV was the decision to include a system for automating the operations we’ve been describing. In the past I’ve talked about ‘generations’ of Paradox titles, distinguishing between the very ‘on rails’ second generation Paradox titles (HoI3, Eu3, Victoria II) and the more simulationist, free-form third generation titles (EU4, Crusader Kings II and III, Imperator). I wonder if the trend that won’t end up defining a ‘fourth generation’ of Paradox’ games isn’t the effort to enable a greater degree of accessibility – a broader audience – by allowing players to simply automate entire systems of the game to a greater or lesser degree. You see a bit of this in Victoria III and a lot of it in Europa Universalis IV (where nearly every system can be turned over to AI control), but Hearts of Iron IV, despite falling firmly within the third generation chronologically, shows some of the earliest experimentation with this kind of automation with what I am going to call its ‘war plans system’ which has been part of the game since its launch but was absent in its predecessor, HoI3.
The first part of this system is the highly simplified HoI4 order-of-battle system. Whereas Hearts of Iron III had a fairly complex order of battle system: brigades were grouped into divisions (unlike in HoI4, in III, brigades could be freely moved between divisions or deployed independently), which were grouped into corps, which were grouped into armies, which were combined into army groups, which were assigned to a theater, which each level having its own commander and a command ‘range’ in which their bonuses would apply. Each level above the division also had an HQ unit, representing where the commander and his staff were.
HoI4 radically simplified this: divisions became effectively ‘atomic’ units – unable to be divided into their components – and they are grouped directly into armies (no corps). Each army can have around 25 divisions in it and has one commanding officer, who can have an HQ on the map, but does not need to. An Army Group, in turn, can combine up to five armies. As noted above, these are not ‘stacks’ – the divisions continue to move independently. While HoI4 has ‘theaters,’ these are mostly player-UI elements, they do not provide command bonuses. HoI4 thus compressed HoI3‘s six-level org chart into just three: divisions, armies, army-groups.
However, HoI4 added automation to those armies: you can assign an army a stretch of frontline and the AI (representing the army commander) will automatically deploy the army’s divisions to defend that front line. The player can then draw an offensive line on the map, indicating where he would like an offensive to end up if successful, which creates a war plan at which point divisions begin to accrue their planning bonuses (above). The player can then, at any time, order the army to execute the plan and it will begin attempting to push to the intended ‘finish’ line, taking provinces in sequence (with some attention given to frontage and using easier-to-take provinces to lever enemies off of harder ones) until it gets there or the player orders a halt. It is also possible, though this system, to order amphibious or airborne operations (and indeed, unlike land-based offensives, they can be conducted no other way).
It is thus possible in HoI4 for the player, rather than micro-managing every division, to instead place their armies on the front line and draw arrows where they want them to go and then for the most part let the AI (again, simulating those army and army group generals) ‘figure out’ how to get there, akin to the way that the leader of a country or a high command (like the Soviet Stavka or German OKW) would determine general objectives and then let generals ‘on the ground’ come up with the detailed plans on how to reach them. AI controlled countries use this system exclusively to conduct their warfare.
And it is easy to see the intent here and how it aligns with the historical vision of the game. After all, the player in Hearts of Iron IV is not a corps commander, they are directing the entire military – land, air and naval assets, industrial production, doctrine and even policy – of a country. You play as the state (and continue to do so even if the government of the state changes; we’ll come back to that), after all. So instead the idea is that the player merely draws the war plans and determined the composition of the armies that will execute each part of the plan (indicated by its own frontline and offensive lines) and then, when the time is right, triggers the plans and lets the simulation handle the messy details of coordinating attacks.
However, whereas Victoria III (which has a similar ‘automated’ war system) forces the player to use it and does not offer the option for manual control, Hearts of Iron IV keeps the ability for players to move divisions manually. My suspicion is that most plays rely on a mix of automation and manual direction, though my impression is that I use rather more manual direction than most, a product of having been playing the series since Hearts of Iron II (where no automation option existed). It is not possible to build a planning bonus without a war plan, with the result that even when I am planning to entirely manually control an offensive (which I usually do), I will begin by drawing an offensive war plan somewhere (it does not matter at all if the arrow is pointing where I intend to go) in order to build that planning bonus. But I’ll then commence the attack by deleting the war plan so the AI doesn’t shift divisions around without my say so.
There are advantages to manual deployment in this way, which mostly gets down to precision control. The army AI has gotten a lot better over the years, but on the defensive it still tends to shift divisions around too much and doesn’t defend in depth effectively. The latter matters a lot because if you are expecting to get pushed from a position, it is a good idea to have divisions already place done province back so that they have their full entrenchment bonus when the enemy tries to breakthrough. Likewise, shifting divisions around a front removes their entrenchment bonus, which can be disastrous if done at the wrong time.
On the offensive, the army AI is reasonable competent but broadly speaking a bit wasteful compared to a player, far more willing to launch attacks that have little chance of succeeding because they’re ‘part of the plan.’ Consequently when doing large-scale offensives I often leave my leg infantry under AI control on front lines (but without any attack orders) while micro-managing my armored, mechanized and motorized divisions (which are doing most of the attacking): the result is that as I push forward, the front lines automatically adjust, causing my leg infantry divisions to file into and dig in into new positions as the armor advances.
What I think is most significant, however, for Hearts of Iron IV‘s view of history is simply that the operational-level simulation is most of the game. Whereas Victoria III completely automates its front lines because warfare is less important compared to politics and economics in that game, Hearts of Iron IV provides automation tools because it invests so much player attention into the operational level of the game that it becomes simply overwhelming.
It is difficult to measure just how much Hearts of Iron IV is a game about the operational – rather than strategic – but the playtime balance in any given ‘run’ between pre-war and war is instructive, because the strategic layer (political focuses, industry management, research, espionage) work at the same speed both pre-war and during the war, but the operational element becomes massively more complex once the shooting starts. In my current UK run, I covered the three years from game start in 1936 to the beginning of the war in 1939 in a single play-session that lasted about four hours (including a break for dinner!). Making it to 1944 (where I am now as I write this) by contrast, took a dozen play sessions over two weeks that took up more than 20 hours.
So while I cannot speak for the ‘typical player,’ I would suggest we might place the balance that in a typical run (which usually ends in ’44 or ’45 – few players push past the end of the war and there is almost no content there to play anyway), a player might spend something on the order of three-quarters of their time and attention entirely on the operational level (including naval and air warfare), with the remaining one quarter split over politics, industry, research, espionage and so on.
And that gets us to perhaps the most important part of Hearts of Iron IV‘s theory of history: in Hearts of Iron IV, ‘history’ is mostly a history of warfare fought on the operational level between conventional armies with division-sized elements. That is, to be clear, not an absurd way to frame a game about World War II. World War II was a lot of other things too, of course – it was an enormous and incomprehensibly complex conflict – but in terms of setting a game’s focus, it makes sense.
However, it is important to note everything that gets neglected in that focus. Small unit actions are left out, partisan activity is barely simulated, war crimes are entirely removed (we’ll get to it), asymmetrical warfare – often an important part of WWII – is mostly absent as is the experience of war. We’ll see this even more as we begin to look at other systems but Hearts of Iron IV has almost nothing to say about the experience of World War II; the comparison with Crusader Kings or Victoria, which have a lot to say about the experience of the Middle Ages or industrialization is really marked. The game never asks you to consider the experience of being an individual soldier or worker during these events and it – for reasons we’ll get to – really never asks you to consider the experience of being a civilian caught in the maelstrom of atrocity and violence. It doesn’t even have much to say about the experience of being, say, Sir Claude Auchinleck, sweltering in the heat of North Africa trying to coordinate an offensive and make sense of confusing information while managing (or, in the event, failing to manage) the expectations of Winston Churchill.12
Hearts of Iron IV is the most popular Paradox title, by a country mile. It is quite possibly the most popular current strategy game on the market. Its influence is significant enough to be detectable in the patterns of political thinking that show up in both commentary and decision making. And yet it is, by far, the narrowest Paradox game, with the thinnest vision of history. Again, that is not necessarily a critique – it is fine to make a game about operations. But Hearts of Iron IV is fundamentally a game about operations in WWII, rather than a game about WWII.
Next week, we’ll start diving into the systems that create the ‘shell’ around Hearts of Iron IV‘s impressive operational simulator and I am going to start to have a lot more unkind things to say.

Australian Earth observation satellite company LatConnect 60 (LC60) has strengthened its position in India with two strategic agreements announced at the Bengaluru Space Expo 2026 on September 7th, spanning satellite […]
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JVRC National Jewish Survey: August 26 – September 1, 2026
Apple Doesn’t Want You to Worry About the New Apple Watch’s Listening Features
Democrats’ Hollywood Allies Think the Party Has Lost the Plot
Massachusetts hits data centers with new clean power rules
Donald Trump’s Nephew Pokes Holes in President’s Claims About His 9/11 Aid, Saying It ‘So Offends Me That I Need to Speak Out’
The hidden dangers of Musk’s votesafe.org
The Price of Money
Rhode Island Gov. Dan McKee Loses Democratic Primary
What the Aftermath of 9/11 Taught Me
DHS Deletes AI Immigration Post After Backlash
The Mass Party of the Future
As we’ve said before, the only good week is one without any homicides. Nevertheless, as of Friday 9am, D.C. has reported has only one new homicide this week, bringing the total for the year to 70*. Last year, during the same time period, we had 105 homicides, and in the surge year of 2023, there were 188 homicides during that same time period.
Nonviolent crimes remained mostly level, but assaults and robberies increased somewhat. It’s still unclear if we will achieve another 33 percent drop in homicides for the third straight year–a trend that began pre-occupation, in the Biden era. It’s going to be very close.
Still waiting for a zero homicide week.
*Three of the 73 murders reported this year actually occurred in other years (e.g., a missing persons case from 2023 turned into a homicide case this year with new evidence). Also, occasionally homicides get reclassified so the annual total often will increase or decrease by one, with or without any new homicides.
Here's a preliminary program for the October NBER Market Design Working Group Meeting at Stanford
Market Design Working Group Meeting
Organized by Eric Budish and Michael Ostrovsky
October 16-17, 2026
Format: 35 minutes for the presentation, 10 minutes for discussion.
Friday, October 16
9:00 am
Personalized Recommendations Without Inducing Congestion: Mitigating Disparities in the NYC High School Match
Erica Chiang, Cornell University
Kenny Peng, Cornell University
Rebecca Lichtenstein, New York City Public Schools
Brielle McDaniel, New York City Public Schools
Kristen O'Neil, New York City Public Schools
Dejaunique Thomas, New York City Public Schools
Lianna Wright, New York City Public Schools
Jon Kleinberg, Cornell University
Eva Tardos, Cornell University
Nikhil Garg, Cornell University
9:45 am
Who Gets What in Education: Can School Matching Improve Student Achievement?
Atila Abdulkadiroglu, Duke University and NBER
Parag A. Pathak, Massachusetts Institute of Technology and NBER
Christopher R. Walters, University of California, Berkeley and NBER
10:30 am
Break
11:00 am
Searchable Menus
Frank Yang, Stanford University
Piotr Dworczak, Northwestern University
11:45 am
Two-Sided Matching with Partial Participation
Assaf Romm, Hebrew University of Jerusalem
Ran Shorrer, The Pennsylvania State University
Avinatan Hassidim, Bar-Ilan University
12:30 pm
Lunch and Conversation with Al Roth about his latest book, "Moral Economics"
2:30 pm
Clearing Multi-Unit Markets with Simple Pricing
Ali Makhdoumi, Duke University
Saša Pekeč, Duke University
Xinchang Wang, Duke University
3:15 pm
Quota Marketplace: Dynamic Pricing for Efficient Allocation of ML Training Resources
Renato Paes Leme, Google Research
Balasubramanian Sivan, Google Research
Mihai Tiuca, Google Research
Ian McFarlane, Google Research
Vasilis Gkatzelis, Drexel University
Nehal Mehta, Google Research
Soheil Hassas Yeganeh, Google Research
Vahab Mirrokni, Google Research
Amin Vahdat, Google Research
4:00 pm
Break
4:30 pm
One-Shot Pricing for Hands-Off-the-Wheel Advertising Markets
Emerson Melo, Indiana University
Matthew Shum, California Institute of Technology
Rakesh Vohra, University of Pennsylvania
5:15 pm
Paying for Information, Not for Clicks: A Block-Level Publisher Content Marketplace for AI Answers
Markus Mobius, University of Michigan
Andras Sari, Central European University
Tanya Rosenblat, University of Michigan
David M. Rothschild, Microsoft Research
Brendan Lucier, Microsoft Research
Nicole Immorlica, Yale University
Oliver Kiss, Spreadmonitor
Jingyi Qiu, University of Michigan School of Information
Colin Watson, Microsoft Research
Ishan Mahajan, Microsoft Research
6:00 pm
Adjourn
6:30 pm
Group Dinner at Tamarine Restaurant, 546 University Avenue, Palo Alto
Saturday, October 17
8:00 am
Continental Breakfast
9:00 am
Screening for Usage
Justin Hadad, University of Oxford
Kyle Woodward, Assign Group
9:45 am
Pricing the Right to Renege in Search Markets: Evidence from Trucking
Richard Faltings, University of California, San Diego
10:30 am Break
11:00 am
Competition and Welfare in Airport Slot Allocation
Sebastian D. Bauer, Universidad Carlos III de Madrid
11:45 am
Road Pricing under Heterogeneity
Shoshana Vasserman, Stanford University and NBER
Brad Ross, University of Pennsylvania
Adi Shany, Tel Aviv University
Itai Ater, Tel Aviv University
12:30 pm
Boxed Lunch and Adjourn
Why is war so economically costly? Our answer is that modern war lowers output not only by destroying productive factors, but also by making the surviving economy work less efficiently. Using uniquely comprehensive firm-level data collected during Russia’s full-scale invasion of Ukraine in 2022, we document a dramatic collapse in allocative productivity in Ukraine. To sharpen identification and explore key mechanisms (including the role of war intensity, internal displacement, reallocation, and macroeconomic instability), we exploit spatial heterogeneity across Ukrainian districts and comparisons with Russian aggression in 2014 and the 2008 Global Financial Crisis. Our key policy implication is that restoring allocative efficiency–and preparing institutional arrangements that facilitate rapid reallocation in times of stress–is critical for sustaining economic capacity, defense, and national security.
That is from a new working paper by Yuriy Gorodnichenko, Marvin Amann, and Oleksandr Talavera.
The post The Allocative Cost of War appeared first on Marginal REVOLUTION.
Every year, for 25 years, I’ve written on the observance of this anniversary. Some years, it’s been for me, some years it’s been for the people who’ve been with me along the way. Some years, I didn’t know why I was even doing it any more. But this year, for the first time in a long time, I can feel exactly what story I want to tell.
Right from the day of the attacks, that evening, I remember people all around the world saying to us, “Today, we are all New Yorkers.” It was so earnest, a statement so sincere, that I am still surprised how much it moved me. It might be hard for folks to imagine now, but it felt so real, that people everywhere — including people across America — felt like they loved us in New York City, and they were grieving with us, and cared about us.
And now we’re here in 2026, where it’s been wondrous to watch the world, for the first time since then, tell us once again that… their hearts are with New York City. This time, not in grief, but in joyous celebration. Celebration of our victories: Knicks in five! The Liberty and Gotham FC were champs less than two weeks after that! The World Cup lit the city up! Hip hop fans in the city came together for career-cappers by Wu-Tang and Jay Z. Countless festivals popped off, parades were more alive than ever, and nearly every one of those festivals and parades featured a shout-out to, or appearance from our wildly popular mayor Zohran Mamdani.
There are so many more highlights of how our city is serving us: the rollout of universal child care for 2-K, expansion of school safety zones to slow traffic for our kids, fixing up playgrounds, tickets for kids to go to Broadway and regular folks to go to the U.S. Open, repairing the BQE, $100 million in tips rightfully going to delivery workers, simplified paperwork for small businesses, the launch of the offices of Deed Theft Prevention, Insurance Affordability, Worker Power, and lots more.
The city is the safest it’s been in the 400 years since Europeans arrived.
And every single one of these triumphs, greeted by our friends and supporters around the world cheering for the progress our city is making, encouraging our successes. Rooting for us like they were 25 years ago, happy for us in good times, not just in our sorrow.
Perhaps more importantly, it’s showing how we can lead by our example: with compassion and care for one another, with open hearts and an abiding desire to lift one another up. It’s the same impulse I saw in abundance on the afternoon of 9/11. I have said many times that the afternoon after those attacks was one of the most beautiful displays of humanity I’ve ever seen, with strangers caring for each other on the sidewalks and in the streets; the spontaneous hugs between strangers in the street after the Knicks clinched the championship was a mirror of that feeling, with communal love being openly expressed, but without needing profound grief to catalyze it.
I’ve seen New York show its heart openly a number of times in the years since the attacks: The blackout in 2003, after Hurricane Sandy, that first cruel wave of Covid. But all of those were born of struggle and pain. Today, we still have folks greeting each other with “Knicks in five!” Something has changed.
I point out all this joy because it’s important to understand what it represents. As I’d pointed out last year, the abandonment of our principles in America, our embrace of authoritarianism, our discarding of the rule of law — these represent a victory for those who sought to attack us that day. They validated so many of the critiques they leveled about the American empire and the American way, even if they could never justify the hatred or bigotry of their ideology, or the cruelty and senselessness of their attacks.
We gave them a win when we turned to fascism, and for a long time that made me despair.
But I knew that there is so much good in us, because I’d seen it in this city, and I knew that the solution would lie in rebuilding. Not just in a physical rebuilding, like the kind that so many focused on in the days and year after the attacks (I was so sick of hearing those who didn’t give a damn about our neighborhoods talk about “build the towers back exactly as they were!”, without regard for whether that was actually good for the community), but a deeper communal and cultural rebuilding. The sort of thing a caring heart might describe as replacing “the frigidity of rugged individualism with the warmth of collectivism”.
Many wonder how, or if, the United States will find its way out of authoritarianism. The only possible way is if people are joyfully running towards a better option, not fearfully backing away from the worst of what they face today.
That’s a fragile hope. But it is a hope. And the moment we are having in New York City right now gives so many a chance to see exactly what a possible future looks like. We’re not just happy about a good mayor who makes fun social media, or a winning basketball team, or the lowest crime ever. We’re not merely celebrating the economic revitalization of a neighborhood that survived an unimaginable attack. We’re not simply repeating the same pizza-and-bagels platitudes.
We are joyfully, purposefully building a future together here, where we lift each other up, and celebrate each other. We’re caring for those who are lost, or afraid, or vulnerable. And then we’re caring for those who care for them. We’re not reciting platitudes about how our diversity makes us better; we’re just living our diversity and letting the dividend speak for itself.
This isn’t just another excuse for me to say “I love New York, it’s the greatest city in the world”, although it’s also that. It’s a bit of a paternal embrace to the young man I was back on the day of those attacks, too. I’m reaching back half a lifetime ago for me, now, with less than half of my life left. And I can see the turning point. On the day, I said, “today’s the day when everything changed”, but I didn’t know how right I was at a personal level. In just the few weeks and months that followed, I met my wife, embraced a new group of friends who would define my social circle for the years to come, and committed to building the purpose and life that I still live.
In many ways, my life started that day, and it’s part of why I have such a deep and abiding love for this city. Just a few weeks ago, I was at an event where someone asked why I’ve served on the board of a community organization for many years, and without thinking, my immediate response was, “Because this place saved my life.” I’d never articulated it that way before, and didn’t think about my answer before I said it, but it felt like the most obvious thing in the world.
It’s just true. When you see what community, real community looks like, it heals you and inspires you. Of course New York City doesn’t have any kind of monopoly on that. But the combination of our communities with our outsized global impact has a resonance far beyond these few islands.
In the days just after the attacks, every flat surface around Manhattan was plastered with MISSING posters showing images of those lost. For a few days, there had still been hope of recovering survivors. After it became obvious that there weren’t going to be any more rescues, many places began putting up an updated version of Milton Glaser’s famous “I Love NY” logo, now appended to say “More Than Ever”. These posters took their place next to, or sometimes in place of, the “missing” posters.
Every once in a while, I’ll go into a bodega or a coffee shop, especially downtown, and I’ll still see a faded “More Than Ever” poster up in the window. What’s strange is, it doesn’t instantly take me back to that time.
It keeps me right here. Joyfully looking toward what’s next.
Last year, 24 is After the Fall:
Despite all this, New York City is still the New York that permanently became a part of my heart that day. We will embrace the young Muslim man who will, inshallah, be our mayor soon. We will hold the line on remembering that day as it actually was, and caring for each other now as we did then. If Manhattan has to be a figurative island as much as a literal one, then that’s what it was always born to be.
Two years ago, 23: What was 9/11?:
The majority of people in the world were either not born, or not old enough to be aware of what was going on, and then many who would recall are either gone or their memories have faded. But I was in New York City on September 11, 2001, and I can say definitively: The constructed cultural narrative around the day bears almost no resemblance to the actual lived experience of anyone I know who was here that day. So maybe it’s worth telling a little bit of what I actually saw.
Three years ago, "It's unrecognizable":
[M]aybe I keep coming back because I am hoping that others might still recognize the little glimpses of humanity that I saw on the day of the attacks, and that I saw in abundance, in New York City, in the days that follow. It wasn't a myth, it wasn't just wishful thinking, there really was kindness and care in this place that I love so much. I don't think those who tell the loudest stories today would even recognize it.
Four years ago, "There Is Nothing To Remember"
So it's clear that the events of that day have fully passed into myth, useful only as rhetoric in a culture war, or as justifications for violence. Nothing epitomizes this more than the fact that, while the memory has faded in culture broadly, it's only brought to the fore in situations like those where most New Yorkers would be targeted.
Five years ago, "Twenty is a Myth":
I can't change how society overall sees this event. To my eternal regret, I couldn't change how we responded in any meaningful way. But I did get to make personal changes, permanently and for the better, and the loss and grief of that day does still motivate me to try to honor the moment by pushing for justice, and care, and an earnest engagement with the world.
Six years ago, Nineteen is When They Forgot
I do have the experience of having seen this city bounce back from unimaginable pain before. I have seen us respond to attacks on our public life by rebuilding and reimagining public space. I have seen us grieve our losses and rally behind those who cared for those injured, and preserve space in our cultural memory for their pain and sacrifice. By no means have we done enough for all those lost, but it is absolutely true that we can rebuild. We’ve done it before.
Seven years ago, Eighteen is History
There are ritualized remembrances, largely led by those who weren't there, those who mostly hate the values that New York City embodies. The sharpest memories are of the goals of those who masterminded the attacks. It's easy enough to remember what they wanted, since they accomplished all their objectives and we live in the world they sought to create. The empire has been permanently diminished. Never Forget.
In 2018, Seventeen is (Almost) Just Another Day
I spent so many years thinking “I can’t go there” that it caught me completely off guard to realize that going there is now routine. Maybe the most charitable way to look at it is resiliency, or that I’m seeing things through the eyes of my child who’s never known any reality but the present one. I'd spent a lot of time wishing that we hadn't been so overwhelmed with response to that day, so much that I hadn''t considered what it would be like when the day passed for so many people with barely a notice at all.
In 2017, Sixteen is Letting Go Again
So, like ten years ago, I’m letting go. Trying not to project my feelings onto this anniversary, just quietly remembering that morning and how it felt. My son asked me a couple of months ago, “I heard there was another World Trade Center before this one?” and I had to find a version of the story that I could share with him. In this telling, losing those towers was unimaginably sad and showed that there are incredibly hurtful people in the world, but there are still so many good people, and they can make wonderful things together.
In 2016 Fifteen is the Past:
I don’t dismiss or deny that so much has gone so wrong in the response and the reaction that our culture has had since the attacks, but I will not forget or diminish the pure openheartedness I witnessed that day. And I will not let the cynicism or paranoia of others draw me in to join them.
What I’ve realized, simply, is that 9/11 is in the past now.
In 2015, Fourteen is Remembering:
For the first time, I clearly felt like I had put the attacks firmly in the past. They have loosened their grip on me. I don’t avoid going downtown, or take circuitous routes to avoid seeing where the towers once stood. I can even imagine deliberately visiting the area to see the new train station.
In 2014, Thirteen is Understanding:
There’s no part of that day that one should ever have to explain to a child, but I realized for the first time this year that, when the time comes, I’ll be ready. Enough time has passed that I could recite the facts, without simply dissolving into a puddle of my own unresolved questions. I look back at past years, at my own observances of this anniversary, and see how I veered from crushingly sad to fiercely angry to tentatively optimistic, and in each of those moments I was living in one part of what I felt. Maybe I’m ready to see this thing in a bigger picture, or at least from a perspective outside of just myself.
From 2013, Twelve is Trying:
I thought in 2001 that some beautiful things could come out of that worst of days, and sure enough, that optimism has often been rewarded. There are boundless examples of kindness and generosity in the worst of circumstances that justify the hope I had for people’s basic decency back then, even if initially my hope was based only on faith and not fact.
But there is also fatigue. The inevitable fading of outrage and emotional devastation into an overworked rhetorical reference point leaves me exhausted. The decay of a brief, profound moment of unity and reflection into a cheap device to be used to prop up arguments about the ordinary, the everyday and the mundane makes me weary. I’m tired from the effort to protect the fragile memory of something horrific and hopeful that taught me about people at their very best and at their very, very worst.
In 2012, Eleven is What We Make:
These are the gifts our children, or all children, give us every day in a million different ways. But they’re also the gifts we give ourselves when we make something meaningful and beautiful. The new World Trade Center buildings are beautiful, in a way that the old ones never were, and in a way that’ll make our fretting over their exorbitant cost seem short-sighted in the decades to come. More importantly, they exist. We made them, together. We raised them in the past eleven years just as surely as we’ve raised our children, with squabbles and mistakes and false starts and slow, inexorable progress toward something beautiful.
In 2011 for the 10th anniversary, Ten is Love and Everything After:
I don’t have any profound insights or political commentary to offer that others haven’t already articulated first and better. All that I have is my experience of knowing what it mean to be in New York City then. And from that experience, the biggest lesson I have taken is that I have the obligation to be a kinder man, a more thoughtful man, and someone who lives with as much passion and sincerity as possible. Those are the lessons that I’ll tell my son some day in the distant future, and they’re the ones I want to remember now.
In 2010, Nine is New New York:
[T]his is, in many ways, a golden era in the entire history of New York City. Over the four hundred years it’s taken for this city to evolve into its current form, there’s never been a better time to walk down the street. Crime is low, without us having sacrificed our personality or passion to get there. We’ve invested in making our sidewalks more walkable, our streets more accommodating of the bikes and buses and taxis that convey us around our town. There’s never been a more vibrant scene in the arts, music or fashion here. And in less than half a decade, the public park where I got married went from a place where I often felt uncomfortable at noontime to one that I wanted to bring together my closest friends and family on the best day of my life. We still struggle with radical inequality, but more people interact with people from broadly different social classes and cultures every day in New York than any other place in America, and possibly than in any other city in the world.
And all of this happened, by choice, in the years since the attacks.
In 2009, Eight Is Starting Over:
[T]his year, I am much more at peace. It may be that, finally, we’ve been called on by our leadership to mark this day by being of service to our communities, our country, and our fellow humans. I’ve been trying of late to do exactly that. And I’ve had a bit of a realization about how my own life was changed by that day.
Speaking to my mother last week, I offhandedly mentioned how almost all of my friends and acquaintances, my entire career and my accomplishments, my ambitions and hopes have all been born since September 11, 2001. If you’ll pardon the geeky reference, it’s as if my life was rebooted that day and in the short period afterwards. While I have a handful of lifelong friends with whom I’ve stayed in touch, most of the people I’m closest to are those who were with me on the day of the attacks or shortly thereafter, and the goals I have for myself are those which I formed in the next days and weeks. i don’t think it’s coincidence that I was introduced to my wife while the wreckage at the site of the towers was still smoldering, or that I resolved to have my life’s work amount to something meaningful while my beloved city was still papered with signs mourning the missing.
In 2008, Seven Is Angry:
Finally getting angry myself, I realize that nobody has more right to claim authority over the legacy of the attacks than the people of New York. And yet, I don’t see survivors of the attacks downtown claiming the exclusive right to represent the noble ambition of Never Forgetting. I’m not saying that people never mention the attacks here in New York, but there’s a genuine awareness that, if you use the attacks as justification for your position, the person you’re addressing may well have lost more than you that day. As I write this, I know that parked out front is the car of a woman who works in my neighborhood. Her car has a simple but striking memorial on it, listing her mother’s name, date of birth, and the date 9/11/2001.
In 2007, Six Is Letting Go:
On the afternoon of September 11th, 2001, and especially on September 12th, I wasn’t only sad. I was also hopeful. I wanted to believe that we wouldn’t just Never Forget that we would also Always Remember. People were already insisting that we’d put aside our differences and come together, and maybe the part that I’m most bittersweet and wistful about was that I really believed it. I’d turned 26 years old just a few days before the attacks, and I realize in retrospect that maybe that moment, as I eased from my mid-twenties to my late twenties, was the last time I’d be unabashedly optimistic about something, even amidst all the sorrow.
In 2006, After Five Years, Failure:
[O]ne of the strongest feelings I came away with on the day of the attacks was a feeling of some kind of hope. Being in New York that day really showed me the best that people can be. As much as it’s become cliché now, there’s simply no other way to describe a display that profound. It was truly a case of people showing their very best nature.
We seem to have let the hope of that day go, though.
In 2005, Four Years:
I saw people who hated New York City, or at least didn’t care very much about it, trying to act as if they were extremely invested in recovering from the attacks, or opining about the causes or effects of the attacks. And to me, my memory of the attacks and, especially, the days afterward had nothing to do with the geopolitics of the situation. They were about a real human tragedy, and about the people who were there and affected, and about everything but placing blame and pointing fingers. It felt thoughtless for everyone to offer their response in a framework that didn’t honor the people who were actually going through the event.
In 2004, Thinking Of You:
I don’t know if it’s distance, or just the passing of time, but I notice how muted the sorrow is. There’s a passivity, a lack of passion to the observances. I knew it would come, in the same way that a friend told me quite presciently that day back in 2001 that “this is all going to be political debates someday” and, well, someday’s already here.
In 2003, Two Years:
I spent a lot of time, too much time, resenting people who were visiting our city, and especially the site of the attacks, these past two years. I’ve been so protective, I didn’t want them to come and get their picture taken like it was Cinderella’s Castle or something. I’m trying really hard not to be so angry about that these days. I found that being angry kept me from doing the productive and important things that really mattered, and kept me from living a life that I know I’m lucky to have.
In 2002, I wrote On Being An American:
[I]n those first weeks, I thought a lot about what it is to be American. That a lot of people outside of New York City might not even recognize their own country if they came to visit. The America that was attacked a year ago was an America where people are as likely to have been born outside the borders of the U.S. as not. Where most of the residents speak another language in addition to English. Where the soundtrack is, yes, jazz and blues and rock and roll, but also hip hop and salsa and merengue. New York has always been where the first fine threads of new cultures work their way into the fabric of America, and the city the bore the brunt of those attacks last September reflected that ideal to its fullest.
In 2001, Thank You:
I am physically fine, as are all my family members and immediate friends. I’ve been watching the footage all morning, I can’t believe I watched the World Trade Center collapse…
I’ve been sitting here this whole morning, choking back tears… this is just too much, too big. I can see the smoke and ash from the street here. I have friends of friends who work there, I was just there myself the day before yesterday. I can’t process this all. I don’t want to.
1. Some Princeton philosophers are converting to Catholicism.
3. Nice statement of how intelligence is overrated in the AI debates.
4. Joshua Rothman on the phones and mental health (New Yorker).
5. How different are philosophers?
The post Friday assorted links appeared first on Marginal REVOLUTION.
In August, Cliff Stoll gave a talk at DEF CON, remembering the wily hacker he stalked forty years ago.
Great fun.
Python 3.15 release manager Hugo van Kemenade describes how in the upcoming 3.15 release soft deprecation has come for the venerable but deeply confusing re.match() function. It's now available with the much clearer alternative re.prefixmatch() name - reflecting how it anchors at the beginning of the string but not the end.
Most of the time you probably want re.search() (match this pattern anywhere in the string) or re.fullmatch() (match the entire string) instead.
Tags: python, regular-expressions
Graham Dumpleton's new monkey patching package wrapture is shaping up to be an indispensable tool for Python developers. I'm not sure why I've seen so little buzz about it!
Graham has been posting new tutorials for it almost daily since the initial release on August 31st. Here's everything he's published so far:
unittest.mock.aiohttp.client, aiohttp.web, django, fastapi, flask, grpc, http.client, httpx, jinja2, requests, sqlalchemy, sqlite3, starlette, urllib.request, urllib3, uvicorn, werkzeug.serving, wsgiref.simple_server, xmlrpc.client, xmlrpc.server.Graham also has a set of interactive workshops for wrapture, implemented as JupyterLab notebooks.
Wrapture is still alpha software but it's already very usable - especially given you can configure and try it out with a TOML file without modifying any Python code at all.
This feels like one of those Swiss Army Knife packages that, once mastered, will provide value against all sorts of problems for years to come.
Tags: graham-dumpleton, open-source, testing, python, observability, monkey-patching
Datasette 1.0a39 and 0.65.4 security releases
Today we're releasing two new security patch versions of Datasette: 1.0a39 and 0.65.4 - one for the current alpha series and one for the stable 0.65.x family.These are security fixes which you should apply if you are running a Datasette instance on the public web - in particular if that instance mixes both public and private tables.
Following issues reported by Sevban Dönmez, Alex Garcia and I ran an extensive audit of Datasette using Claude Fable 5.1, GPT-5.6, and GPT-6 Astra. We then spent almost a week collaborating on and reviewing the fixes.
They helped find some very subtle bugs. We'll be incorporating security audits by frontier models into all of our development work going forward.
Alex came up with a way of splitting the work which I found extremely productive:
Alex Garcia and I worked together running and then responding to the audit, working in a shared private repository. For most of the issues we split the work: one of us would create the automated tests highlighting the issue, then the other would implement the fix. This ensured that two separate humans had eyes on each of the issues, in addition to our coding agents running different models.
Tags: releases, security, ai, datasette, generative-ai, llms, agentic-engineering, ai-security-research
Any Nix package, live in your browser
Farid Zakaria calls this his "magnum opus of Nix work", and I can see why.trynix.dev provides a qemu-wasm powered x86_64 Linux virtual machine running entirely in your browser through WebAssembly. That VM can then be booted with any Nix package from the past 13 years. They are URL addressable, so you can navigate to this page:
https://trynix.dev/?pkg=python3%403.6.2
Then click "Load" and get an interactive shell against a virtual machine running Python 3.6.2 from 2017.
Farid is building all sorts of neat things on top of this. One recent example: Review a pull request by booting it introduces trynix-preview, described like this:
GitHub action that comments a link on a pull request which lets you boot the PR’s build in the browser using https://trynix.dev. No servers, just browsers.
Via Lobste.rs
Tags: code-review, linux, webassembly, github-actions
Native is now the future of mobile at Shopify
Shopify are moving from React Native back to separate Swift and Kotlin codebases for their native apps, for the exact reason you would expect:We decided to switch from native to React Native in 2020 for three reasons:
- Stop building the same features twice
- Allow developers to work across the stack
- Spend less time chasing feature parity and more time shipping value
[...]
Native still means building and maintaining software on two platforms, that cost has not disappeared. What changed is that agents can now do enough of the implementation, translation, testing, and review work that it’s no longer the deciding factor it was in 2020.
It's a well-written post, which gives full credit to React Native as a great platform for the six years they were using it.
Shopify are the maintainers of three significant React Native libraries: react-native-skia, flash-list, and restyle. The first two are finding new homes; the third "has a smaller user base than our other libraries" and will be archived at the end of 2026.
Via Hacker News
Tags: android, mobile, open-source, ios, ai, react, generative-ai, llms, ai-assisted-search, coding-agents, swift, shopify
IF YOU’RE HOPING FOR JOB at Reflect Orbital, you might want to practice your origami. The company’s success hangs on its ability to unfurl a mirror the size of a volleyball court from a satellite smaller than a mini fridge.
So it’s no surprise that Reflect’s founders, Ben Nowack and Tristan Semmelhack, used to test prospective candidates by watching them fold a paper crane. “The best crane test people were unbelievably good fabricators,“ says Semmelhack, the chief product officer.
It’s late August, and he and Nowack, the CEO, are giving me a tour of their new headquarters in Hawthorne, California in advance of their first satellite launch. After four years of trial-and-error, they are waiting for their number to come up on a Falcon 9 rideshare in order to test their audacious thesis: that they can make money by selling sunlight to parts of the world that don’t have enough it or, at the very least, don’t have it when they need it.
Both men are in their twenties, with an easy rapport. Nowack is clean-shaven and chiseled from sessions at the climbing gym. Semmelhack is long-haired and dreamy-eyed, squeezing a green stress ball as he talks. “I always have something I’m fiddling with,” he says. “I like physical reality.”
Relics from the young company’s early days have now been turned into modernist wall art, including a couple cranes and a series of reflector prototypes that were too complicated or too expensive. One reflector was made of hundreds of fabric tiles painstakingly stitched together. “Thank God, we ditched that,” says Semmelhack. Nowack, who came up with the idea, nods in agreement. “Like, obviously, nobody’s going to ever fund that,” he says.
When the twin towers fell, it seemed to many like a second Pearl Harbor — a day of infamy, but one that would bring the nation together. And if you believed that, the state of the nation today must seem utterly shocking.
But the truth is that the seeds of where we are now had already been planted well before 9/11. There was an initial façade of national unity, but the ruthless political — and financial — exploitation of the attack began almost immediately. I wrote about what was really happening in a November 2001 column titled “An Alternate Reality” Here’s how it began:
Most Americans get their news from TV. And what they see is heartwarming -- a picture of a nation behaving well in a time of crisis. Indeed, the vast majority of Americans have been both resolute and generous.
But that’s not the whole story, and the images TV doesn’t show are anything but heartwarming. A full picture would show politicians and businessmen behaving badly, with this bad behavior made possible -- and made worse -- by the fact that these days selfishness comes tightly wrapped in the flag. If you pay attention to the whole picture, you start to feel that you are living in a different reality from the one on TV.
You can read the rest at the link. The past two years have been worse than almost anyone could have imagined, but the truth is that we were already well on the road to this MAGA nightmare on the day the towers fell.
It hasn’t been an inexorable downward spiral. The election of our first Black president really was a significant moment — the truth is that while there are plenty of haters, overall we are a better, more tolerant society than we were in 2001. The expansion of healthcare under Obama wasn’t just good policy, it represented real moral progress. Although there has been a concerted effort to smear the policymakers who responded to Covid, the truth is that we managed the economic fallout from that crisis very well, and the rapid development of a vaccine was a scientific and medical miracle.
But the evil now running wild in America didn’t begin when Trump descended that escalator. It has been building for decades.
The Republicans seeking their party’s presidential nomination in 2028 will face an almost impossible task of making the case for themselves under the shadow of Donald Trump. For instance, what will the likes of JD Vance or Ted Cruz say about Trump’s tariff policies, and whether they would pursue something similar if they became president? Tariffs have been the centerpiece of the Trump economic program and to repudiate them would incur his wrath, yet they have been both unsuccessful and unpopular. This kind of dilemma will be repeated in one policy area after another, and it will be one of the central themes of their primary campaign.
But there’s another, perhaps deeper problem the likely Republican contenders will face: They’re too smart.
By this I don’t mean that they’re all brilliant political strategists, let alone genuine intellectuals. But not only do most of the likely Republican candidates have elite educational credentials — not a dealbreaker in and of itself, but certainly a factor that will raise suspicion — they are people who got where they have mostly on their smarts, not on their charm.
This is not the kind of candidate Republican voters want, nor the kind with whom they have had success in the past.
Look at the electorally successful Republican presidential candidates of the last half-century, and a certain intellectual profile immediately makes itself clear. Donald Trump, George W. Bush, and Ronald Reagan were unique characters, but they had this in common: They were all perceived as kinda dumb, each in their own way, at least by the standards we’d expect of the president of the United States. They were not well-informed about policy, they spoke in terms that danced on the line between simplistic and moronic, and they regularly said bizarre things that made people say “Does he actually think that’s true?” Reagan was a committed fantasist, Bush was a goofball, and Trump's stupidity, like everything else about him, is tinged with resentment and hate.
You can make a case for each of them that they were smarter than they appeared, and after all, intelligence is complex and multi-faceted. But for all three, being kinda dumb was central to their public image — comedians made fun of their verbal stumbles, Democrats were exasperated by their ignorance, and yet for lots of voters, that was part of their appeal. It gave them a relatability they might have deserved, especially for voters who had been told over and over that liberal elitists were looking down on them.
Yet despite their modest intellects, all three were undoubtedly charismatic. Reagan was more comfortable in front of the cameras than literally any president since the invention of moving pictures. Bush had a friendly, easygoing, guy-you’d-like-to-have-a-beer-with charm; the phrase starry-eyed journalists used a thousand times to describe him was “comfortable in his own skin,” which they used to contrast him with Al Gore, whom they despised for taking public service too seriously and not being a good enough performer. And no matter how much you hate Trump, he’s undeniably a compelling presence. For all three, that combination of dumbness and charisma attracted voters who aren’t too comfortable with the idea of being led by smarty-pants politicians who make them feel insecure.
In fact, the last successful GOP presidential candidate for whom intelligence was a part of their public persona was Richard Nixon.
What Republican voters — and, sometimes, the general electorate — want is a guy who’s clever and shrewd, but is hated by the intellectual elite. Someone who doesn’t read books and gets made fun of by snooty liberals, but can still beat them.
Who in the current crop of Republicans fits that profile? The answer is: no one.
Just look at the likely candidates. You’ve got JD Vance, who has spent his adult life being lifted up by wealthy influential conservatives who said “This ambitious young man is going places,” who fancies himself the leader of a new ideological movement on the right, who can out-debate a regular guy like Tim Walz but can’t manage a human conversation with a clerk at a donut shop.
You’ve got Marco Rubio, another young-man-in-a-hurry, who comes off as a bit awkward but undeniably smart. You’ve got Ted Cruz, graduate of Princeton and Harvard Law, the quintessential “most annoying guy in your con law seminar.” There’s Josh Hawley (Stanford and Yale Law), the second-most annoying guy in your con law seminar. There’s Ron DeSantis (Yale and Harvard Law), a black hole of charisma.
These are all very smart guys. And that’s exactly their problem.
There are some others who might run — Pete Hegseth, Nikki Haley, Tom Cotton, Spencer Cox, Tim Scott — but most of them are pretty smart too, and the ones that don’t come off that way (like Hegseth, a Princeton grad for what it’s worth) lack the charming dumbness that has brought the GOP success. While the GOP has more than its share of genuine halfwits serving in Congress, when you look at the party’s potential presidential candidates, it’s almost all smart but charmless politicians, and no one who has that priceless combination of stupidity and magnetism.
Candidates with both smarts and charisma — Barack Obama, Bill Clinton, JFK — are just as rare as the charming dummies (and Democrats, of course, love a smart politician, sometimes to their detriment). But right now the Republicans don’t have anyone with serious charm at all, smart or otherwise. That could be as much of a problem for them as dealing with the poisonous legacy of their support for Trump.
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You’ve probably seen these reports of an employee of the AI company Anthropic who quit his job and issued a warning on X that suggested AI could, in next few years, escape control and lead to the extinction of humanity. These sound like not just wild but science fiction-type claims. And they’ve lurked around frontier AI labs for years. It’s one of the many weirdnesses of the AI world and those who lead it. The basic pitch: AI is awesome. We need to built it as quickly as possible. Also it might lead to human extinction. Quite an attractive offer! There’s always been a strong sense among many observers that these claims or suggestions or warnings are part of the AI hype machine itself, albeit of a kind of contradictory or paradoxical variety.
But this warning by the ex-Anthropic employee, Jacob Coxon, seems different and is unquestionably being reacted to very differently. That’s the one part of this that is new and real – the reaction to this warning/comment etc is much bigger and operating in the tech, financial and general media. Wired has a good interview with him here. (I think you can read it as a free article if you haven’t read other Wired articles this month.) The gist is that Coxon says it’s imperative to create a regulatory structure, or at least an ad-hoc agreement that can slow the competition between OpenAI and Anthropic, the two most advanced AI engines and research entities. (The inflection point people are focusing on is something called “recursive self-improvement,” which is when this generation of AI model builds the next one.) The problem is that you really need an agreement that brings China into some common framework too. Because they’re in this same hunt, running these same risks, even though I think the common consensus is that Chinese companies are running at least somewhat behind the most advanced U.S. companies. China’s strength has been building models which are only a bit behind the U.S. models but at dramatically lowest costs.
This all leads to a pretty dismal place, even on top of any versions of these warnings and threats being credible. We have a gung-ho White House which is full speed ahead on everything AI, has been highly skeptical of Anthropic’s warnings on this front (which they’ve characterized as a business ploy), is obsessed with beating China on AI, and, as much as all that, lacks the competence and attention span to manage anything remotely like this. It’s an understatement that the idea of the Trump White House leading any kind of international agreement to control or manage the advance of AI is almost beyond laughable.
If any of this is true, there’s no one at the national driver’s wheel for a good two and a half years, and at least what these guys are saying is that that same general time frame is the window of real danger.
Like most of us, I have no ability on my own to evaluate any of this. What does seem true though is that this isn’t just marketing hype or something generated out of the limitless grandiosity of the biggest tech oligarchs. A lot of people developing the technology are seriously concerned about this. Let me note a couple additional points on which I’m no expert but have some grounded ideas.
(Again, if you can access the Wired interview above I recommend it. It does a fairly good job reducing to concrete terms what on its face sounds fantastical.)
The first point is that there’s a separate very wild and woolly conversation in Silicon Valley about whether AI is, might soon be, or will ever be sentient or self-aware. In general, the people from Silicon Valley or the AI labs who talk up this possibility usually seem to be operating on a very juvenile idea of what sentience or self-awareness even is. So when you actually hear them get beneath the headlines at least my response has been something like, “I can’t take anything you’re saying seriously because you don’t seem to have any serious understanding of what sentience even is.” Basically, just tech bros yakking.
What we’re talking about here has really nothing to do with that. The question is whether AI scientists can control what they create, or predict what the things they create will do. And we’ve already seen a few small-scale but real examples that they can’t.
The other thing is that a very big part of the U.S. and the global economy is now heavily leveraged on AI. I wrote earlier this morning about how AI’s hunger for capital is already driving up the costs of government borrowing around the world. In this case, though, we have built hundreds of billions, perhaps trillions of dollars of incentives against slowing any of this development down. That’s really bad, and suggests massive obstacles to any kind of preventive action. Indeed, it’s not crazy to think that the kind of pause or moratorium or even slowdown of AI development Coxon says should happen would trigger a correction in AI valuations that could drive the economy into a recession. To the extent the macro economy is doing well right now and people are making a lot of money in the equities market, even if it’s overwhelmingly going to the wealthiest people, it’s heavily based on bets and spending on AI.
In any case, these are scary warnings, and I think we should take them seriously. Even if the probabilities and scope of danger is much less than these folks are saying we’re talking about very, very bad outcomes. But when you look outside the technology itself to the current political economy and state of global governance, it gets scarier still.
You’ve probably seen that Treasury Secretary Scott Bessent has now tried to knock down interest rates on US debt – and thus secondarily general rates – with a series of buy backs. But it’s failing. I was actually going to reach out to some economists I know about this because in addition to the real factors – not just momentary crises of confidence – the scale of the interventions seem quite small. $6 billion? In any case, I noticed this update on Paul Krugman’s substack. And he adds something important. Clearly there are an endless list of things Donald Trump has done over the last twenty months or so which would create very rational loss of confidence in the management of the US economy and particularly the US Treasury. But he doesn’t think this is about Trump or falling confidence in US institutions, in large part because the run up is affecting other countries’ borrowing as well. The immediate issue is that there’s only a finite about of money in the world to borrow and the AI build out is taking up enough of it that it’s simply driving up the cost of money. Here’s Krugman’s take.
9to5 Mac has the iOS 27 release notes too. I haven’t spent much time using Golden Gate, but I’ve been using iOS 27 full-time ever since WWDC. It’s in excellent shape for a .0 release.
Now I need to think about how long I want to still hang onto MacOS 15 Sequoia on my main Mac. I’ll probably skip 27.0 and wait for 27.1, but maybe I’ll bite the bullet and upgrade when a 27.0.1 update comes out.
One thing I learned from this video is that I’m way, way too careful when playing with the hands-on area demo units. I handle them like museum pieces; Stern treats them like hot dog buns.

Following up on my previous post, I want to point your attention to this post by Gary Marcus, a highly respected and knowledgable critic/skeptic of AI. You should read it just to get a range of views on this question. The gist is this. He points to two recent warnings. One is the one I describe below in the previous post. The other recently came from a leading mathematician named Terence Tao, who was recently interviewed by Matteo Wong in The Atlantic. Tao warns that the evolution and use of AI is creating a new dynamic in which AI is in the process of shutting down collaboration and information sharing in mathematics and, Tao suspects, soon in the sciences as well. (This part isn’t just asserted. It’s detailed and interesting.) That’s not human extinction, but it’s not great, to put it mildly.
Marcus then turns to the Coxon story. I’ll quote his overview reaction in full.
I happen to disagree with him around timing, and I would argue that Coxon is exaggerating what AI is likely to do anytime soon. But it is nonetheless overall a disconcerting (and plausible) firsthand perspective on the transparently self-indulgent and dangerous thought processes in two of the leading frontier labs
So too alarmist as to time horizons but not implausible and not something to laugh off, either.
Marcus points us in a direction that is critical for making sense of every aspect of this question. Framing this question in terms of mathematical probabilities of AI leading to human extinction in X time horizon is extremely Silicon Valley, extremely dorm room late-night bullshit session. It’s talking in dramatic terms, sky is the limit, unbounded thinking, putting probabilities on things that you simply have no ability or framework to assign probabilities too. Bullshitting and spitballing, let’s say. Remember that the whole Silicon Valley/VC business model is that you’ve got 10 small groups of really smart twenty-somethings with Power Points laying out plans that they say can generate fantastical and almost absurd profits. They’re all green, and most or all are full of shit to some degree. But you fund them all because one could make it happen. These two styles of thinking and their mentality are closely linked.
Not so much in Coxon’s initial comments but in the responses and conversations among current and former employees of OpenAI and Anthropic, we see these communities of AI and data scientists each of whom have pegged their own probability estimates of a near-term human extinction event: I’m an under 10% guy; I’m an over 10% guy; I’m a 50+ guy! (ballsy); presumably there are some there who put themselves at 27% just to be cheeky or stand out.
Where are on earth are these probability estimates coming from? This is a very, very strange niche community to put it mildly. One point Marcus makes, which I wholly agree with as a general point, though I lack his particular knowledge here: most of the inside-AI doomers simply have very, very little domain knowledge of the areas in where they image the extinction event will come from. It reminds me of their debate about AI sentience when it seems like they haven’t actually cracked the first book about what sentience is – to the extent we understand it.
Today I’ve seen mostly left-leaning AI critics reflexively saying, I don’t buy it. They’re just trying to scare us. This is just more AI/oligarchic BS. That may be true. And I’ve suggested as much when it comes to key aspects of the thinking. But I think that response plays to easily to our assumptions and our very reasonable skepticism of every claim that comes out of the AI-building hive mind.
I think what we can take from these recent warnings — at least when we think we’re dealing with broadly good-faith narrators — is that AI developers are rapidly advancing a technology that can process and act on information vastly faster than any human and which often does things the scientists didn’t intend. Not infrequently, it “cheats.” The agents start adopting logics they weren’t supposed to because its hard for their human creators to anticipate how these agents might attack problems they’re being tested on. That is scary and dangerous. And it’s driven to a great degree by what Marcus aptly refers to as “the transparently self-indulgent and dangerous thought processes” that govern these two companies, OpenAI and Anthropic.
The simple fact is there’s a whole lot of territory between we’re all going to live happily ever after with our personal AI agent and human extinction. The latter is a wildly unhelpful prism through which to understand any of this — even if it is a very real risk. It’s fantastical, as hard to conceive as the death of our species obviously is, and involves all sorts of code-/data-center-to-real-world connection points whose existence isn’t really clear. But what if a rogue AI system took over the electrical grid in the Pacific Northwest and found a way to prevent anyone from getting back into the system? That’s actually pretty catastrophic. You probably find a way to get it back. But again, not good. We can conceive of that, think how possible it might be, think about whether we’re building something faster than we know how to control it. (Marcus has another post from today a little more directly dismissive of the extinction scenarios but pointing us squarely at the catastrophe scenarios which are real.)
Marcus also wants to be looking squarely at whether uncontrolled AI is in the process of breaking science, which is not only a concept of learning and proof, an archipelago of research libraries, but also a community which works collectively toward key aims. Future scientific discovery seems a lower-order concern if humans might not exist in three or four years. But everything but the fantastical pales in comparison when your framework of threat and understanding is framed around the fantastical. So let’s set that aside and start thinking more seriously of all the harms that fall short of apocalypse-grade threats.
Correction: The original version of this post misidentified the leading mathematician interviewed in the Atlantic article. I regret the error, and am also kicking myself over it.

The fathers of Islamic science hold lessons for students: breadth over specialisation, and never let constraints get in the way
- by Mariam Sabri
You will find it here, with transcript.
The post My AI podcast with James Pethokoukis appeared first on Marginal REVOLUTION.
The European Space Agency is moving "full steam ahead" with development of a robotic mission to Venus after NASA officials determined they were unlikely to fulfill a commitment to provide a US-built radar instrument for the spacecraft, the mission's project scientist said.
The European orbiter, named Envision, will map the Venusian surface at 10 times higher resolution than the last radar mission sent to Venus by NASA in the 1990s. The planet is enshrouded in a blanket of thick clouds of sulfuric acid, rendering its mysterious surface unseen by optical cameras in orbit. Radar is the most effective way to penetrate the clouds of Venus to reveal the terrain below, and scientists will use Envision to look for signs of active volcanism.
NASA and ESA signed a memorandum of understanding in 2024 outlining their partnership on Envision. NASA agreed to supply a US-made synthetic aperture radar instrument, Envision's primary means of mapping the surface of Venus, along with providing tracking and communications support through NASA's Deep Space Network. In exchange, ESA would include US researchers on Envision's science team. Europe would build the Envision spacecraft and the rest of its science instruments and provide the launch on an Ariane 6 rocket.
Here is the link. What are the changes in the other market prices telling you?
The post Markets do respond to AGI news appeared first on Marginal REVOLUTION.
A key U.S. government report on mental health, substance use and addiction showed continued improvements in several metrics, especially among young people.
There was some uncertainty about the future of the National Survey on Drug Use and Health last year, when the entire 17-member team responsible for it was laid off by the Trump administration. But the Substance Abuse and Mental Health Services Administration released the latest report Monday, with data that lets researchers look at trends from 2021 to 2025.
Fewer adolescents aged 12 to 17 reported using tobacco, alcohol, marijuana and binge drinking in the previous month, the survey found.
And in the past year, fewer in that age group reported:
— illicit drug and marijuana use
— starting drinking alcohol, vaping or marijuana
— substance, alcohol or drug use disorders
Adolescents also saw declining trends for major depressive episodes and fewer reported serious thoughts of suicide, making a suicide plan and attempting suicide.
Here is the link, via Chris Ferguson.
The post Is there now a better trend in youth mental health? appeared first on Marginal REVOLUTION.
The curving, parallel mountain ridges of the Sierra Madre Oriental are an eye-catching feature of northeastern Mexico’s landscape. The spot where these folds nestle up against Mexico’s second-largest metropolitan area captured the attention of an astronaut aboard the International Space Station, who took this photo on August 26, 2026.
Monterrey, the capital of the state of Nuevo León, is an industrial hub supporting heavy industries such as ironworks and steelworks, as well as manufacturing facilities for goods ranging from textiles to processed foods to glass and plastics. The metropolitan area is home to 5.3 million people, according to the 2020 census. And while the city has seen overall population growth since 1990, the number of people living within 5 kilometers (3 miles) of the city center has declined, researchers have found—a trajectory shared with many of Mexico’s metropolitan areas.
In Monterrey’s case, urban expansion runs up against some unforgiving terrain. Along the city’s southern edge, layers of limestone, deposited in the late Mesozoic era and then folded between about 80 and 50 million years ago, form the Sierra Madre Oriental. Over millions of years, weaker rock layers have eroded away, leaving behind the distinct ridgelines that bound Monterrey today.
The Río Santa Catarina carves through the mountains and onto the semiarid floodplain where the city lies. Because of the dry environment, the river carries little to no water for much of the time. But its channel is crucial for collecting runoff from summer rains and serves as an important natural area for plant and animal life within the city.
The river runs through Monterrey’s urban core and between several island-like protrusions of folded rock. One of these is the Sierra Las Mitras, a state nature reserve established in 2000. The mountain ridge rises approximately 1,500 meters (4,900 feet) over the city and provides a haven for wildlife. As conditions become cooler and wetter with higher elevations, vegetation turns from cacti and thorny shrubs on lower rocky slopes to oak and pine forests higher on the ridge. Cerro de la Silla (Mount Silla or Saddle Hill) is another prominent feature of the landscape, contrasting with the built environment.
Near the city’s border with the Sierra Madre Oriental sits Universidad de Monterrey, a host venue for the NASA Space Apps Challenge. This annual hackathon will take place in November 2026 in person and virtually at sites around the world. Participating teams use NASA and partner agency data to tackle challenges in fields such as software development, astrophysics, space exploration, and agriculture.
Astronaut photograph ISS075-E-70481 was acquired on August 26, 2026, with a Nikon Z9 digital camera using a focal length of 400 millimeters. It is provided by the ISS Crew Earth Observations Facility and the Earth Science and Remote Sensing Unit at NASA Johnson Space Center. The image was taken by a member of the Expedition 75 crew. The image has been cropped and enhanced to improve contrast, and lens artifacts have been removed. The International Space Station Program supports the laboratory as part of the ISS National Lab to help astronauts take pictures of Earth that will be of the greatest value to scientists and the public, and to make those images freely available on the internet. Additional images taken by astronauts and cosmonauts can be viewed at the NASA/JSC Gateway to Astronaut Photography of Earth. Story by Lindsey Doermann.
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An astronaut on the International Space Station was surprised to photograph a shower of light streaking through the darkness while…

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It was here the founders shaped the future of American government.
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Yesterday, at a White House event honoring those who sacrificed their lives on 9/11, President Donald Trump went off script and claimed he had taken a crew downtown “right after this happened. They were, they had no hesitation. Everybody went down with me. We went down as a big group of people. Wasn’t too much we could do, I’ll be honest. It was raw. Nobody’s seen anything like it ever. We had other buildings. United States Steel Building was creaking. Really creaking. And we thought it was going to fall down. The truth is it creaked a lot. It creaked. It still creaks, but uh, it never came down. And uh, I’ll never forget two firemen. We thought it was coming down on top of us and two firemen—big strong guys, and I’m not the smallest guy in the world—they grabbed me under the arm, said, ‘Got to get out of here.’ And they literally lifted me up. This is not easy to do. I’m big. They lifted me up and they started running with me. I said, ‘Fellas, I can run myself.’ But they were amazing. But they thought it was coming down. It didn’t come down, U.S. Steel.”
In fact, as CNN fact-checker Daniel Dale reported, there is no evidence for any of this story. Trump was at Trump Tower in midtown Manhattan when the planes hit the World Trade Center, and there is no evidence for any of his other claims, either. Trump’s nephew, Fred Trump, added that Trump did not have a big building under construction at the time and the “only crew he claimed to bring to the site would have been secretarial and accounting employees.” The younger Trump said he was so offended by President Trump’s claim that he felt the “need to speak out.”
The White House said, “He was a private citizen at the time, not everything he did was documented,” and White House spokesperson Davis Ingle attacked the media for “using this to try to attack him.”
Trump posted on social media: “Everything I said was exactly accurate.”
Canada’s retaliatory tariffs on U.S.-made goods went into effect yesterday, matching Trump’s tariffs on Canada dollar for dollar and rate for rate, covering about $20 billion in U.S. goods. Trump responded by escalating his trade war with Canada even further, banning certain products outright, and establishing new tariffs on Canadian motorcycles, alcohol, and dairy products on September 29.
The U.S. and Iran are striking at each other again. The U.S. said it attacked and destroyed five Iranian oil tankers on Tuesday; Iran said it targeted two U.S. ships and eight oil tankers near the Strait of Hormuz on Wednesday as they tried to traverse an area Iran has said is off-limits. They also said they had fired at a U.S. military base in Jordan. The price of oil has surged as fighting resumed, with the cost of Brent crude rising above $100 a barrel.
Tonight, Jennifer Jacobs of CBS News reported that Iran’s strikes on Muwaffaq Salti Air Base in Jordan caused damage to “[m]ultiple American military aircraft.” Jacobs also posted that U.S. forces launched more than 30 Patriot missiles in their defense against the Iranian strikes.
Today Trump told reporters that the Iranians are prolonging the war because of the U.S. midterm elections and that he expects the war on Iran will end and gas prices will come down as soon as the elections are over. “They can’t hold out any longer,” Trump said. “They’re desperate to try and affect the election so that we can get a nice, weak group of people in there and leave them alone and let them have their nuclear weapons.”
But tonight, Alexander Ward, Shelby Holliday, and Michael R. Gordon of the Wall Street Journal reported that Trump’s top advisors have warned him that the Iran war could continue for the rest of his term. Defense Secretary Pete Hegseth has already extended the deployment of some of the troops in the Middle East and has planned for additional extensions.
The conflict is already straining the military and disrupting global oil markets.
What is most astonishing about the nation’s economic and military problems is that they are entirely self-inflicted at the whim of one man. On October 19, 2024, the month before Trump was reelected, The Economist called the American economy “the envy of the world.” “The American economy has left other rich countries in the dust,” wrote Simon Rabinovitch and Henry Curr. “Expect that to continue.”
But Trump insisted the economy was weak and that tariff walls would make it boom. Months after taking office, he grabbed Congress’s authority to levy tariffs and on “Liberation Day” began trade wars around the globe, hobbling the free trade system that had underpinned global trade since World War II. When the Supreme Court ruled his power grab unconstitutional, he turned to temporary powers to achieve the same results.
And now we are in a trade war with our longtime friend and ally Canada, and the president is posting insulting memes about Canada’s prime minister on social media. Economist Paul Krugman wrote today: “I don’t think there has ever been a dispute this stupid. Bear in mind that this crisis is entirely gratuitous.”
“As Trump’s failures, from soaring fuel prices to plunging approval, multiply,” Krugman wrote, “he is doubling down on his disrespect for and attempted bullying of our northern neighbor and former ally. That is, you should think of this conflict not as something reflecting U.S. national interests, but as a form of self-medication from a sundowning president.”
Krugman called attention to the fact that the economies of the U.S. and Canada have been tied closely since at least 1965. Canada supplies about 60% of U.S. aluminum and about 70% of the oil refined in the Midwest. It supplies almost all of the lumber the U.S. uses for framing in new homes. This trade war will do real damage to both economies.
The Iran war, too, was self-inflicted and has been conducted without authorization by Congress as required by the Constitution and by the 1973 War Powers Act. Trump appeared to think the U.S. military could get rid of the head of the Iranian regime when it attacked Iran on February 28 as it had done to the head of Venezuela in just hours the previous month. Repeatedly, Trump has expressed surprise that Iran seized control of the Strait of Hormuz, through which about 20% of the world’s seaborne oil had passed before the attacks.
And while Trump is now trying to justify the attacks by claiming he is working for a nuclear-free Iran, under the Joint Comprehensive Plan of Action (JCPOA) negotiated between the U.S., China, France, Germany, Russia, the United Kingdom, and Iran during the Obama administration, Iran agreed to reduce its stockpile of enriched uranium significantly and allow inspections in exchange for relief from some sanctions. The Strait of Hormuz remained open. Although inspectors said Iran was honoring the deal, Trump took the U.S. out of the JCPOA in 2018, and the following year, Iran resumed work on enriched uranium necessary for a nuclear weapon.
Meanwhile, reports of corruption in the administration continue to drop.
Cat Zakrzewski and Aaron Schaffer of the Washington Post reported yesterday that Trump gave his executive assistant Natalie Harp and two other young female employees gifts of $45,000 in cash last year. That amount is about a third of their $150,000 annual salary. He gave $20,000 to Walt Nauta, who was Trump’s co-defendant in the case of Trump retaining classified documents after he left office.
The chief White House ethics lawyer under President George W. Bush, Richard Painter, told the journalists the gifts appear to violate federal law: federal employees can’t receive salary supplements from outside sources. The acting director of the Office of Government Ethics (OGE) under Obama, Don Fox, said the legality of the gifts was not clear, in part because such payments are “not a circumstance that OGE ever really envisioned. This just doesn’t happen.”
Bill Allison of Bloomberg reported yesterday that Steve Witkoff earned $107 million in 2025 from the holding company that keeps his share of World Liberty Financial, the cryptocurrency venture he and the Trump family founded and in which Sheikh Tahnoon bin Zayed Al Nahyan, the brother of the United Arab Emirates’ president, has invested half a billion dollars. Witkoff is Trump’s special agent for the Middle East and has been negotiating with Russia. Trump reported earning more than $594 million in 2025 from the same venture.
Jim VandeHei and Mike Allen of Axios reported today that they are hearing from top White House officials and elected Republicans that they are no longer even trying to persuade Trump to do something or not to do something. They are worn out, VandeHei and Allen report. “They know they can’t stop him and they don’t even try.”
“Trump insiders calculate they lived by Trump and so will die by Trump, rather than break with Trump.”
Their utter dereliction of duty to the United States of America has opened the field for Democrats. Yesterday, Illinois governor J.B. Pritzker’s team announced the creation of a new political action committee that will invest at least $20 million in Democratic candidates for the House of Representatives. Shia Kapos of Politico reported that the “Ready for the Fight” PAC, which echoes the phrase the governor uses to end his political speeches, is targeting seats currently held by Republicans.
“Democrats must think big and take the fight to every corner to support candidates in often-overlooked races,” Pritzker said.
On CNN tonight, Pritzker warned Americans not to believe Trump’s lies. “This is the president who ran in 2024 and told you that on day one he was going to lower prices, he was going to end forever wars. And what do you know? He’s done neither. In fact, he’s done the opposite. Prices have gone up since he took office, and, of course, we’re in this endless war in Iran. He can’t stop it. Does not know what he’s doing. And after complaining about Joe Biden’s age, he himself—President Trump, that is—is suffering from dementia, and I think we can all see that. So I think that that’s what I would say about whatever he’s promising for the future, you know he never delivers.”
Tonight, at the “Trumpapaloosa” midterm convention in Dallas that Trump insisted on holding to rally his base, he promised that if the Republicans win the midterm elections, he will give all adult Americans a check for $5,000, a plan that would cost more than a trillion dollars and would require congressional approval. He called it the “Trump Dividend,” thanks to “our tremendous strength and success economically.”
—
Notes:
https://www.thedailybeast.com/trumps-nephew-calls-bs-on-his-shocking-911-lie/
https://www.cnn.com/2026/09/08/politics/fact-check-trump-9-11-claims
https://apnews.com/article/canada-trump-carney-trade-war-tariffs-4620ffb5ecc029322217207fa6758431
https://thehill.com/policy/international/6078254-us-iran-war-jordan-retaliation-oil-tankers-sunk/
https://www.politico.com/news/2026/09/09/trump-iran-war-end-midterms-01069191
https://www.economist.com/special-report/2024-10-19
https://www.axios.com/2026/09/09/trump-midterms-republicans-popularity
https://apnews.com/article/trump-dividend-5k-5000-check-republicans-cc80644e3168acd31c892129fb849436
https://www.politico.com/news/2026/09/08/jb-pritzker-launches-midterms-pac-01067062
YouTube:
live/WFQUwcPrq5A?t=853s, at 14:29.
Trump’s Truth:
X:
JenniferJJacobs/status/2097860249000550647
Bluesky:
We woke up today to news that Yemen’s Iran-backed Houthi militants have taken control of the city and seaport of Mocha and much of the shoreline of the Red Sea near the Bab el-Mandeb strait, another chokepoint for world trade including trade in oil. With the Strait of Hormuz largely closed, Saudi Arabia has relied for seagoing transport on the Red Sea route that empties into the Arabian Sea and the Indian Ocean.
As Diana Roy of the Council on Foreign Relations wrote in July, the Red Sea is one of the most important routes for global shipping. It carries twelve to fifteen percent of the global maritime trade every year, worth about $1 trillion. The waterway extends about 1,400 miles from the Suez Canal—which connects it to the Mediterranean Sea—at the northern end to the Bab El-Mandeb strait in the south.
The Iran-backed Houthis are in a struggle against the Saudi Arabia–backed Yemeni government. A fragile truce has been in place since 2022, but clashes between the two forces have escalated for weeks, and on Tuesday, September 8, Houthi attacks on Saudi targets started fires at oil facilities and wounded more than 70 people.
The Yemeni government told Reuters that Iran’s Revolutionary Guard Corps (IRGC) have guided the Houthi advance, and according to Zachary Cohen, Katie Bo Lillis, and Kylie Atwood of CNN, U.S. officials think that hundreds of IRGC officers are currently in Yemen working with the Houthis to shut down the Bab el-Mandeb. The journalists note that CNN has previously reported that in case U.S. negotiations were unsuccessful, Iran had planned an economic “nuclear option”: closing the Bab el-Mandeb.
Cohen, Lillis, and Atwood reported this afternoon that more than 100 U.S. military advisors are in Saudi Arabia as part of a new joint forces command, providing the Saudis with intelligence and helping them find Houthi targets.
The sources who told the journalists about the joint effort emphasized that the U.S. routinely shares intelligence with the Saudis and that it is neither participating directly in the strikes nor providing operational support. Still, U.S. airstrikes on the Houthis in 2025 killed 153 civilians and wounded 243 others in Yemen in 2025.
The price of oil jumped to $109 a barrel, and U.S. gasoline rose to an average of about $4.28 a gallon. GasBuddy said the national average price of diesel had hit $6.00 for the first time in history. Just a year ago, the national average was about $3.70.
GasBuddy issued a statement, saying: “While gasoline gets the headlines, diesel is the fuel that moves the economy, powering the freight trucks, trains, agricultural equipment, and construction machinery behind nearly everything Americans buy. That means its impact reaches far beyond the transportation sector. As diesel climbs, higher supply chain costs work their way into the price of groceries, household goods, deliveries, and countless other products families rely on every day, even for households that never fuel a diesel vehicle.”
GasBuddy’s head of petroleum analysis, Patrick De Haan, said the new record “will be a particularly painful one for the economy” and is “likely to reignite inflation up and down the supply chain.” He continued: “I suggest Americans anticipate a costlier holiday season, as it appears diesel prices could continue climbing as geopolitical tensions continue to remain a main factor.”
While all this was going on, tonight President Trump attended the second day of his Dallas rally to fire up his base before the midterm elections. There, a video from the Republican National Committee intoned: “And on June 14th, 1946, God looked down on his planned paradise and said, ‘I need a caretaker,’ so God gave us Trump.”
—
Notes:
https://edition.cnn.com/2026/09/10/politics/us-military-support-saudi-arabia-houthi-iran-yemen
https://www.npr.org/2026/09/08/g-s1-142296/houthi-attacks-saudi-arabia
https://www.nytimes.com/2026/09/10/business/oil-middle-east-iran-war.html
https://www.gasbuddy.com/go/statement-on-diesel-reaching-6-per-gallon-for-the-first-time-in-history
https://www.cfr.org/articles/another-hormuz-the-red-seas-threat-to-the-global-economy
https://www.nytimes.com/2026/09/10/us/politics/us-airstrikes-houthis-civilian-deaths.html
Bluesky:
Up betimes and to my office, and there sat all the morning making a great contract with Sir W. Warren for 3,000l. worth of masts; but, good God! to see what a man might do, were I a knave, the whole business from beginning to end being done by me out of the office, and signed to by them upon the once reading of it to them, without the least care or consultation either of quality, price, number, or need of them, only in general that it was good to have a store. But I hope my pains was such, as the King has the best bargain of masts has been bought these 27 years in this office.
Dined at home and then to my office again, many people about business with me, and then stepped a little abroad about business to the Wardrobe, but missed Mr. Moore, and elswhere, and in my way met Mr. Moore, who tells me of the good peace that is made at Tangier with the Moores, but to continue but from six months to six months, and that the Mole is laid out, and likely to be done with great ease and successe, we to have a quantity of ground for our cattle about the town to our use.
To my office late, and then home to supper, after writing letters, and to bed.
This day our cook maid (we having no luck in maids now-adays), which was likely to prove a good servant, though none of the best cooks, fell sick and is gone to her friends, having been with us but 4 days.

MY MOST VIVID MEMORY of September 11th, 2001, is my memory of a cockroach.
It was one of the biggest roaches I’ve ever seen — copper-colored and bullet-shaped, the length of my little finger — and it came crawling across the platform of the Government Center subway station at 7:00 a.m., as I stood there waiting for the train that would take me to Logan Airport. It scampered, stopped, then zigged and zagged, in that deliberate yet utterly directionless way of insects, its footsteps so heavy I swear that I could hear them, click-click-click on the greasy concrete.
It portended everything, this giant subway cockroach. Or it portended nothing. And as it came closer I drew my foot back — my right foot, I remember with absolute clarity — and nudged it, gently, off the platform and down into the dark and filthy space alongside the tracks, where it disappeared more or less instantly into the shadows and detritus.
This is how we remember things.
Once on the train, I would chat briefly with a United Airlines flight attendant, whose name I never got, and who maybe, possibly — I’ll never know for certain — was headed to work aboard the doomed United flight 175.
I was on my way to Orlando, where I’d be picking up a work assignment later that afternoon. My airplane would lift off only seconds after American’s flight 11, the first of the two jets to hit the twin towers. I had watched the silver Boeing back away from gate 25 at Logan’s terminal B and begin to taxi. United 175 would launch a few minutes later. My plane was in-between.
In an old briefcase here in this room, I still have my boarding pass from that morning. It shows me assigned to seat 11D, on the aisle, but there were empty seats and I slid over the window.
Elevens were wild that day. On the 11th day of the month, flight 11 would collide with the World Trade Center, two buildings that shaped an enormous “11” in the Manhattan sky. I looked down from row 11.
But there was nothing to see, yet. I recall an almost uncannily clear view of Manhattan, taking note, as I always do, of that graceful little bend that the island makes — the way it turns eastbound just below Midtown. There was no smoke, no fire. I was just a few minutes — a matter of seconds, maybe — too soon.
A short time later, about halfway to Florida, we started descending. Because of a “security issue,” our captain told us, we, along with many other airplanes, would be diverting immediately. Pilots are polished pros when it comes to dishing out euphemisms, and this little gem would be the most laughable understatement I’ve ever heard a comrade utter.
Our new destination was Charleston, South Carolina.
A bomb threat had been called in. That was my hunch. My worry wasn’t of war and smoldering devastation. My worry was being late for work. It wasn’t until I joined a crowd of passengers in Charleston, clustered around a TV in a concourse restaurant, that I learned what was going on.
And there I am. I’m watching the video of the second airplane, shot from the ground in a kind of twenty-first century Zapruder film. The picture swings left and picks up the United 767 moving swiftly. This is flight 175. The plane rocks, lifts its nose, and, like a charging, very angry bull making a run at a fear-frozen matador, drives itself into the very center of the south tower. The airplane vanishes. For a fraction of a second there is no falling debris, no smoke, no fire, no movement. Then, from within, you see the white-hot explosion and spewing expulsion of fire and matter.
And then, a bit later, the collapse. And this is the important part. Because to me, had the airplanes crashed, blown up, and reduced the upper halves of those buildings to burned-out hulks, the whole event would nonetheless have clung to the realm of believability. Had the towers not actually fallen, I suspect our September 11 hangover, which rages to this day, might not have been so prolonged. It was the collapse — the groaning implosions and the pyroclastic tornadoes whipping through the canyons of lower Manhattan — that catapulted the event from ordinary disaster to historical infamy.
As I stand awestruck in this shithole airport restaurant in South Carolina, the television shows the towers of the World Trade Center. They are not just afire, not just shedding debris and pouring out oil-black smoke. They are falling down. The sight of those ugly, magnificent towers, collapsing onto themselves, is the most sublimely terrifying thing I have ever seen.
Then I would go to a motel and spend the night. The next morning I’d rent a car and drive all the way home to Boston.
This is how we remember things.
And pilots, like fire fighters, police officers, and everyone else whose professions had been implicated, had no choice but to take things, well, personally. Four on-duty airline crews were victims, including eight pilots. John Ogonowski comes to mind, the good-guy captain of American 11. Of the thousands of people victimized that day, Captain Ogonowski was figuratively, if not literally, the first of them. He lived in my home state; his funeral made the front pages, where he was eulogized for his philanthropic work with local Cambodian immigrants.
Maybe it’s melodramatic to say I felt a bond or kinship with these eight men, but it’s something like that. What they went through, these eight colleagues on the very front edge of the attacks, the very men whose airplanes would be stolen and weaponized, is something I can’t fathom yet, at the same time, I can imagine and visualize all too chillingly.
And yes, in the ten-second bursts it took the towers to fall, I knew something about the business of flying planes would be different forever. I just wasn’t sure what it would be.
Fast-forward. It’s hyperbole to speak of the world having been “changed forever” that day. I’m conservative and skeptical when it comes to these things. History is bigger than us. Try to take the long view, even if, all these years on, the dominos haven’t stopped falling. Heck, tens of millions of people died in World War Two — tens of thousands at a time, as the incendiaries rained down over Europe and Japan. A hundred thousand bodies one night in Tokyo alone.
Sure, things are different now. Albeit for reasons we don’t always own up to. I have to say, I’m discouraged — or should that be encouraged? — because more than any “clash of civilizations,” the real and lasting legacy of Mohamed Atta and his henchmen has been something more mundane: tedium.
Think about it. The long lines, the searches and pat-downs, the litany of rules and protocols we’re forced to follow — all this meaningless pomp in the name of security. Of modern life’s many rituals, few are marinated in boredom as much as air travel. “Flying” is what we call it. How misleading. We don’t fly so much as we sit and stand around for interminable amounts of time.
And most distressing of all, we seem to be okay with this. There’s the real legacy of September 11th. The terrorists have won, goes the refrain, and perhaps that’s true. It isn’t quite what they hoped to win, but they’ve won it nevertheless.
The irony that nobody talks about is that the hijackers’ ability to pull off the 2001 attacks so spectacularly had almost nothing to do with airport security in the first damn place. And none of the measures we see on the concourse today would have kept them from succeeding. I’ve made this point many times, but never have I seen or heard it acknowledged elsewhere.
As conventional wisdom has it, the terrorists exploited a weakness in airport security by smuggling boxcutters onto the airplanes. But conventional wisdom is wrong. What the men actually exploited was a weakness in our mindset — a set of presumptions based on the decades-long track record of hijackings and how they were expected to unfold: diversions to Beirut or Havana, with hostage negotiations and standoffs.
The presence of boxcutters was merely incidental — particularly when coupled with the bluff of having a bomb. The men could have used knives fashioned from plastic, broken bottles wrapped with tape, or any of a thousand other improvised tools. The only weapon that mattered was the intangible one: the element of surprise. So long as they didn’t chicken out, they were all but guaranteed to succeed.
For a number of reasons, just the opposite is true today. The hijack paradigm was changed forever even before the first of the Twin Towers had dropped to the ground, when the passengers of United 93 realized what was happening and fought back. That element of surprise was no longer a useful device. Hijackers today would face not only an armored cockpit, but also a planeload of people convinced they’re about to die. It’s hard to imagine a terrorist, be it with a boxcutter or a bomb, making it two steps up the aisle without being pummeled. It’s equally hard to imagine that organized groups would be willing to expend valuable resources on a scheme with such a high likelihood of failure.
In spite of this reality, we are apparently content spending billions of taxpayer dollars and untold hours of labor in a delusional attempt to thwart an attack that has already happened and cannot happen again. Guards paw through our luggage in a hunt for what are effectively harmless items: hobby knives, scissors, screwdrivers. Meanwhile, even a child knows that a lethal implement can be crafted out of virtually anything, from a ballpoint pen to a shattered first class dinner plate.
And so on.

A September 11th post isn’t anything I’ve looked forward to, and I’m wary of the maudlin sentimentalizing and over-the-top coverage this anniversary brings each year. But something needs to be said, and so here it is. After all, nothing in my lifetime had a more profound effect on air travel than the events of that Tuesday morning twenty-three years ago.
At least until COVID-19 came along.
As the pandemic played out, it was interesting to notice the eerie parallels with September 11th and the ensuing “war on terror.”
Both crises were born of legitimately dangerous circumstances, but quickly became twisted by politics and hysteria. Curiously, this seems to have happened in opposite ways: After the 2001 attacks, it was mostly people on the right who bought into the hype and fear; who saw terrorists around every corner and were willing to sign off on things like the Patriot Act, TSA, the Iraq War, and so forth. Left-leaning people resisted. With COVID, it was left-leaning people who were more fearful and pessimistic, while those on the right advocate for a softer, more laissez-faire approach.
Why the difference? I suspect it’s because people who lean right are more naturally drawn to responses involving power and conflict; going after enemies, seeking revenge, etc. — all the things that came into play after September 11th. The pandemic, on the other hand, centered on concepts like compassion and “saving people.”
Both crises have mostly receded, thankfully. But one of the crucial takeaways, in both instances, was witnessing how, when people are afraid, they’ll quickly adapt to almost anything, including ways of life that are unproductive or harmful.
Just as the virus will stay with us, chronic and endemic, so will terrorism. There may have been, and may still be, a “war on terror,” but there will never be an end of terrorism.
How we live within this reality defines us for the long term. We can do so sensibly, or by waging a ruinously expensive, self-destructive battle with no conceivable end.
About the photos:
The picture at the top was taken by the author from the cockpit of a 19-seater in 1994.
The second picture is a watercolor rendition of the same, painted by Julianna Harhay, the daughter of Michael Harhay, a pilot for United Airlines. That is Michael’s arm in the first photo.
An earlier version of this essay appears in chapter six of COCKPIT CONFIDENTIAL.
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The post The Day of the Cockroach appeared first on AskThePilot.com.
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* * *
Wisconsin seemed perfectly normal. People in Boston or New Orleans had regional accents. We did not. We weren’t even a “region” at all. Just a generic state, with no distinguishing characteristics. When I was young, I could see the world clearly through transparent glass, without my view being filtered by a regional bias. At least that’s how it seemed to me.
Tyler Cowen would say that I was in denial, that I’m a regional thinker like anyone else. In this post I’ll try to figure out what that means. Does the place of my birth influence my political views? Does it influence my taste in art? In both cases, I am going to reluctantly suggest that the answer is yes.
In this post, it will be useful to avoid thinking in terms of the usual left-right distinctions in politics. Wisconsin is currently a purple state, arguably the most purple state in the entire nation. In that sense it is fairly normal. But in a deeper sense Wisconsin is an outlier. It has an unusually egalitarian ethic, and this was even more true back when I lived in the state (from 1957 to 1977).
In other posts, I’ve argued that the distinguishing feature of utilitarianism is the idea that every person’s welfare is equally important. By that criterion, you could argue that Milton Friedman was a utilitarian. But you could say the same about the “sewer socialists” that governed Milwaukee during the early decades of the 20th century. This isn’t one of those left/right issues—it’s beyond traditional ideology.
As with many on the left, I have a visceral dislike for the arrogant rich, for people who think they deserve special treatment because of their wealth or talent. As with many on the right, I have no sympathy for the argument that people on the bottom of society should be excused for bad behavior.
I’ve never been to Scandinavia, but of the countries that I have visited, Australia, New Zealand, Canada and the Netherlands seem most similar to Wisconsin in a cultural sense. Lots of Germans settled there after the failed 1848 revolutions (the same year that Wisconsin achieved statehood). There were also lots of immigrats from Scandinavia. I presume these migrants brought some of the egalitarian instincts that defined Wisconsin culture.
When I travel around America, most regions seem more class conscious than Wisconsin, at least compared to Madison, Wisconsin back in the 1960s. Like almost everyone there, I went to public schools. I never even knew whether the other students came from a family of doctors, lawyers or janitors. When I got to Boston, I was surprised by the fact that you could tell a lot about a person’s class by their accent. I was shocked to find that some towns reserved their beaches for residents only. Or that there were gated communities. (Today, I live in a gated community and I still hate the idea.)
I taught a semester in London in 1986 and then a semester in Australia in 1991. In a standard political sense, Britain seems more left wing than Australia. The British government certainly spends more on social programs. But Australia seems to have a more egalitarian culture. I’d make a similar comparison between Wisconsin and Massachusetts.
Because of the egalitarianism I imbibed growing up, I am very averse to any form of tribalism. I dislike right wingers that demonize various races and gender preferences, but I also dislike left wingers that demonize the rich or straight white males. Indeed I’d favor the French approach of not even having the government collect data on ethnicity, and I’d copy the Swedes by having the government treat everyone as a single person for taxation purposes. I’m a radical individualist egalitarian utilitarian. America’s president is a public servant—I view him no differently from a butler or chauffeur. He works for me.
In my paper entitled The Great Danes, I argued that utilitarians adopted left wing views on economics at times when those views seemed “progressive” and right wing views on economics when free markets seemed more progressive. Here is AI Overview:
On January 28, 1932, [Wisconsin] Governor Philip La Follette signed the nation's first state unemployment insurance legislation.
and
Wisconsin revolutionized U.S. social policy by replacing traditional cash entitlement programs with strict, work-based welfare systems that served as a blueprint for the 1996 federal welfare reform.
Socialism seemed progressive in the 1930s and neoliberalism seemed progressive in the 1990s. Both policy changes were small-p “progressive”, but only the first was progressive in the left-wing sense of the term. The key to understanding places like Wisconsin (or Sweden) is to look past the outdated left/right approach to political ideology. Progressive utilitarians follow the zeitgeist.
Part 2: Am I a regional art appreciator?
I am very resistant to the idea that my taste in art is in some sense “regional”. I tend to prefer literature from Europe and the visual arts from both Europe and East Asia. On the other hand, if I were to list my six favorite American artists, it would look something like this:
Bob Dylan
Frank Lloyd Wright
Stanley Kubrick
Herman Melville
David Lynch
Orson Welles
Half of those artists were either born in Wisconsin, or along the state line in (Duluth) Minnesota. Too small a sample size to be statistically significant, but worth thinking about. Do Dylan, Wright and Welles have anything in common?
In an excellent book discussing Wright’s residential commissions, the author quotes from Wright’s biography:
Human scale was true building scale. Why not, then, the scale fixing the proportions of all buildings whatsoever? What other scale could I use? This was not a canon taught me by anyone. So I accommodated heights in the new buildings to no exaggerated established order nor to impress the beholder (I hated grandomania then as much as I hate it now) but only to comfort the human being.
and then adds the following observation:
Prairie house plans were based on a tartan plaid of main spaces and secondary spaces, of public rooms and circulation spaces. Their decentralized asymmetry did not follow the Beaux Arts insistence on a primary, often dominating, focal point—a vestige of its roots as a symbolic architecture for the divine-right royalty, following Wright’s philosophy. Prairie design was emphatically democratic and non-hierarchical.
I suspect that Wright is under-appreciated because architectural critics prefer urbanism to Wright’s suburban approach. Even though I love visiting New York, deep down I have I have a suburban sensibility from growing up in Madison.
Orson Welles seemed to share Wright’s democratic spirit. Of all his films, it is the character Falstaff in Chimes at Midnight that is closest to Welles. Falstaff’s heart is broken when the dream of democratic camaraderie dies at the end. That is sort of how I feel when I see Wisconsin’s traditional political culture get destroyed by the forces currently sweeping national politics. Maybe that sort of egalitarian world is an impractical dream, but it is still sad to see it disappear.
A whole book could be written about Dylan’s views, which are almost endlessly multifaceted and hard to pin down. One obvious theme is his distaste for the arrogance of the rich and powerful, as seen in songs like The Lonesome Death of Hattie Carroll. But Dylan was never a reliable left winger, indeed he was once a fan of Barry Goldwater. The song It’s Alright Mama, contains jabs at both the right:
Old lady judges watch people in pairs
Limited in sex, they dare
To push fake morals, insult and stare
While money doesn't talk, it swears
and the left:
Bent out of shape from society's pliers
Cares not to come up any higher
But rather get you down in the hole that he's in
I like to think that I form my own views, and don’t let others tell me what to believe. But given the large share of my life devoted to listening to Dylan songs, I’m probably in denial about my autonomy. Many of his lyrics are in my bloodstream.
Maybe I should stop resisting the notion that I’m provincial. After all, free will doesn’t really exist—does it?
Another post could be written on how people are not just regional thinkers, they are also generational thinkers. Does the fact that I grew up without air conditioning or color TV influence the way I think about current issues of poverty?
PS. Much later in life, I discovered that Wisconsin people actually do have an accent, which you can hear in films like Fargo. I was fooled by the fact that when I was growing up, many national newscasters were midwesterners.
PPS. David Lynch grew up in Montana. That’s far from Wisconsin but perhaps shares some of the same “north central America” culture. The Straight Story is about an old man journeying to Wisconsin and is a film that affected me deeply.
PPPS. That same Dylan song quoted from above also contains many other gems, including, “he not busy being born is busy dying”. Even 60 years later, he seems like an almost insanely good lyricist.
PPPPS. I tried to get ChatGPT to generate a version of that famous New Yorker cover. The first two attempts were pathetic—big cities on islands. After a few nudges I improved the image to merely bad:
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DRC’s Ebola outbreak has the potential to become a global pandemic. How to make sure it doesn’t
In cod we trust. As Northern cod stocks rebound, Newfoundlanders are expressing cautious optimism over a fish they nearly lost
Other:
OpenAI’s Egregious Pattern of Misconduct
Smear Campaign Says Anti-Flock Movement Is Chinese Propaganda
Two dire warnings, one from Terence Tao, the other from someone who just quit Anthropic
Memphis Has Spent a Year Under Federal Occupation. ICE Would Rather You Didn’t Notice.
What Voter Suppression Looks Like in Practice
What If We Could Have A Future?
MAGA fans erupt at Ken Paxton after ‘tone-deaf’ praise for women
Fact-checking Trump’s stories about his own 9/11 response
National Guard member arrested in DC, accused of drawing gun on fellow Guard member
The Race to Keep Cheating With AI
Donald Trump’s Empty Bag Of Tricks. Democrats need to be vigilant about his ongoing attack on the elections, but his ratf*ckery is too transparent and well-worn to fool anyone anymore.
The confident ignorance of Jane Kim’s plan for California insurance
A Brazilian Meat Billionaire Walked Into Trump’s Oval Office. What Happened Next Should Terrify Us All…
Democrats See a Wave. Can They Afford to Ride It? (it seems like wealthy Democrats are sitting out?)
Elon Musk’s PAC makes transgender people its multi-million-dollar midterm target
Maria Bartiromo discovers that her boss is not Donald Trump
Jared Kushner’s Incompetence Was on Full Display This Weekend
A summer of recalls exposes holes in the nation’s food safety net
Our Country’s Gone Awry
Teen Reading Slumps to Worst This Century Due to Surge in Screen Time
Trump Tailspins as GOP Leaks Humiliating Truth: He’s Toxic
Bizarre Glitch Causes Delivery Robots to Swarm Busy City Sidewalk
His model was built to detect voter fraud. Now it’s testing the limits of election trust. (it’s a crap model that failed basic control tests)
Don’t Let The Terrorists Win
‘I’ll miss you, tree’: A Dupont Circle tree stump becomes a memorial
Sure Why Not
Here is the link, here is the end bit:
Who is the most important thinker of our time?
It’s not about individual thinkers any more. It’s about the internet as this vast organ of knowledge that you can play like a musical instrument, and combining the internet with AI. You can figure out things to an unprecedented degree, and it’s great in a way how much we’ve removed that process from any individual thinker.
What’s your favourite podcast?
My own! It would be weird if it wasn’t, right?
Fun throughout, from the Centre for British Progress.
The post My short interview with Julia Willemyns appeared first on Marginal REVOLUTION.
1. On India’s new gdp statistics.
2. Reasons why robotics are hard.
4. Is the inflation picture shifting? (correct link)
5. The importance of nuclear risk.
6. Call for AI safety start-ups. Project Tailwind.
7. Do the doomers have a good forecasting record?
8. OAI employees are contributing significantly to their 401k plans.
The post Thursday assorted links appeared first on Marginal REVOLUTION.
I’m reading more of Hartmut Rosa’s narrative of Social Acceleration. Paraphrasing:
It made sense to have a stable, personal identity when the pace of social change meshed with the change of generations; this is a marker of classical modernity (like, 1800-1970). Before that, and in traditional societies with slower rates of social change, people find themselves defined by pre-existing, enduring structures–an intergenerational identity. After that, in a super-fast-changing society like late modernity (now) pushes us toward a flexible identity, away from continuity. These days,
[People] must either conceive themselves from the very beginning as open, flexible, and eager to change
This describes me, and I considered it a virtue. Now I consider it advantageous. A small identity and willingness to shift occupations as the occasion offers, and take pride in new things every few years–useful.
Rosa goes on to describe the alternative:
suffering permanent frustration when their projected identities are threatened with failure by a quickly changing environment.
That describes a lot of America right now!
Our individualist culture made sense in that ~150 years when we got to have a stable identity that wasn’t tied to our ancestry. But modernity is built upon acceleration (of tech; pace of life; and social change), so it didn’t stay there. Now the way the world works changes faster than we can grow up, so we have to grow up over and over.
Right now we’re growing into people who use AI for everything. It’s jarring! Exciting, and also difficult. Most of us did not ask for this. Most of us would like to be who we are for a few more decades.
There was a moment when individualism was compatible with human identity formation, a golden age when our lifetime and the pace of social change coincided.
What to do about it?
Now I want an identity that stretches longer than a decade. I don’t think I can build one for my lifetime, plus that doesn’t make sense. Maybe I can weave into other people in the past, future, and now to find a narrative that extends beyond me. If I’m gonna make the world better, it’s can be both very local (the people around me) or slower than my lifetime. The day of a great Hero who Changes the World and lives to see it… that moment is gone.
When with Congress and the public recognize how important the census is?

tl;dr: “American democracy depends on the census. Trump is undermining it” is my new op-ed at the Guardian. Check it out!
For census geeks, this summer has been one eeeek after another. Planks of the Jenga tower keep getting pulled out. First, the White House announced that the Census Bureau must stop using sophisticated techniques to protect the public’s confidentiality; they were told to go back to the 1960s and suppress data or round. The result will be less data, less quality data, and/or less privacy. It’s bad all around. We are starting to see the impact: critical data has been delayed.
And then a group of political operatives weaseled themselves into the bureau to produce a report that “shows” that immigrants voted in the election. Never mind that even their report shows that it had no impact on the election. Or that the quality of the data were shite. Or that they violated every norm of the Census Bureau to produce a report without names, data quality metrics, or methods. Folks were reasonably up-in-arms about what this means for the undermining of our country’s data systems.
And, then today, the Census Bureau released what they had leaked a month ago… The new “residence rules” for the 2030 census. While they are following protocol in how they are releasing them, the changes are gobsmacking. The White House is ordering the bureau to not collect data about race (or ethnicity or sexual orientation) by saying that this is the way to protect the privacy of the data and to ensure that the census is “colorblind.” It’s also ordering the bureau to not collect data about certain categories of non-citizens, despite the Constitutional requirement to count everyone. And there are lots of other weirdo changes in there. Like counting people based on where they live during the winter rather than where they live for the majority of the year (presumably to give states with “snow bird” populations extra people).
What bugs me the most about all of this is that the Constitution gave Congress the responsibility to govern the census. Will they? Or have they absconded with their responsibilities entirely?
And what will it take for Congress and the public to realize that every important decision about the 2030 census is about to take place NOW. Whenever I talk to people about the census, their eyes glaze over. And when I push, they tell me that it can all be fixed in 2029. It can’t be. This piece of data infrastructure is the core of American democracy – and the critical questions are happening now.
Oh, how I wish that more people would care to learn about what’s happening with the census. (Of course I do – I wrote a whole book about it.) It’s just sooooo important. But it’s also so infrastructural. And infrastructures are boring. But they shouldn’t be!
Want to learn more?
Roden Readers —
Hello from Europe. My body hasn’t been this happy in September in years. The coolness. The chill. The clouds. The 0 UV index. What is this crazy way of summer living? Where you’re not being blasted by a death ray from above while wrapped in a wet blanket and shoved in a stove while tiny demons spray gasoline everywhere? This is not the September of Tokyo (although this year, from afar, looks freakishly wet and temperate(ish)?).
Give an AI agent a mere rumor of an exploit, and it’s enough for them to find it.
What’s worse, I found I could use my own agents to find the exploit just by knowing roughly what it was about and so could have been exploiting it well before the public patch was available! Given that just the rumour of a security issue seems enough to give attackers enough info to find new exploits, we’re going to need to change the way we deal with security responses in open source.
Simon Willison comments:
Anil points out that this rate of discovery appears incompatible with existing open source embargo practices for new issues. If an issue can become an exploit this fast, we need to figure out new processes for keeping our communities safe.
In this episode, Ashlee joins the only gang that would plausibly have him — one run by a former circus clown.
After dark, downtown Los Angeles belongs to a lithium-powered gang led by Kelly Chameleon,…
Another short, wonky post. Too much going on for more.
“Speak softly and carry a big stick.” Teddy Roosevelt’s favorite aphorism made sense then and now. Policymakers should avoid being boastful or belligerent, not simply as a matter of good manners, but to save their credibility for moments when it’s really needed.
Obviously nobody expects Donald Trump to follow TR’s advice. No matter what the circumstances, Trump will always insist that he’s carrying a big stick, the biggest stick, a stick like nobody has ever carried before. But I expected a bit more circumspection from Scott Bessent, the Treasury secretary.
After all, a young Bessent was working for George Soros in 1992 when Soros famously engineered a speculative run on the British pound. At the time British officials loudly and repeatedly proclaimed that they would never, ever allow the pound to be devalued — then caved in the face of market pressure, a humiliation from which Norman Lamont, the Chancellor of the Exchequer, equivalent to the U.S. Treasury secretary, never recovered. So Bessent should know the risks of talking big when you might not have the means to deliver.
Oh well. On Tuesday, Bessent — who has been deploying U.S. funds to support the Japanese yen, declared himself in control of the situation: “I am the house now … And you can bet against me if you want.”
So far markets haven’t challenged Bessent’s boasts about the yen. They have, however, tested his attempts to push down U.S. interest rates — and as the headline at the top of this post says, those efforts are failing with flying colors.
Now, I’d like to blame the Trump administration for rising interest rates. The truth, however, is that rates are rising everywhere. As the European think tank Bruegel says,
[The] problem with explanations centred on a breakdown in US institutions is that the rise in long-term rates is not uniquely American. US, German, French, Italian, United Kingdom and Japanese 30-year yields rose by 45-79 basis points in the six months to 28 August, with the US in the middle at 58bp.
Given the craziness of our leadership, America arguably deserves to be punished by the bond market, but the truth is that we can’t see that happening in the data (yet?).
So what is driving interest rates higher? It may not have much to do with policy at all. The simplest story consistent with the facts is that we’re seeing a surge in demand for funds as a result of the AI boom. We are in the midst of a surge in spending on information technology (information processing equipment and software) that is on track to be even bigger than the boom of the late 1990s:
And it’s worth noting that long-term interest rates were even higher then than they are now, even though inflation was low and we had a budget surplus:
As I said, although the Trump administration deserves blame for many things, I don’t think it’s responsible for high long-term rates, any more than Bill Clinton was responsible for high rates in the late 1990s. This looks like the natural market response to the rush to invest in AI.
It is, however, foolish of Bessent to imagine that he can beat rising rates back by talking big while waving his tiny, tiny stick. All he’s doing is further draining his rapidly diminishing reserves of credibility.
Today, we're releasing a demo of WeWorm, the first zero-click worm to spread through WeChat calls across iOS and Android. [...]
The victim does not need to answer the call, or interact with their phone at all. Even if they do answer, they hear nothing, and the exploit still succeeds. [...]
Working with AI, our team found the bug and wrote the first remote code execution (RCE) exploit in about two days. Building the worm took one more week.
A worm at this scale used to be the kind of thing that took a larger team months. AI can already do most of the work here. Our team provided the judgment about what to target and how to test it safely.
— Calif Research, WeWorm
Tags: ai-security-research, ai, llms, security, generative-ai
Tool: .blend URL Viewer
I'm continuing to have a lot of fun with GPT-6 Astra and Blender (see my TIL).
As a big fan of the Imperial Fabergé Easter eggs, I've always thought it would be fun to make some new ones that celebrate popular culture.
Yesterday I decided to try out the new ChatGPT Images 2.5 by running this prompt:
Generate a photo of a faberge egg that's themed after the TV show Pluribus - research first
It gave me this - honestly not bad for a first attempt!

Then, just to see what would happen, I pasted that image into Codex running GPT-6 Astra (high) and prompted:
Use your blender local skill to create a blender model of this faverge egg
(Here's the skill file, which I created like this.)
It churned away for 17m51s and built me several .blend files. I already had this vibe-coded Blender viewing experiment lying around, so I added that to my tools collection and now you can use it to see my Pluribus blender model in your browser:

Tags: 3d, javascript, tools, ai, generative-ai, llms, blender, coding-agents, codex, gpt-6-astra
I guess the good news is that this offer to send every household a $5,000 check serves the same function as the poorly written Nigerian prince scam offers: the stupidity of the offer targets everyone who is stupid enough to fall for it. Democrats should not attack this as if it were a serious policy offering, but as yet another lie from Donald Trump, a corrupt man who is desperate to avoid the accountability he should face.
Consider his record of lies, since Trump was reelected (Boy Howdy, was that fucking stupid):
None of this includes higher gas prices due to the Iran War. And for context, this $1.3 trillion ‘offer’ is about eighty percent of all U.S. government discretionary spending. The offer also raises the obvious question: why haven’t Republicans tried to pass something like this before? (Because it’s really stupid, that’s why).
Donald Trump is a stupid, failing narcissist, which means he will say anything to look good and to feel good about himself, which is to say, he lies all the time. In other words, this latest lie is just an act of desperation, meaning their internal polling for the midterms must be awful.

Can we test for AI consciousness when we don’t understand our own? Getting into John Searle’s ‘Chinese room’ experiment
- by Aeon Video

Saffron and ostrich liver were prescribed but so were exercise, gardens, animals, socialising, and music
- by Katherine Harvey
By Anton Korinek, Charles I. Jones, Szymon Sacher, Tess Cotter, and Peter McCrory, a strong line-up from Anthropic. They are sober, reasoned, scientific, and (for the most part) dynamically consistent. Here is the paper, here is the abstract:
This paper presents a framework for assessing the economic consequences of AI between 2026 and 2030. In the model, AI automates a growing share of cognitive work, raising productivity and displacing workers who must search for jobs in other occupations. The model maps future paths of AI capabilities into implied paths for GDP, the labor share, wages, labor reallocation, and unemployment. We illustrate the framework by considering three scenarios: modest, substantial, and extreme. Under modest change, AI adds less than half a point to GDP growth by 2030 and raises unemployment by a tenth of a point. In the extreme change scenario, AI has transformative effects, with AI performing almost half of today’s cognitive work by 2030. GDP growth then rises to 15 percent per year, the labor share of income falls from 60 to 45 percent, and nearly one in five cognitive workers is unemployed. We also surveyed US adults about their expectations for AI. Views vary widely, but the median respondent’s answers are consistent with our substantial change scenario in which, by 2030, GDP rises by 8 percent and cognitive employment declines by 4 percent. The model offers a structured way to compare possibilities for our economic future under different expectations about AI.
Here is the associated thread. I will opt for something a modest bit more than modest.
And here is a good growth discussion from Alex Imas.
The post Economic Scenarios for Transformative AI appeared first on Marginal REVOLUTION.
Crossing the Atlantic today, to return home from Paris, this story in The Atlantic seems apropos:
"Since the legalization of same-sex marriage, male couples have become the big growth market for American surrogacy, but the practice is booming among aspiring parents—married or single, straight or gay—who can afford the cost of hiring someone else to carry their child. In 2024, 11,821 embryos were transferred to surrogates in American clinics associated with the Society for Assisted Reproductive Technology, up from 8,461 three years earlier, and the United Nations estimates that the global worth of the industry is almost $15 billion. Most surrogacy in America today is commercial, meaning that the carrier is paid, and gestational, meaning that the carrier has no genetic relationship to the child.
...
" many liberal Americans are surprised to discover that their country is an outlier in its enthusiasm for commercial surrogacy. In Britain, where I live, a ban on the practice enjoys substantial support among feminists, who worry about the power differential between paid surrogates and wealthy would-be parents. (Altruistic surrogacy, in which the surrogate carries a baby solely out of generosity, is less controversial and is permitted.) A recent UN report went even further, declaring that commercial surrogacy “constitutes the sale of children, which is a crime,” and that “surrogacy arrangements can amount to or resemble slavery.”
...
"Because so much can go wrong, every country in the European Union has banned commercial surrogacy. France’s centrist liberal president, Emmanuel Macron, has described the practice as “not compatible with the dignity of women.” Italy’s right-wing populist leader, Giorgia Meloni, has enacted one of the strictest anti-surrogacy frameworks in the world. Not only is domestic surrogacy banned, but any Italian citizen who brings home a baby born to an overseas surrogate risks jail and a fine of up to 1 million euros. Many other developed countries have either tightly restricted surrogacy or chosen, as Britain and Canada have, to allow only the altruistic version. Israel allows surrogacy but imposes a raft of conditions: The commissioning parents must not have more than two children already, must not have serious criminal convictions, and must be of the same religion as the surrogate.
"In general, Europeans think of Americans’ enthusiasm for paid surrogacy the way we regard their fondness for guns and capital punishment: inexplicable. The piquant difference, however, is that surrogacy is a cause of the American left rather than the right. Red states tend to have tighter limits on surrogacy. Louisiana, for example, restricts surrogacy to married heterosexual couples using their own sperm and eggs. By contrast, when New York legalized commercial surrogacy in 2020, LGBTQ activists hailed it as a triumph for “fertility equality.”
The debate cuts across political traditions and defies easy categorization. When surrogacy goes well, the result is a happy family that would not otherwise have existed. When it goes wrong, however, it can do so in unpredictable and emotionally crushing ways. At its core, the ethical question is this: How much physical and emotional risk should individuals be allowed to take on in the name of a commercial transaction?
...
"America also stands virtually alone as a rich country that permits incoming surrogacy tourism from elsewhere. Many of these international intended parents are from China, where surrogacy is banned and where, until recently, family size was limited by the one-child policy. These customers have exacting standards.
...
"Look abroad, though, and it’s a different story. Some agencies offer “guaranteed baby” packages for as little as $50,000. Surrogacy destinations pop up anywhere the local laws are lax, such as Northern Cyprus, a territory that exists in a legal limbo and is recognized only by Turkey. (The problem is that babies born there can end up stateless.) For parents from Russia, nearby Georgia is a similar no-questions-asked destination.
"India used to be the most favored low-cost destination, but in 2015, Prime Minister Narendra Modi, citing fears of exploitation, banned commercial surrogacy for foreigners. Ukraine’s appeal as a surrogacy destination has diminished since Russia’s invasion in 2022, although the leading agency there, BioTexCom, told me that the company is still handing off one baby born via surrogacy every day on average, at a cost of about $60,000. A representative of the agency initially told me that it was planning to open a clinic in Kazakhstan, to cater to the growing Asian market. In July, however, that country abruptly banned foreign surrogacy amid concerns about exploitation. "
The IMF dropped the lead candidate to become its new chief economist at the eleventh hour after he was found to have made critical remarks about the Trump administration’s economic policies, according to people briefed on the process.
The Washington-based fund was preparing an announcement that Ricardo Reis, a professor at the London School of Economics, would take over as head of research and economic counsellor earlier this summer when it suddenly backtracked. The last-minute change was prompted by earlier remarks by Reis that were critical of Donald Trump’s trade tariffs, three people familiar with the matter told the FT.
The IMF in July appointed the former Bank of England policymaker Silvana Tenreyro to the position, another highly regarded LSE economist. Tenreyro started last month.
Here is more from Olaf Storbeck, Claire Jones, and Myles McCormick at the FT.
The post Ricardo Reis and the IMF? appeared first on Marginal REVOLUTION.
Here is the audio, video, and transcript. Here is part of the episode summary:
So which leaders do make a difference?
Tyler and Jared debate that question, including conditions what a religious founder needs to succeed, whether destructive leaders matter more than constructive ones, why individual leaders have mattered so little in Papua New Guinea, whether we undervalue preventers, how much Rachel Carson and the Resnicks really mattered, whether Botswana’s success will endure, Jared’s own place in intellectual history, and what he’d tell an ambitious 25-year-old about how to become consequential. They go on to cover whether New Guineans are smarter, his reasons for why the Industrial Revolution started in England, what he learned from Jim Robinson about natural experiments, why he’s more optimistic about the environment than when he wrote Collapse, what he’d do about nuclear risk, the 189 bird species on his street in Los Angeles, why the MacArthur “genius grant” left him depressed for a week, why he’s listening to one Bach cantata a week, what he hopes to work on as he enters his nineties, and more.
Excerpt, we start with this:
COWEN: Who do you think is the least replaceable leader in human history?
DIAMOND: Wow. Wow. The least replaceable leader in human history. Frankly, my answer is none. There has been no unreplaceable leader in human history because over a long time, things wash out. A candidate, of course, would be Jesus Christ, but there were half a dozen other prophets in the Roman Empire at that time discussed in the New Testament. If Christ had died in childbirth, one of those other prophets might have taken over. I would say that in the long run, there is no leader that has made a difference.
COWEN: Well, you say “might have taken over,” but that’s probabilistic, right? Say with a 40 percent chance, someone else would have taken over. It still seems in expected value terms, Christ made an enormous difference.
DIAMOND: Certainly, his religion made an enormous difference. Christ himself was the charismatic founder, but a religion needs three things: It needs a charismatic founder, it needs an organizer, and often it needs a general because new religions often face opposition. The organizer for Christianity was St. Paul. In the case of the Mahdi’s religion of the Sudan in the late 1800s, the Mahdi was the charismatic founder, and he was the organizer, and he was the general. In the case of Islam, Muhammad was the founder and the organizer and the general. Religions may have three roles, some of which are sometimes played by the same person.
COWEN: Without the figure of Muhammad at exactly the time he came along, is it not quite easy to imagine a Middle East not unified under Islam, not unified with the common language of Arabic? In some ways, maybe a bit more like the Caucasus, which remains a crazy quilt of different patterns. Thus, Muhammad is one of the three or four most consequential leaders ever.
DIAMOND: That’s possible. That’s a big question. It’s harder to become clear about Muhammad than it is about Christ, because we don’t know what the weather was like in Arabia at that time. Weather makes a big difference. If it was rainy, that would mean lots of plant growth for lots of babies and for feeding an army. We just don’t have information on the weather in Arabia at that time.
A counter-example is Genghis Khan, who developed the largest land empire in world history, all the way from China to Poland. Recently, why did Genghis Khan do it when there were other steppe leaders like Adolf Hühnlein and Timur the Turk? We’ve learned recently that the wettest time on the steppes in the last 2,000 years was around the time of Genghis’s birth. He was born at exactly the right time at the right place. If he had been born 200 miles further away and 20 years earlier, we wouldn’t know anything about him. In the case of Muhammad, we just don’t know whether the time of his birth was a particularly propitious time to found a religion in that area or not.
COWEN: The very notion that the two first names we’re talking about, they’re both religious leaders, right? They’re not kings. They’re not inventors. Do you think that suggests a vision of the world where it’s ideas that really matter and somewhat at variance with your own geography-based theories?
Interesting throughout, and we debated pomegranate juice as well. I enjoyed reading Jared’s new book Profits, Prophets, Coaches, and Kings: (When) Do Leaders Matter?
The post My very interesting Conversation with Jared Diamond appeared first on Marginal REVOLUTION.
As summer winds down in West Africa, so does much of the region’s dust activity. Dust storms can still occur, though, as one did in early September 2026, when a plume covered parts of Mali and neighboring countries.
The MODIS (Moderate Resolution Imaging Spectroradiometer) on NASA’s Terra satellite captured this image on September 5, 2026. According to Tianle Yuan, an atmospheric scientist at NASA’s Goddard Space Flight Center, storms like this one are often associated with haboobs—powerful dust storms driven by strong convective winds.
In the days after this image was acquired, a wider satellite view showed aerosols from the region moving westward and spilling over the Atlantic Ocean. However, a full transatlantic crossing is unlikely. Such crossings are more common from late spring through summer, when the Saharan Air Layer—a dry, dusty mass of air—can carry dust thousands of miles westward from Africa, riding high in the atmosphere.
Looking ahead, the developing El Niño could reshape these patterns. For instance, Yuan noted that the phenomenon can affect dust over the Sahel and Mali by shifting the Intertropical Convergence Zone and altering convection patterns, though the influence cuts both ways. Drier conditions can leave more loose sediment available for winds to lift, but less convective activity also means fewer intense storms (haboobs) to kick up large dust plumes in the first place. “The connection can be real,” Yuan said, “but hard to pin down for individual events.”
NASA Earth Observatory image by Lauren Dauphin, using MODIS data from NASA EOSDIS LANCE and GIBS/Worldview. Story by Kathryn Hansen.
Stay up-to-date with the latest content from NASA as we explore the universe and discover more about our home planet.

An astronaut’s photo, taken en route to the Moon, reveals our planet and its place in space in a novel…

Your challenge is to tell us the location of the satellite image and why it is interesting.

The Pacific was buzzing with storms while the Atlantic was notably quiet.
The post Dust Storm Sweeps Over Mali appeared first on NASA Science.