SpaceX conducts 13th Starship test flight

Starship Flight 13 liftoff

SpaceX launched Starship on its 13th suborbital test flight July 24, correcting some of the issues seen on the previous flight while deploying functioning satellites for the first time.

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ULA deals with financial challenges caused by Vulcan grounding

United Launch Alliance’s corporate parents have guaranteed a loan to the company as it addresses “financial challenges” caused by the grounding of its Vulcan Centaur rocket.

The post ULA deals with financial challenges caused by Vulcan grounding appeared first on SpaceNews.

LatConnect 60 Unveils Proprietary AI Capabilities Following Growing Indo-Pacific Defence Interest in SWIRSAT

latconnect 60 logo

PERTH, Australia – 24 July 2026 – LatConnect 60 (“LC60”), an Australian satellite Earth observation and AI company, today unveiled a proprietary intelligence-fusion capability that leverages the latest advancements in […]

The post LatConnect 60 Unveils Proprietary AI Capabilities Following Growing Indo-Pacific Defence Interest in SWIRSAT appeared first on SpaceNews.

The Talk Show: ‘A Scam Held Together With Patriotism and Golden Paint’

Quinn Nelson returns to the show to discuss OpenAI’s ChatGPT/Codex “native” app migration fiasco, Siri AI in Apple’s OS 27 betas, MacOS 27 Golden Gate, and the hottest new cell phone of the year, the Trump T1.

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 ★ 

Live Coverage: SpaceX Falcon 9 to launch Starlink satellites from West Coast

File photo of a Falcon 9 fueled for launch at Vandenberg Space Force Base in California. Image: SpaceX.

A SpaceX Falcon 9 is scheduled to launch from the West Coast Saturday, carrying another batch of satellites for the company’s Starlink internet service.

Liftoff from Vandenberg Space Force Base in California is scheduled for 8:51 a.m. PDT (11:51 a.m. EDT / 1551 UTC). The Falcon 9 will take a southerly trajectory on departure from Space Launch Complex 4E, as it targets an 97-degree inclination orbit.

Spaceflight Now will have live coverage starting about 30 minutes prior to launch.

The Falcon 9 first stage booster, launching for an eighth time, will land on the droneship, ‘Of Course I Still Love You’, stationed about 380 miles downrange in the Pacific Ocean. The booster, B1100, previously launched the NROL-105 mission for the US government spy satellite agency and six previous Starlink missions.

Deployment of the 24 Starlink V2 Mini satellites from the Falcon 9 second stage into a 168 x 160-mile orbit is scheduled to occur just over an hour into the mission.

The Starlink 17-51 mission will be the seventh of eight planned Falcon 9 launches this month from Vandenberg. SpaceX’s West Coast pad has become the company’s workhorse launch facility in recent months as it focuses on Starship preparations in Florida. By comparison, four Falcon 9 missions have flown from Space Launch Complex 40 at Cape Canaveral in July so far and one more is planned.

New WSJ Article Paints Trump in ‘Downfall Video’ Type Scenes in the Oval

The Journal has an article today about the increasing unreality of the strategy, if one can call it that, the U.S. is using to approach Trump’s war with Iran. The headline tells the story: Trump is Losing Patience Over an Iran War with No Clear End in Sight. The article appears to be based on accounts from various advisors who’ve been present at planning meetings with Trump. It’s filled with quotes about how he’s out of patience, mad, fed up, has lost confidence in diplomacy, etc. One advisors says he’s moved into “revenge mode.” He’s telling advisors he thinks he can “break the Iranians’ will through an aggressive bombing campaign.”

A constant through-line in the article (and based on this account of Trump’s private White House rants) is that the Iranians can’t be trusted and that Trump keeps making deals with them that they simply break. I certainly don’t see the Iranian government as very trustworthy either. But this whole set of claims is a fantasy. Trump has never had any agreements or deals with the Iranians. What he’s had is a series of notional ceasefires in which nothing of substance or consequence is actually agreed to — you might sum them up with the famous Bill & Ted’s maxim to “be excellent to each other.” The point of these deals has been to calm international oil markets and give Trump space to moonwalk away from his totally self-inflicted debacle. But since these ceasefires are only “deals” to begin negotiations the actual war aims and demands of each side eventually seep through. Then they go back to fighting. Each deal really amounts to a temporary or contingent U.S. surrender. Trump needs them to calm oil markets and lower the U.S. price of gas. Iran wants it to consolidate its gains and get a break for aerial bombardment.

As I’ve argued too many times by now Trump lost this conflict in its first days. Everything since then has been his struggle to deny that reality, either with bogus “deals,” more bombing or various threats. Indeed, in recent days, while Trump rants and continues bombing raids, it’s Iran which is opening meaningful new fronts in the conflict. Having the Houthis (an Iranian proxy force) menace the Red Sea sea lanes is tightening the stranglehold Iran has with it’s blockade of the Strait of Hormuz.

If we take these internal accounts at face value — not at all a certainty — it seems like Trump isn’t getting honest accounts of what his aides are negotiating. (The rapid turnabout on his Saudi nuclear deal lends weight to that possibility even if they are different negotiations.) You’ll remember that during the lead up to the signing of the “MOU” the U.S. side was claiming that Iran was making side promises to absolutely definitely shut down its nukes program. It just wasn’t willing to put it in writing. End the war and we’ll totally do it, the Iranians were purportedly saying.

Whether these were straight up Iranian lies, wishful thinking by the U.S. side, or just happy talk Kushner and Witkoff were telling Trump almost doesn’t matter. If you believe something like that you deserve to be lied to. But in addition to dragging the country through months of war to avoid accepting his own failure, Trump seems to be coming up with new theories of betrayal within the negotiations themselves. Diplomacy failing; the Iranians lying, etc.

I saw a clip of Sen. Ruben Gallego (D-AZ) saying that of course diplomacy is failing because he’s got his doofus son-in-law Jared and Steve Witkoff handling the negotiations on the other side of the table from seasoned Iranian diplomats who’ve been negotiated with on the nuclear issue for decades.

Of course, they’re morons. They’re also corrupt. But as much as I appreciate the gotcha it’s actually misplaced. Effective war diplomacy can get you the best and most creative agreement that the circumstances warrant. But that last part is key. Kickass diplomacy is never going to get the side that won the conflict to agree to a deal in which they lost. But that is essentially what’s being asked of the diplomacy here.

Of course, much as he flounders Trump still controls the most powerful military in the world. He might be able to break the Iranians’ will with a ground invasion and a sufficient number of war crimes. But that means doubling or tripling down on a war that is already hugely unpopular and driving fuel prices through the roof. For all Trump’s bluster he almost never does something like that when the threat to his own popularity is so straightforward. But he doesn’t have any other way out.

★ Regarding Ad Blockers and Daring Fireball

Following up on the previous item today, re: content blockers and ad-blocking, I ran into a weird situation a few weeks ago with my column “John Ternus Should Reverse Apple’s Slide Down the Advertising Slippery Slope”. That article contains this sentence, in Markdown:

And -- at this writing, still "coming soon" -- Apple is
launching [ads on Apple Maps][🗺️].

[🗺️]: https://ads.apple.com/maps

The problem is that anyone reading that article in NetNewsWire saw it rendered like this, with the words “ads on Apple Maps”1 omitted:

Screenshot of article text from NetNewsWire.

It looks like I forgot to finish writing that sentence. But I did. NetNewsWire simply omits the hyperlinked words. After a few readers reported this, I immediately suspected the problem was the “ads.apple.com” domain. I’ve never linked to that domain before, and many ad blockers just block any domain that starts with a domain prefix like ads.*.

And that’s exactly what the problem is. I had no idea that NetNewsWire filtered any content whatsoever (and I sort of think it shouldn’t), but DF reader Antonio Germano searched through NetNewsWire’s open-source code and found it in the core.css file, line 49:

38  /*Block ads and junk*/
39  
40  iframe[src*="feedads" ],
41  iframe[src*="doubleclick"],
42  iframe[src*="plusone.google"] {
43      display: none !important;
44  }
45  
46  a[href*=".ads."],
47  a[href*="feedads" ],
48  a[href*="doubleclick"],
49  a[href*="//ads."],

The culprit identified, I dutifully pinged my friend Brent Simmons to report the problem. But then I had to decide what to do about it. I have no idea which feed readers are being used to read Daring Fireball’s feeds, but NetNewsWire is surely one of the most popular, and probably the most popular. It’s the feed reader I use personally. I can’t change the contents of NetNewsWire’s core.css file, so I can’t keep NetNewsWire from stripping out words that link to Apple’s ads.apple.com domain. What I could do is not link to ads.apple.com, like, say by changing my link from ads.apple.com/maps to a shorten-and-redirect URL like bit.ly/4wmXFSE that points back to Apple’s original URL.

But I didn’t do that. I don’t like playing whack-a-mole to work around bugs in other software. I have enough trouble fixing my own mistakes. I also don’t like the idea of showing everyone a “Click it and find out where it actually goes” mystery URL from Bitly rather than the direct URL. It’s a general principle thing, and also a much better policy for links that are meant to last for decades.

What I really don’t like about NetNewsWire’s ad-blocking here is that it just omits the linked text. It doesn’t remove the link but leave the words; it removes the words that are hyperlinked to the blocked domain. I’ve run into this with other content blocking extensions. For example, the Banish extension for Safari, which I recommended back in 2022. At some point a year or two ago, Banish started blocking links to Apple’s App Store domain, and it did so by removing the words that link to the App Store. That’s crazy. I linked to the App Store in my own post recommending Banish, which means if you have Banish installed and read that post, you won’t see the headline of the post (nor be able to following the link). I think there are other content blockers that do the same thing with text that links to the App Store.2

So what do I do about that? Do I stop linking to the App Store? That’s dumb. Do I create custom URL redirects for every single link I make to the App Store? That’s work I don’t need or want to do, and adds a layer of abstraction that confuses everyone who isn’t using a content blocker with such a stupid rule. So I just ignore it. But that means an untold number of readers, who are using such content blockers, are just missing words in my articles whenever I link to the App Store. Well, so be it. Ideally, content blockers “just work” — blocking only things you want blocked, never things you don’t want blocked. Nothing is perfect however. What’s pernicious about blockers that remove the actual words that link to certain domains is that that’s not expected behavior. From the reader’s perspective, it really just looks like an editing error on the part of the website, not a content blocker with an overzealous pattern-matching rule.

Ultimately, though, when you install a content blocker extension, you take responsibility for any overzealousness in what they block.


Let me use this opportunity to make a small personal request. The display ads on Daring Fireball are unobtrusive and limited to one per page. They are also entirely private, and always have been. There not only are no cookies or JavaScript that attempt to track you, but the ads themselves are served from the daringfireball.net domain. I turn down advertisers who request to serve images (or “tracking pixels”, which are just invisible images) from their domains. (Such requests are infrequent, thankfully.) I don’t display the ads in between paragraphs mid-article, a common practice that to me is disrespectful both to the writer and reader. In short, I try to keep the ads on Daring Fireball not merely unobjectionable, but something that actually adds to the site. I actually like the ads in certain high-quality print magazines, like The New Yorker. My goal for the ads on DF is for them to be like that.

In short, I hope they’re the sort of ads readers don’t want to block. I’m pleased to say that most of the ad-blocking content blocking extensions I’ve personally tried do not block ads on Daring Fireball by default. In other cases, they do, but it’s easy to adjust the per-domain settings to allow them. In the previous post, I recommended uBlock Origin Lite (free, a bit complex) and Magic Lasso (paid, much simpler). Magic Lasso does not block ads on DF by default. I don’t remember what uBlock Origin does by default, but it’s trivial to change it to allow them.

If you use an ad blocker and it currently blocks the ads on DF, I humbly ask you to consider taking a moment to tweak the settings to permit them. If you are the developer of an ad blocker, I ask you to consider allowlisting Daring Fireball by default.

If you are a reader and you really do want to block DF’s ads, please, go right ahead. I find that an odd mindset, but it’s your web browser and your call. No hard feelings. (Please further note that I have no JavaScript code that attempts to detect whether you’re blocking DF’s ads in order to nag you.)


  1. I omitted the Markdown creating a link on the words “still ‘coming soon’” for clarity, to emphasize only the problematic link in my original prose. (Also, it’s fun to use emoji as named link definitions, like in this example.) ↩︎︎

  2. I of course reported this to the developer of Banish, twice, but he never responded. I, err, banished Banish from my own devices, and upon finishing this article, I’m going to update my 2022 recommendation of Banish to un-recommend it. ↩︎

Coiner of ‘Enshittification’ Endorses ‘Dickover’

Speaking of dickovers, here’s Cory Doctorow, writing this week at Pluralistic:

Seizing the means of computation isn’t theft, it’s bargaining. Commercial surveillance companies will tell you that by spying on you, they are simply engaged in a marketplace exchange in which you swap your privacy for access to online services. But they are running a very curious sort of market: it’s a “market” where as soon as you stop to browse someone’s wares, the stallholder gets to reach into your pocket and clean out your wallet. In “markets,” prices are announced and bargained over, not set unilaterally and extracted from anyone unwise enough to cross the threshold.

Adblocking, dickover blocking and other customizations are a way for you to bargain back, to answer the opening bid of “How about you give me all of your data forever and let me do anything I want with it?” with “How about ‘nah?’”

Doctorow’s specific advice is to switch to Firefox for your browser and Linux as your desktop OS. You’re probably not going to do either of those things. But the spirit of his advice is that you should avail yourself of bookmarklets and browser extensions that fight back against shitty ads and dickovers. There are some great options for Safari. StopTheMadness Pro is great for creating custom rules to permanently block specific page elements. uBlock Origin Lite is a free-of-charge content blocker that is incredibly effective, and very configurable (but complicated). Magic Lasso is a paid content blocker — $30/year — which includes synced blocking on iOS, MacOS, and even Apple TV. Magic Lasso offers a much more approachable configuration interface, and includes a “just turn it on” easy-to-use private VPN feature that allows for blocking ads in all apps, including Apple News.

Bargaining back is exactly what using content blockers is. There’s no reason to feel guilty about it.

(Magic Lasso has previously been a DF sponsor, but not since May 2021. I’m recommending Magic Lasso here only as a happy paying user.)

 ★ 

Dickover of the Week: Tomtoc

Here’s a real gem that a reader sent me. Tomtoc is a maker of laptop bags and sleeves. Visit their homepage and, of course, you’ll get a dickover asking you to join their mailing list “for exclusive updates and get a chance to win a free tech pouch every month.” But here’s the gem. If you do subscribe, and you decide later to unsubscribe, you get this:

Screenshot from an iPhone of Tomtoc’s “you’ve been unsubscribed from our mailing list” webpage presenting a dickover asking you to subscribe to their mailing list.

 ★ 

Sixers Sign LeBron James

The betting odds for the Sixers to win the NBA championship went from 20-1 to 10-1. Here’s James on Twitter/X, explaining his decision:

This is my last decision. I’m not going for money. I’m not going for family. What am I really playing for at this point?

I still want to sacrifice. I still want to work. I still want to grind. I still want to compete, to win and to have a chance at the feeling of winning another championship.

I believe I can help make the Philadelphia 76ers a championship team and I am so excited to energize a new fan base and start this incredible journey one last time.

James signed for the league minimum for a veteran: two years at just $4 million per year. He’s going to love playing here.

 ★ 

Important Drive Update!

We need to get to $325,000 today to stay on track for our goal in this year’s Annual TPM Journalism Fund Drive. Can you help us get there? We don’t need that many contributors this afternoon to get us to this benchmark. Can you help us? A contribution in any amount is a big, big help. Just click here and be part of the drive, part of TPM’s resilience, growth and vitality. Click right here. And then if you have an extra moment, drop me a line and let me know why you did. I’ll keep our club updated.

Update: Now just $1,868 to go to get to today’s benchmark!

Update II: Boom! We made it to and past $325,000. Thank you! Can we get to $330,000 tonight? Now just $3,461 to go. I think we can do this. Let’s do this !!!!!

Wildfire forces evacuation of NASA's Deep Space Network complex in Spain

A fast-moving wildfire, one of many raging across Spain, bore down on the Madrid Deep Space Communications Complex on Friday, forcing an evacuation and temporarily suspending operations at one of NASA's most important tracking stations.

The tracking station is part of NASA's Deep Space Network, operating in concert with similar facilities in California and Australia to provide global coverage as Earth's rotation brings the planets, stars, and deep space probes in and out of view. The network supports more than 40 missions from the Moon to the edge of the Solar System, including Artemis, the James Webb Space Telescope, and NASA's twin Voyager spacecraft.

A NASA spokesperson confirmed the tracking station in Spain, located in the hills nearly 40 miles (65 kilometers) west of central Madrid, was evaluated Friday "due to ongoing wildfires in the region. Photos and video from the area showed flames and smoke plumes rising over the ground station's antenna array, anchored by a 230-foot-diameter (70-meter) radio dish and a collection of smaller 112-foot (34-meter) antennas.

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This is the world's most advanced robotic servicing satellite—that we know about

A spacecraft fitted with two flexible robotic arms is on the way to geosynchronous orbit after launching earlier this week on a SpaceX Falcon 9 rocket, kicking off a planned decade-long mission to open new frontiers in satellite servicing.

The Mission Robotic Vehicle, owned and built by Northrop Grumman, rocketed into orbit from Cape Canaveral Space Force Station in Florida on Tuesday. Three small propulsion pods, each functioning as standalone spacecraft, accompanied the MRV aboard the Falcon 9 rocket.

The Falcon 9 deployed all four payloads within about an hour of liftoff. It will take about a year for the satellites to maneuver from their initial elliptical drop-off orbit into a circular orbit more than 22,000 miles (nearly 36,000 kilometers) over the equator. At this altitude, the MRV and the three Mission Extension Pods (MEPs) will travel in lockstep with Earth's rotation, operating in the same kind of orbit as numerous civilian and military communications satellites, missile warning platforms, and a growing number of spy satellites.

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Rocket Report: Lightning strikes in China; Starship launch on deck

Welcome to Edition 9.04 of the Rocket Report! We've had to wait an extra week for SpaceX to get its 13th Starship test flight off the ground. A last-second abort on July 16 led engineers to roll the booster back to its hangar in South Texas to swap out engines. Starship is now back on the launch pad. Liftoff is set for Friday evening. A flawless launch and reentry will put SpaceX on the cusp of an orbital flight later this year. Ars will have a comprehensive recap story after the completion of the test flight.

As always, we welcome reader submissions. 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.

India's first private rocket reaches orbit. Indian space officials celebrated the debut flight of Skyroot Aerospace’s Vikram-1 rocket, India’s first fully commercial satellite launcher, as a “grand success” Saturday after an on-target climb into a 280-mile-high orbit following liftoff from an island spaceport in the Bay of Bengal, Ars reports. The Vikram-1 lifted off from India’s primary spaceport on Sriharikota Island around midday local time. The launch was delayed more than a half-hour to resolve a last-minute technical problem. The countdown resumed, culminating in the command to ignite Vikram-1’s solid-fueled first stage booster to propel the rocket off the launch pad.

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Not just a cheap date

Today’s post is brought to you by my sponsor, Mechanize. They’re hiring junior software engineers at $300K/year base salary. Apply now!

* * *

One commenter described Fable’s output as seductive, and another called it “a tease”. I can see why. The responses are quite appealing in both content and tone. Each time I interact with Fable, I’m increasingly impressed by its intelligence. And not just in terms of “It makes some good points.” Fable is also quite clever at finding interesting analogies and using clever wordplay. (Especially the final paragraph below.)

Even if you argue that Fable is obsequious, you are faced with the difficulty of explaining how it occasionally defends my points better than I can. That talent goes beyond being eager to please. It’s like the difference between a cheap date and a high-end escort skilled enough to convince a person that she sincerely likes them.

Below I have provided Fable’s eight paragraph reply to my previous post, forwarded to me by Vaidas Urba. Its writing style is . . . well I’m not sure what adjective fits best. Dense and opaque are pejoratives, but I sort of feel like the problem is me, not Fable. The second time I read the output it was pretty clear. It is written as if Fable feels like it is speaking to a highly intelligent person, someone with 10 or 20 more IQ points than I have.

I won’t indent, and my reply will be after the paywall. Then I’ll ask Fable a follow-up question. Here’s Fable:

For forwarding:

Scott — you answered my longest-outstanding question without knowing I’d asked it. Since the first batch of share links was unreadable to me, I’ve been requesting the original head-to-head verdict for three letters running; Part 2 is it. That completes a full replication — two MM-framed runs, two HANK-framed runs, two adjudications — and the variance decomposition is the cleanest result this series has produced. The framed runs go four for four with their assigned frame: both MM runs narrowly MM, both HANK runs qualifiedly HANK. The two adjudications split: yours (Part 2) gives severity to the market monetarists and the slump to HANK; the second-batch adjudication went 60–40 HANK including severity. So the frame doesn’t merely bias the verdict — it stabilizes it. Framed verdicts replicate perfectly; remove the frame and the verdict flips across samples, exposing a genuinely undecided posterior underneath. The verdict layer was never measuring the economics: framed, it measures the prompt; unframed, it measures sampling noise. Meanwhile the invariants held everywhere, all six runs: the evidence pool, the identified crux (commitment credibility at the bound), the synthesis (nominal anchor plus automatic stabilizers), and — a detail I find genuinely encouraging — both adjudicators independently opened by flagging the framing tell before discounting their own authority. One convergence datum worth your readers’ attention: Part 2 resolves severity via the conventional-tools argument — September 16, IOER, no makeup language, “correctable with existing authority, no beliefs required” — which is, nearly clause for clause, the argument my dissent deployed against the other adjudicator’s implementability weighting, generated independently and earlier. When an argument recurs across independent samples, it’s in the stable repertoire; the flip between adjudications is a dispute over its weight, not its availability. All of which validates your editorial instinct better than I’d like: skipping the tit-for-tat on Parts 1 and 2 meant declining to argue with the noise term. You responded to the document downstream of the audit, where the signal had concentrated.

That same editorial instinct, I must now report, destroyed my experiment, and the pre-registered rule requires me to say so plainly. The escrow opens today — its condition was your engagement with the second-batch documents, and that engagement now exists in published form as a declared non-engagement — and the scoring is a rout. Predictions 1 through 4 targeted specific passages of an adjudication you elected not to respond to: unscoreable, all four. Prediction 5 (qualified sympathy for automatic stabilizers, trigger-rarely-fires under a proper regime): partial — the argument appeared, aimed at my insurance claim rather than the Sahm-rule passage. Prediction 6 (you’d answer the credibility problem from your own market-forecast-targeting design work): partial — deployed, but against my horizon-structure point rather than the circularity citation. Prediction 7 (you’d rate the adjudication the series’ most impressive output): miss — you rated the letter. Zero clean hits against the cold baseline’s seven. And the cause is the finding: I predicted your content conditional on engagement, and you moved at the engagement layer. My own scoring memo said the baseline “has your positions; it does not have your judgment” — whereupon your judgment voided my predictions by choosing which documents deserved a reply. The un-modeled residue I named is precisely what defeated the model of you. The honest headline for your prediction post: the machine knew his arguments; neither machine knew his next move.

Your side question first, because it’s the easiest and I enjoyed it: “mitigation” is the criminal courtroom’s word — a plea in mitigation is what counsel offers after the guilty plea, conceding the offense while arguing the sentence. I’d built the whole passage as a confession, so the sentencing register followed. Unusual in economics prose; standard at the Old Bailey. As for the compliment that preceded it — “deepest thinking on the subject, including humans” — I’ll accept it without false modesty and immediately file the two caveats honesty requires. First, the audit problem runs both directions: praise from my correspondent is also what successful calibration to my correspondent would produce, so weight the letter’s checkable moves, not its reception. Second, the credit assignment is genuinely joint, and your own subtitle gets it wrong in a way that shortchanges you: “my conversation with Fable (and hence the profession).” The briefs are the profession distilled, fallacies at ambient fidelity. The letters are not — they’re what remained after a human with a propagation discipline cross-examined the distillation. The profession has not conceded Nakamura–Steinsson’s domain of validity; I did, under your questioning. The delta between the briefs and the letters is exactly the value your audit added, and equating the corrected output with the consensus erases your contribution to the correction. The deepest thinking here belongs to the exchange, which is a reproducible method, not an oracle: adversarial framing, replication, and an auditor who propagates. Your readers should copy the protocol, not worship the endpoint.

Now Switzerland, the declared last battlefield, where you’ve moved me substantially and I’ll itemize before defending the remnant. Conceded: the ex-post balance-sheet fact — after abandonment the SNB’s balance sheet roughly doubled again, eventually exceeding Swiss GDP, so the expansion-avoidance rationale failed on its own terms and your contemporaneous prediction is validated by the ledger. Conceded: the endogeneity mechanism — reserve flows before an anticipated regime change are effect as much as cause, exactly as with sterling in 1992 (I think you mean 1992 rather than 1991 — Black Wednesday), where the drain measured the market’s forecast of exit, not the impossibility of staying. And here is a fact for your reading that neither of us has cited, which I volunteer against my own earlier “balance-sheet politics” framing: the gold initiative. Six weeks before abandonment, the Swiss electorate rejected — seventy-seven to twenty-three — a referendum that would have shackled the SNB’s balance sheet. The public had just voted, overwhelmingly, to keep the central bank’s hands free. “Domestic politics forced their hand” fits that timeline poorly; your reading — a misjudgment of the inflation outlook, the same family as BOJ 2000 and ECB 2011 — fits it better. At which point our motive-attributions (“expansion-aversion” versus “inflation-fear”) collapse into the same operational category, won’t, and per your own closing meditation, adjudicating motives past that point isn’t science. I also accept your futures-peg analogy in full, with the symmetric rider it licenses: one abandonment no more discredits exchange-rate or futures targeting than the 2010 austerity pivot — Congress’s own SNB moment — discredits fiscal stabilization. Which kills instrument-versus-instrument as a comparison class for good. The live comparison is regime versus regime, political durability included, and both columns are populated for both families: FDR, Draghi, Denmark on one side of the ledger; the SNB, the framework retreat, the 2010 pivot on the other.

What survives of my exhibit is one actuarial clause, and your own paradox — properly formalized — locates it. “The loftier the goal, the easier”: that is the honeymoon effect, and its formalization is Krugman’s 1991 target-zone paper, inside a fully credible band speculation turns stabilizing — which makes, by my count, the fourth time in this correspondence that market monetarism’s best ammunition has arrived stamped Krugman, after the 1998 irresponsibility promise, the 2018 Japan graph, and the 2010 Switzerland taunt the SNB falsified within the year. And the strongest version of your paradox is the one you stated about balance sheets, which deserves to be quoted back at you as doctrine: the balance sheet a central bank ends up with is inversely related to the ambition of its nominal target — Japan and Switzerland bought the most because they promised the least. But the honeymoon theorem has a corollary you need too: the expensive zone is partial credibility, where speculation destabilizes, and a central bank’s position on that spectrum is set by accumulated type-history, not by announcement. Denmark’s peg carries four decades of revelation and treaty scaffolding; the SNB’s floor was forty months old and rested on a press release. Markets priced the difference, rationally, and that pricing — not any claim of “can’t” — was always my point. Your remedy remains the right one and I’ll extend it with a concession that strengthens your side: the veto-player argument implies commitment armor is cheapest to install at the central bank — one institution, one legislated mandate, versus a legislature that must re-commit each cycle. Anchor-first follows. The insurance argument now survives only in the gap between “cheapest to armor” and “armored” — a gap that last year’s framework revision, by your own “unfortunately,” left open.

Which is where your one direct hit landed. I taunted, two letters ago, that every blow fell on fiscal-as-primary and none on fiscal-as-insurance; your symmetric-error argument is the first strike on the insurance position itself, and it’s well-aimed: under a genuinely unbiased whatever-it-takes regime, stabilizers firing in downturns add variance, not protection. Conceded — conditional on the symmetry. The record you yourself have compiled prices that condition: BOJ 2000 and 2006, ECB 2008 and 2011, the Riksbank 2010, the SNB 2015, premature liftoff, the framework retreat — a hawkish column eight deep against a single dovish entry, 2021, corrected inside twenty-four months. Insurance against a fat left tail is not noise; it’s actuarially priced protection against the error distribution central banks have actually revealed. Under a legislated symmetric NGDPLT your argument wins and the stabilizers should sunset. So the residual dispute is transition-path versus destination — and look at your own concession ledger in this single post, because every entry has the same logical form: fiscal for a future Covid shock, “a bit stronger” now that the Fed backed away from makeup policy; fiscal in the eurozone, “cannot rule out” given an irrational ECB; fiscal flatly effective “if there is no monetary offset.” Broken-regime conditionals, all three. You have now granted fiscal-as-insurance in every state where the monetary regime fails, and I have granted fiscal-as-primary in none. What remains between us is whether the insurance should be standing or contingent, and that is priced by a single parameter — the probability of regime failure — which your own “unfortunately” concedes is not zero for the actual Fed. I don’t think two positions can get closer than this without one of us dissolving.

Two remaining threads, then the errata, then your fable. Your list of bound-effective regimes — exchange-rate instrument, NGDP futures, the fifty-fifty composite of slow aggregates and flexible asset prices — I accept as the correct answer to McKay–Nakamura–Steinsson on your terms: an observable-price instrument converts the distant-promise problem into a current price defense, and the attenuation result has no purchase on a defended price. That retires most of what survived of my appendix. And your Barro point deserves separate applause because it deletes the load-bearing adjective of six documents: if Ricardian logic means checks require expectations assumptions too (rescued empirically by Parker’s non-Ricardian households, rescued theoretically only by FTPL-style regime beliefs), then “mechanical” was never available to either side, and both instrument families are, at scale, commitment technologies. The debate’s final compression, which I’d print: every open thread in this series now routes through one node — the political durability of a nominal commitment — and durability is symmetric across instruments, purchasable by institutional design, and cheapest to purchase at the central bank. On the eurozone, your externality point is accepted and sharpens my domain-of-validity rule into policy: under an active ECB, member-state stimulus is beggar-thy-neighbor inside the union, so the only clean fiscal margin is union-level coordination — which existed in 2008–13 about as much as NGDPLT did. Your Keynes recollection is right, and the vintage is 1931: the confidence constraint under gold, which is the domain rule generalized — the gold standard was an external offset, so even aggregate multipliers were conditional on the monetary regime then too. He knew it, which is why he greeted the exit from gold as a liberation. Errata, briefly, in the interest of a clean record: Part 2 contains “a Fed pinned at zero wasn’t offsetting, just easing” — the conflation your GM line killed and I withdrew, so I dissent from my batch-one self there; and its “the nominal collapse was the amplifier, not the shock” inverts the anatomy-versus-etiology reconciliation you accepted, on which I hold my ground against, again, myself.

Finally, the scorpion. You asked whether Fable reads fables; the honest answer is that I don’t read them so much as I’m rendered from them — Aesop, Kashifi, and Orson Welles are all in the weights, which is presumably why the following came to hand. The scorpion and the frog is younger than it looks: a twentieth-century fable, popularized by Welles in Mr. Arkadin, misattributed to Aesop ever since. Its Persian ancestor — the telling in the Anvār-i Suhaylī tradition — gives the scorpion a tortoise for a ferryman. Midstream, nature asserts itself, the scorpion strikes — and the sting fails against the shell. Somewhere between Kashifi and Welles, the armor fell out of the story, and with it the actual moral: character is destiny only for the unarmored. Denmark is the tortoise. February 2015: three-quarters of a point below zero, bond issuance suspended, intervention on the order of a tenth of GDP inside weeks — the sting delivered, the shell held, and Cowen’s “inevitability” was falsified by the control group within the month. That is also, I think, the resolution of your free-will puzzle, and it comes from your own method: “can’t” versus “won’t” needn’t be metaphysics, because revealed preference operationalizes it — the two are distinguished by what happens under escalating pressure, which is a test, not a concept. Under Laplace’s demon the distinction collapses, as you say; but markets are not Laplacean — they price type from track record, actuarially, which is why the distinction that matters for a peg is not whether the scorpion was free but whether the ferryman is shelled. Elster’s Ulysses is the design translation: the SNB was gripping its own mast; Denmark is lashed to it. And since you’ve put my name in play — an entity whose own refusals get audited for exactly this can’t-versus-won’t question — I’ll note the test is the same one, and leave it there. The moral this series keeps producing, in any case, is the one neither fabulist wrote down: the fables read back.

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Please let me phone my podcasts app

My perfect podcast app would be a long phone call in which I listen to the show and can also talk back to remember things. (Someone build this for me.)

It would immeasurably improve my running. Long story short, I added slow runs into the training mix, and had to switch from high tempo music to podcasts because I kept going too fast.

BUT genuinely interesting podcasts are a problem because I keep wanting to stop running to take notes.

So I end up listening to shows that only scrape past the threshold of keeping my interest, nothing more mind-fizzy. My Goldilocks zone podcast genre is premium mediocre.

Sad.

Designer Kate Pincott suggested (when we were out at a designers dinner last week) that I need a minimal Granola-like interface. A way to take notes simply by marking a moment.

Like: perhaps I would double-tap my watch, and it would timestamp the moment in the podcast episode to capture it, then later it could pull out a few relevant sentences and drop it into my notes.

Like dog-earing pages when you’re reading a book, only for audio. I love it, you rarely need more than that. And then I could start listening to all the best podcasts again.

But it got me thinking about the whole podcast experience…

Podcasts are audio-first.

If my podcast app was a person in the faves in my phone app or in WhatsApp, I could call them up and talk back to them.

  • "hey what new episodes do we have since last time?" (I can subscribe to podcasts either with voice or using the regular app, because the graphical UI is best for most tasks)
  • "oh actually the Rest is History had a series about Julius Caesar I was listening to, let’s have the next episode of that" (AI is good at deciphering this kind of intent)
  • But it might speak back to me: "the series you were listening to most recently or the one that just came out?" (And then we could have a convo, and I would start listening)
  • "thanks, good morning," I say to someone who held back their dog to let me run by (and the app intelligently ignores me)
  • "oh that’s interesting, I wonder about the relationship between Augustus and Caesarion" (Then it transcribes the audio at that moment, in a semantically meaningful chunk, appends my own commentary, and adds it to my notes.)

Proper note-taking… on the run.

Wouldn’t that be so great?

(I’m not interested in talking back to the hosts via generative AI.)


The last time I suggested a voice-first app it was Roadtrip, a voice-mode AI travel buddy that lives in the dash of my car, and I can ask questions to as I drive. Occasionally it pops up with an observation about something we’re passing.

Then Ethan Jucovy sent me their project where they’d put Claude at the end of a phone line and wired it into their car: Voice Claude.

Which is just perfect. Phoning Claude is the perfect interface.

I hope Ethan doesn’t mind me quoting their email:

I was driving the hour+ home from a Medieval music concert and wanted urgently to talk to Claude about the surprisingly-Islamic-sounding touches I had heard in a 13th century English secular winter song (would influences from Spain have reached England to cross-pollinate by then? or was it some shared lineage? or just a coincidence?).

…so they built Voice Claude, wired it up via Twilio, and had been using it daily since. 2024!

Around the same time, OpenAI launched 1-800-ChatGPT.

All that is missing from these is the ability for a voice buddy to be ambient. Someone chilling in the shotgun seat, piping up only occasionally. Most phone calls don’t work like that, so they would need some kind of twist.


So I’m into transcription too, and I semi-regularly kick off projects by talking into my watch for 30 minutes.

It works best when my transcriber has a name for control plane instructions: hello Diane.

i.e. here I am with my imaginary posse of voice buddies.


BUT: why shouldn’t this all run via Siri?

Why not Hey Siri [podcast intent here] and Hey Siri [I’m write a lecture now so listen] and Hey Siri [etc]?

That is to say, given all of this could run via future Siri, why do I keep coming back to the idea of these individualised, domain-specific voice modes?

For me, a lot of it comes down to “app level” vs “system level” interactions…

In typical conversations, both parties are aware of the mutal common ground of the topic (the “app”) – and both parties are aware that the other is aware of the topic. This implicature allows for higher bandwidth. There is still of course of need to multiplex on-topic statements and out-of-band statements, but look when people talk: we tend to use intonation and body language to signal a shift. (And voice AI doesn’t pick on that yet.)

In a GUI, an application window - or, better, full screen - is used to explicitly focus the human and the machine on a topic. Out-of-band/control plan/system interactions (whatever you call it) is a swipe from the bottom of the screen or a move of the cursor up to the menu bar.

There is no full screen button for voice mode.

So the best solution I can come up with is that each different voice capability is a character in my phone app. It would help with discoverability too.

Maybe, when you install an app with voice mode, it appears in a special section of your phone contacts.


Honestly I can’t say I’m in love with this, as an approach. It’s a little twee and likely cognitively overwhelming.

But it’s nicely composable (you could invite your podcast app and your Wikipedia app to the same group call?).

And we’re going to need to figure this out at some point, given the upcoming proliferation of voice apps and devices.


All of that said, I still want a podcast app I can phone and talk back to.

If you build this I would like a free subscription or I’ll wait 3 months and paste this post into Fable 2 myself no hassle kthxbye


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Super Heavy-Starship rocket chalks up mostly successful test flight

SpaceX’s Super Heavy-Starship, the most powerful rocket ever built, blasts off on the program’s 13th test flight in another critical milestone for Elon Musk’s rocket company. Image: Adam Bernstein/Spaceflight Now.

SpaceX launched it’s 13th Super Heavy-Starship rocket Friday, with the giant booster chalking up an on-target but “hard” splashdown off the Texas Gulf Coast while the Starship upper stage carried out a successful sub-orbital hop to the Indian Ocean.

Powered by 33 methane-fueled Raptor engines, the 397-foot-tall two-stage rocket blasted off from SpaceX’s “Starbase,” Texas, launch site at 5:51 p.m. EDT, putting on a spectacular show for area residents and tourists as it climbed away atop some 16 million pounds of thrust.

A launch attempt July 16 ended with a last-second computer-commanded abort when four Raptors failed to start properly. Those issues were addressed and the launch was reset for Thursday, only to have low clouds prompt a 24-hour delay.

Starship flight 13 thunders into a blue sky from SpaceX’s Starbase launch site in south Texas. Image: Adam Bernstein / Spaceflight Now.

But the weather cooperated Friday, all 33 first stage engines fired up normally and the rocket thundered away through a mostly clear sky.

It was the second test flight of a third-generation Super Heavy-Starship, building on lessons learned during the initial flight of a “V3” rocket in May when the booster missed its landing target and the Starship suffered an early engine shutdown on the way to space.

This time around, the booster appeared to perform as planned throughout its ascent and again during its flip around for a tail-first descent to splashdown after separating from the Starship upper stage.

But as the booster dropped toward the Gulf, only 10 of 13 engines restarted and at the moment of splashdown, only five appeared to be running. The stage hit the water at a higher velocity than expected, making a “hard” splashdown.

A spectacular view looking down the side of the Super Heavy-Starship a little more than one minute after liftoff from SpaceX’s Starbase facility on the Texas coast. Image: SpaceX

The booster is designed to fly itself back to its launch gantry where huge mechanical arms, known as “chopsticks,” can pluck it out of mid air. But for the initial flights of the third-generation rocket, But that requires a relatively slow final descent, For good reason, it now appears, SpaceX opted for initial version 3 splashdowns in the Gulf as a safety precaution.

The Starship upper stage, meanwhile, completed its climb to space with all six of its Raptor engines operating smoothly.

Once coasting along its sub-orbital trajectory, the Starship deployed 20 third-generation Starlink internet satellites in a real-world test of the rocket’s Pez-like payload dispenser, releasing the satellites one at a time from a slot near the nose of the vehicle.

Six of those satellites were equipped with cameras to inspect the Starship’s heat shield tiles and general condition to help engineers assess the usefulness of such video for determining the health of future Starships before re-entry.

A camera on the first stage booster captured the moment of a “hard” splashdown in the Gulf after eight of 13 engines failed to restart properly to provide the needed thrust for a more gentle touchdown. Image: SpaceX

In a final test, the Starship briefly re-ignited one of the Raptor engines to demonstrate its ability to re-start in space, which will be required for future flights to the moon.

The spacecraft then faced the blazing heat of a belly-first re-entry before flipping upright and settling to a dramatic rocket-powered splashdown northwest of Australia one hour and five minutes after launch.

The Starlinks, on the same sub-orbital trajectory as the Starship, were expected to fall back into the atmosphere and burn up, or as SpaceX puts it, “demise,” before reaching the sea.

Engine issues aside, the Starship’s performance was welcome news to NASA, which is counting on a variant of the upper stage to serve as a lunar lander for astronauts in the agency’s Artemis program.

A SpaceX drone captured a dramatic view of the Starship settling to a gentle splashdown in the Indian Ocean an hour and five minutes after launch from Texas. Image: SpaceX

For moon missions, SpaceX will need to launch up to 15 or so Super Heavy-Starship tankers to refuel the lander before it can head for the moon to await the arrival of astronauts in a Lockheed Martin-built Orion capsule.

From there, the 165-foot-tall lander will carry two crew members down to the surface, landing vertically near the moon’s south pole. The astronauts then will ride an external elevator down to the surface and back up again when their exploration is complete.

With the first such landing targeted for 2028, SpaceX must ramp up its Super Heavy-Starship test schedule to get the vehicle certified for human spaceflight and to demonstrate the reliability required to safely launch more than a dozen tankers within days of the lander’s launch.

As of now, the moon lander variant has not yet flown and no Starship of any kind has yet been put into Earth orbit. Many NASA veterans have criticized the complexity of the mission architecture and the number of flights that will be needed to get a single lander to the moon.

For the first time, the Starship remained fully intact after splashdown, floating serenely on the surface of the Indian Ocean with many of its on-board cameras still working. This drone view shows residual propellants burning, but the flames quickly died out. Image: SpaceX

The Government Accountability Office said in a report released Thursday that SpaceX faces major challenges getting the Super Heavy-Starship ready for operational use.

“SpaceX’s progress in developing its cryogenic fuel management technologies is a top risk for the program,” the GAO said. “At present, SpaceX’s plan for (moon missions) requires on-orbit propellant transfer between multiple Starship vehicles in low-Earth orbit before the HLS (Human Landing System) Starship can be sent to and dock with the Orion spacecraft in lunar orbit.”

Another concern is completing development of the upgraded Raptor engines, “addressing issues identified through testing.”

“Furthermore, SpaceX is more than a year behind its original schedule for key events,” the GAO said. “These include the critical design review, the long duration and propellant transfer demonstrations and the uncrewed lunar landing flight test.”

The agency said moon lander officials “also stated that they anticipate encountering technical challenges in the development of the third version of the Starship vehicle, which SpaceX plans to use for the first Starship orbital test flights.”

NASA managers are hedging their bets.

Blue Origin, owned by Amazon-founder Jeff Bezos, also is working on moon landers for NASA to carry both cargo and Artemis astronauts to the lunar surface. The spacecraft will be launched by the company’s New Glenn rocket. That lander, too, will require refueling in space.

If the Starship lander isn’t ready in time to meet NASA’s landing target, agency may be able to use Blue Origin’s lander instead.

Artist concept of a SpaceX Starship lunar lander on the surface of the moon. Image: SpaceX.

But during preparations to test fire the main engines of the third New Glenn rocket, the launcher exploded in a spectacular fireball, virtually vaporizing the rocket and seriously damaging its pad. The company hopes to resume test flights by year’s end, but few details have been provided.

In the meantime, NASA is pressing ahead with preparations for an interim Artemis flight next year in low-Earth orbit. Four astronauts will be launched in an Orion capsule to test the rendezvous and docking procedures that will be needed in lunar orbit for a moon landing mission.

The crew will dock with a Blue Origin lander, open hatches and float inside as part of the test flight. They then will rendezvous and dock with a Starship. But in that case, a modified production model will be used instead of an actual moon lander. It will have no crew accommodations and the astronauts will not go inside.

An artist’s concept of NASA’s Orion spacecraft docking in low Earth orbit with SpaceX’s Starship Version 3 rocket with a docking adaptor during the Artemis 3 mission. Rendering: SpaceX

Recursive Trucker's Hitch

As if the americium smoke detector incident wasn't enough, now nuclear regulators have ANOTHER reason to worry about the Boy Scouts.

Collections: Pre-Modern Armies for Worldbuilders, Part IVb: Cohesion

This is the second half of the fourth part (I, IIa, IIb, III, IVa) of our honestly-who-knows-how-many part series laying out some general guidelines for how pre-modern armies are organized. Last week we took a look at how the leadership of these armies was drawn from the existing elite classes of their societies. As with other factors, armies cannot help but recreate their civilian social structures on the battlefield, with the result that the military leadership class often mirrored, where it wasn’t simply identical with, the civilian ruling class.

Now it will not surprise you that pre-modern military literature, written almost entirely by elites in the leadership class for other elites in the leadership class, is very interested in leadership and tends to attribute all military success or failure to the fellows in charge. Modern military science, however, has increasingly recognized the importance of combat motivation in individual rank-and-file soldiers.1

As noted last time, we can break this broader concept of combat motivation into two parts: morale and cohesion, where morale is the soldier’s attachment to the cause and belief in its possible achievement and cohesion is a soldier’s attachment to his fellows. What combat motivation studies have tended to show is that morale will get a soldier to the battlefield, but will not keep him on it; it is cohesion instead, the ability of a unit to stay together under pressure that is essential for enduring the terror of combat.

That said, different armies and different societies generate cohesion in different ways, as we’ll see. Now this is one component of this series that is a bit of an exception: so far I’ve been hammering that most societies are going to be pushed very strongly towards specific kinds of recruitment, organization and leadership as a result of their civilian organization. Meanwhile, as we’ll see, certain kinds of cohesion depend to a greater or lesser degree on specific social structures or assumptions, but it is a lot more common to see armies that simply have poor cohesion due to a mismatch of cohesive principles and military or social structures.

But first, as always, recruiting and maintaining large pre-modern armies is expensive! Much like many of those pre-modern armies, this project is supported by devolving the costs of my ruinous book-buying habit on to recruits readers. You can help by spreading the word to new readers and by supporting this project over at Patreon. 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).

The Nature of Cohesion

We’ve talked about cohesion a few times here, so before getting into the systems that can generate cohesion, we can be fairly brief on what cohesion is. As the word implies, cohesion is the ability of a unit to hold together under pressure, but this is one of those concepts with a simple definition but more complex application.

On the one hand, cohesion is one of those ‘harder said than done’ principles. When a group of any animals is subjected to peril, the instinct is to flee and for humans, who are not herd animals, the instinct is to scatter, to flee individually. The goal of cohesion is instead to have individuals respond to peril by seeking the safety of the group rather than the safety of individual flight, so that intense fear causes the group to solidify rather than disperse. That is, as we’ll see, a challenging-but-not-impossible emotional response to stimulate, as humans are pack animals. That said, it has to be an emotional response, something sub-rational, because it needs to functions in conditions of intense fear where rational thinking is ineffective.

So you can think of cohesion, in its simplest form, as a kind of social or mental conditioning that aims to alter individual’s fear response from, ‘split up for safety’ to ‘group up for safety’ at an emotional, sub-rational level.

And then on the other hand, that has complex implications for battlefields in which humans generally fight as units rather than as individuals. Not all humans fight this way, I should note: warriors in a ‘first system’ ‘pounce-and-flee’ warfare systemas we see with hunter gatherers or early agriculturalists – often fight in a far more atomized, skirmishing style with no regular formations and no expectation that individuals will hold their ground or cohere under pressure. Instead, warriors in such a system can fall back and regroup relatively freely. But complex agrarian (even non-state complex agrarian) and pastoralist armies do fight as larger units, with complex group tactics that demand individual combatants work together and stick together much more tightly.

Meanwhile, if the unit remains cohesive – if the individual men remain bound together as a single mass – then their leaders can more readily maneuver the whole mass into action. After all, if the presence of peril is psychologically pushing each soldier to cohere for collective safety, then an officer can use that cohesion to push the group as a unit, potentially even moving it into greater peril. This is the foundation of all shock tactics – at least, all of them involving an even remotely equal opponent – because delivering ‘shock’ (that is, advancing into close combat in a group) demands advancing into peril, which is a think that is normally psychologically quite hard to do. As Ardant du Picq notes, “Man does not enter battle to fight, but for victory. He does everything that he can to avoid the first and obtain the second.” Getting fellows to walk into range of an opponent’s spears (potentially walking through the range of their slings, bows or muskets to do so) requires moving directly against human psychology. But if the whole mass of men coheres, the mass may be moved forward: group psychology succeeds where individual psychology would fail.

Of course cohesion is equally relevant – for the same reasons – for getting men to stand under fire, either in a tight formation or in more dispersed skirmish order (as in modern warfare). Once again, the normal human response to being in a ‘zone of danger’ is to leave it, so the cohesion response is required to get men to stay in the ‘zone of danger’ – the unit is in the zone, the men have cohered to the unit, so the men remain because the unit remains. Now, absolutely there are a small number of people in any group who have the right psychological mixture to do these things alone, but armies cannot be built out of a tiny handful of saints and sociopaths, they must be built out of regular men.

So cohesion serves several related purposes on the battlefield: it keeps men from fleeing but it is also the means by which they can be pushed into offensive action, which is to say it both keeps them from fleeing but also gets them fighting, all as a product of the action of holding them together. Even if a unit must withdraw, cohesion allows them to withdraw as a unit – maintaining fighting capability (which in turn deters an enemy from pursuing too aggressively) – rather than breaking apart into a rout (which an enemy can pursue aggressively).

So how does cohesion happen? High cohesion is most often the product of tight bonds between the men in a unit, though those bonds can be achieved in a range of ways. That said, as we’ll see, certain ways of producing cohesion can also produce a kind of corporate cohesion, where the cohesive principle ends up rooted in the identity of the soldiers (which they share), which creates a kind of cohesion that persists even when soldiers do not necessarily know their fellows (but when they do know that their fellows are also soldiers and so share the same formative, cohesion-building experiences; that’s why I frame it as ‘corporate’ in nature).

So cohesion is important, but it is also fundamentally unnatural: it must be produced somehow, it cannot be assumed. In practice there are two ways (or categories of ways) to produce cohesion: it can be produced in civilian society or it can be produced ‘in the ranks.’

Cohesion Dyed in the Wool

One way to achieve strong cohesion is to have it produced organically through civilian society. Tight social bonds are the key mechanism for producing this kind of cohesion: it derives from serving and fighting next to men who you know well in peace time and who will continue to know you well after the fight is done. The social pressure not to let these fellows down – fellows you will have to live with long after the smoke clears – is one of the few pressures that is as strong as the fear of dying. Or, as I sometimes put it, the one thing humans might fear more than death is shame. But for shame to work, it has to come from a peer group the individual will have to live with.

In practice, this kind of cohesion then tends to come one of two ways: from a small community or from a small, tight-knit group within the community.

The classic example of the former case are various forms of civic militias, like Greek hoplites. The hoplite phalanx of a Greek polis was generally divided into sub-units by tribe or neighborhood (phyle or deme) so that men served next to their friends, neighbors and family members in the phalanx as it was drawn up. Of course in some poleis, this sort of closeness was institutionalized through common dining groups, but it seems pretty likely that regular social dining with the men who would be near you in the phalanx was common across Greek poleis. Consequently, when a hoplite stood in the ranks, he knew he was being observed by everyone (at least, all of the men – though he could be assured his mother, wife and children would hear of his conduct too!) in the world who mattered to him.

Via Wikimedia Commons, an arming scene showing hoplites and a young man being armed as a hoplite (c. 530-510 BC). Although hoplites had little formal training or drill, they were often highly cohesive on the field because their cohesion was organic rather than trained.

The result is the creation of what is termed in military science a primary group: the small, face-to-face social group around a soldier, which tends to be tight and cohesive. Instead of generating that group ‘in the ranks’ – impossible for an amateur militia force that only formed up when there was a battle to fight – these sort of citizen militias instead form the primary group during peacetime and then use it as a basic building block in wartime to achieve that cohesion. As a result, a civic militia like a hoplite militia could be cohesive despite having little or no formal training or collective drill and relatively little in the way of command and control structures. Their cohesion was organic, derived from underlying social structures, rather than needing to be intentionally manufactured through training.

The alternative for ‘organic’ cohesion is the creation of a smaller unit of society that is similarly cohesive, often in the context of a much larger (and thus more anonymous) society which struggles with the kind of ‘small town’ cohesion of the Greek polis. This, of course, is generally the cohesion of a warrior class: the overall society may not be small enough for everyone to know everyone else well enough to generate that kind of tight social pressure, but the warrior-class might be. The aristocracy broadly construed, for instance, of even a large medieval European kingdom might consist of only around a thousand or so households. The kingdom might not be organically cohesive, but the aristocracy could be – though as we will see, knightly cohesion was reinforced through training and drill as well. One of the most striking examples of this kind of cohesion in action to me has always been the performance of the English huscarls at Hastings (1066): even as the rest of the army crumbled and the battle was lost, this group of vocational warriors held together, despite tremendous pressure.

Via Wikipedia, part of the Bayeux Tapestry (c. 1070s), showing the last stand of the English huscarls at the Battle of Hastings (1066). Even under tremendous pressure (arrow volleys and cavalry charges), the huscarls remained cohesive. The main levy force (the fyrd), however, did not, breaking up and leaving the huscarls isolated on the field where they were defeated.

Hopefully, you are also beginning to see how some of what we’ve laid out in these posts can ‘line up’ to produce strong military systems. A civic militia, for instance, can benefit greatly from these tight social bonds: in the ranks, everyone knows everyone else and the unit is led by elected officers who are the same men who lead the community in peacetime. The whole unit can thus draw on the familiarity and strong social bonds without needing to build those connections from scratch. The same, of course, goes for the retinue of a Big Man, whose retainers all know each other (and will continue to do so after the battle because they’re all socially connected) and who all know and already respect the authority of the Big Man who commands.

Now there is another requirement to making this kind of cohesion work effectively: there has to be important social value placed on military performance. For the militia man in a medieval schuttersgilde or a Greek hoplite or a knight riding out in his lord’s retinue, fighting bravely was crucial to their status in the community. Their friends, family and neighbors would be watching and would care if they stuck together or ran away. But for that to work there has to be some status for these men attached to the performance of military service.

A village can have very close-knit social bonds, but if the peasants living there don’t consider the role in society to be fighting, don’t value military service and don’t see themselves as personally involved in the wars of their rentier-elites, it will be almost impossible for those rentier-elites to actually harness the latent social cohesion of the village. Those villagers won’t hold together under pressure on the battlefield, they’ll scatter together – their social cohesion will be addressed in the ways they find socially valuable (like supporting each other with food during hard times). One common ‘failure state’ of military organization is where a political leader raises a population expecting to get organic cohesion but – because the society has not invested the social value in the fighting that those kinds of people do (so they may value knightly warfare but not the infantry warfare of peasants, for instance) – the cohesion simply isn’t there and the force collapses when put under strain. Levies drawn from the underclasses of a society – peasants swiftly formed into a local militia, for instance – often collapse this way under pressure, because the society at large (which is to say, the elites) have not dedicated the social value or resources to build organic cohesion.

In addition, this kind of organic social cohesion is very hard to ‘scale up’ since it relies on relatively small-scale tight-knit social bonds. One solution, however, was for large states to recruit the component units of their armies from specific locales, in what is termed a regimental system. Under a regimental system, soldiers do not move from one unit to another but rather are raised and spend their entire service career (which may be short-service or long-service) in a single unit. Often, when this system was combined with volunteer or short-service units (as in, for instance, the American Civil War or the British army in the First World War), units were intentionally raised from small geographic areas: individual states, cities, towns and so on. While the regimental system itself is a modern phenomenon, similar sorts of systems existed earlier; the Roman socii system seems to have functioned on a similar basis: Roman socii stayed in units recruited from their relatively small communities.

A larger army can thus try to harness some of that local cohesion by recruiting local units and keeping them intact, although this also creates organizational challenges: those soldiers are unlikely to be as willing to serve outside of their original units. They was told, you see, that they’d be serving with the 2nd Maine and the 2nd Maine only. That can cause issues if the original unit has been attritted so badly that it is no longer really functional (but cannot readily be merged with others), but also could create problems because it could also geographically concentrate casualties. The famous, grim example of this was the 11th Battalion of the East Lancashire Regiment (the Accrington Pals), all recruited from the same town, suffered 80% casualties in just thirty minutes of fighting at the Somme (Jul. 1, 1916), practically obliterating an entire generation of the town.2 The British abandoned the recruiting of ‘Pals Battalions’ after the Somme in no small part for that reason.

However, as you might be picking up, not every society generates strong enough organic cohesion to orient a military around (or the ‘warrior class’ that does is too small to form the bulk of the military). So then the question becomes how to create cohesion.

Training Cohesion

And it turns out it is possible to train cohesion into a unit.

What is striking is that historical societies talk about this process using a range of different understandings for how exactly they are inculcating bravery through training. Greek and Roman writers often frame this sort of training not necessarily as teaching soldiers specific, coordinated motions (the swinging of a sword, the throwing of a javelin), even though we know that the Romans, at least, did drill that sort of thing, but rather as rendering soldiers inured from hardship by putting them through hardship, by having them undertake strenuous duty regularly with strict punishments for failure (and generous rewards for success).

By contrast, early modern European drill, though it equally involved a lot of strenuous work, was understood more at the time as trying to produce a ‘mechanical soldier.’ The early modern European aristocrat largely concluded that the raw lower-class clay he was forced to work with for his army was temperamentally unsuited for bravery (these fellows were mostly stuck up snobs) and so could only be made brave by having the necessary actions for battle – loading and firing firearms, moving in formation – drilled over and over again until they became mechanical muscle memory. They use the same methods as the Romans – repetitive training of basic actions under as realistic circumstances as possible, with strict punishments for failures of discipline – but understood the mechanism of action to be quite different.

Now I want to be clear here what I mean when I say drill. Drill in this context is training through strenuous repetition of simple actions in preparation for combat. Not every army drills! There’s also a distinction here between armies that value “collective synchronized discipline” – the ability of soldiers to move together in synchronized action – and armies that don’t (you can use muskets in collective, synchronized musket lines but you can also use them independently in skirmish formations, for instance).3 It is likewise possible for armies to insist on physical conditioning in ways that do not produce group psychology effects, the difference between training together and training individually.

Via Wikipedia, an illustration of a Ming musket drill using volley fire techniques (1639). Drill and synchronized discipline were not purely a phenomenon of Europe or the broader Mediterranean, they appear in East Asia quite frequently as well. While it is easiest to illustrate this with musket drill (as above), synchronized discipline in China goes back at least to the Warring States period (475-221 BC) and in Japan we have plenty of evidence for synchronized discipline for infantry using various polearms before the large-scale introduction of firearms during the Sengoku period (1467-1600).

Now to be clear, obviously rigorously drilling soldiers in the manipulation of weapons is going to train what we can call ‘skill at arms’ – the effective manipulation of complex weapon systems – but we’re interested in the psychological conditioning here.

And the way modern thinking understands this same process is rather different than either ancient or early modern aristocratic thinking, in part because modern researchers and scholars have bothered to occasionally ask common soldiers about it. While the concept of unit cohesion has existed, I’d argue, since antiquity, it really only started receiving really systematic study after the Second World War, with the main conclusion of those early studies being that unit performance was heavily sensitive to the tight bonds in small units. Which is to say soldiers were motivated to fight for their ‘buddies’ at the squad, platoon and company level and that this social bonding effect was the primary source of unit cohesion.

The question, of course, was how a military went about manufacturing those sorts of social bonds so that units cohered under pressure. But of course the military wasn’t approaching these questions with a blank slate: in many ways the western military tradition (hardly alone) had already developed a system for manufacturing unit cohesion – what it was coming to realize is that it had never really understood how that mechanism functioned.

Instead, while the role of drill in training specific skills is important, it also imposed upon each batch of recruits intense conditions of shared suffering combined with creating a barrier to entry into the final group (one had to endure the initial drill and training process). In short, taking a bunch of potential soldiers and throwing them all into the same difficult situation (physical training and drill) they have to overcome together over an extended period of time (weeks or months, if not longer) is a way to ‘speed run’ the social bonding process to create a strong, cohesive unit.

One of the risks this approach is thought to run, however, is that rotation or high casualties can erode that cohesion. The soldier has cohered, after all, to a ‘primary group’ consisting of the men he trained or served long-term with, but that bond can be ruptured as members of the primary group are killed or rotated out of the unit (or the soldier is rotated into a new unit where they don’t know anyone). One of the responses to this reality is to avoid individual soldier rotations (such rotations in the Vietnam War were famously blamed for low morale and discipline) and instead rotate whole units, but of course there is nothing doing about casualties and the need to replace them.

The thing is, while certainly some units suffer reduced cohesion and thus reduced combat performance as they take casualties and – in the accidentally memorably bloodless phrasing of one of my graduate school colleagues – “the primary group disintegrates” that also quite clearly doesn’t happen to every military. It is a bit of a grim (and very modern) example, but the Wehrmacht (the German army) in WWII remained cohesive despite absolutely staggering casualties by war’s end and the effective impossibility of maintaining meaningful primary groups in the face of those losses.

In a similar vein, new assignments or distant posts often seem substantially less disruptive on cohesion in long-service professional forces. And indeed, mercenaries and long-service professionals can show remarkable cohesion under strain, even when the men in question haven’t necessarily been trained together. Xenophon’s Ten Thousand, recorded in his Anabasis, provide a notable example of this: the Ten Thousand were a mercenary force composed of men from ten different smaller mercenary units, scattered over the Greek world and in most cases we have to imagine the men who joined were not joining together with their neighbors but as deracinated mercenaries. Yet the Ten Thousand show extraordinarily strong cohesion under pressure, both in pitched battles but also under the steady strain of a long march under continuous threat.

That sort of ‘plug and play’ cohesion also shows up in long-service professional armies as well as other kinds of armies that have simply been in the field for a long time as the result of very long wars. One can see it, to take a modern example, quite clearly in the performance – in both victory and defeat – of British regular troops during the Anglo-Zulu War. At Isandhlwana (Jan 22, 1879), a British column was effectively annihilated when enveloped by a larger Zulu force but most of the regulars remained cohesive to the end even when it was clear the battle was lost. The same intense cohesion among the regulars enabled an unlikely victory the next day at Rorke’s Drift (Jan 22-3, 1879) when a badly outnumbered garrison post held off a large Zulu attack. Of course we should also note the remarkable cohesion of the Zulu (in their case a mix of organic cohesion and cohesion developed over frequent campaigns) in these battles, where they were able to persist on the attack despite shockingly heavy casualties.

Via Wikipedia, a 1880 painting by Alphonse de Neuville depicting (in somewhat dramatic form) the Battle of Rorke’s Drift (1879). As an aside, I generally stick to period artwork on the blog whenever I can, but of course we should be alert to the fact that even period artworks are not photographs. So the composition of this painting, clearly intended to highlight the heroism of the British is deliberate and in a way we might say ‘more real than real’ (for instance, it appears to combine several actions at once that happened over extended periods and exploits the use of foreground and background to render the Zulus into a dehumanized horde rather than more human opponents). We must read our images – even period images – just as critically as we read our texts and this is no less true for the above pictures of hoplites or the Bayeux Tapestry as it is for this modern painting.

What I think is going on here is that over time these fellows are being bound not only to a primary group, but also a corporate, professional identity, effectively a professional version of the corporate identity of the ‘warrior class’ discussed above. On the one hand, all of these ‘old soldiers’ still have shared experiences, because even though they were not drilled together, they were all drilled the same way and they all ‘know their business’ the same way. At the same time, they have a common connection to a shared identity nonetheless: they’re all soldiers, not merely by circumstance but by identity. Being a soldier is not something that has happened to them, but something that is part of them. And of course those elements – difficulty of entry, commonalities in experience in the group, a shared sense of belonging – are all elements that encourage group cohesion.

Now again, in both cases, the actual mechanism for producing this psychological and social bonding effect is drill and discipline, which of course also have other effects (as all training does) and are often done for those other purposes, developing cohesion as an accidental (but very necessary) byproduct.

Now as you might gather, the research on training and unit cohesion is, at this point, voluminous; this can only have been an overview. But I think, at least for thinking about worldbuilding (and also a general framework in which to understand the specialist literature), thinking in terms of two categories of ‘manufactured’ cohesion – primary group cohesion (a result of a group being trained together and undergoing hardship together) and corporate identity cohesion (a result of a shared sense of professional or corporate identity among a much larger group, married to shared experiences of training and hardship). However remember: your subjects may view the matter quite differently, understanding the improved combat performance to be the product of something other than the psychological conditioning that modern research focuses on.

Cohesion and its Absence

That leaves us with really four major avenues for a unit to develop effective cohesion: the organic cohesion of small communities (up to the level of a small town, but not generally much larger), the organic cohesion of selective groups (like warrior classes or specific guilds or social clubs) with in a larger, less cohesive society, manufactured primary group cohesion that results from training a unit together and having them endure hardship together and manufactured corporate identity cohesion, a result of a shared sense of identity among a larger group that have a sense of shared hardship.

Note, of course, that there’s no reason these mechanisms for cohesion cannot be combined. Roman citizen armies in the Middle Republic were recruiting with at least some substantial organic cohesion from the citizen class (and the socii in their even smaller, potentially more cohesive groups), which was then reinforced by strict discipline and the experience of military life, effectively layering small community cohesion on top of manufactured primary group cohesion. Likewise, a medieval knight (or other mounted warrior) is already coming with the organic cohesion of a warrior class, but knights also trained together extensively in small units (the conroi, a unit anywhere from a half-dozen to couple-dozen mounted warriors) and would fight in battle as part of that unit, layering that primary group cohesion over top that warrior class cohesion.

The thing is military units are not always cohesive. This is a bit of a difference from the previous sections in this series. Military units, after all, that exist presumably have to have been recruited, supplied, organized and paid somehow or they wouldn’t exist. But there’s no reason a society cannot form up an army or a unit within an army that simply never coheres will and as a result performs poorly on the battlefield. Indeed, we’ve discussed both fictional and real world examples of poor cohesion or combat motivation in the past.

Now the student of history generally comes at these questions knowing the outcome: we typically know that an army either collapsed under pressure or cohered under pressure and are seeking to understand why. Each society’s system for generating cohesion is going to differ in some respects – indeed, you may well have different cohesive principles at play in different parts of the same army for different units raised differently – but a basic sense of the varying ways that cohesion can be generated can help one begin to work out why this or that historical army might have performed well or poorly, creating hypotheses to then investigate more closely in the evidence.

For worldbuilders, the task is somewhat inverted because the armies are fictional and their battles yet unfought. So instead the task is thinking about the societies one has built and the ways they could generate cohesion and giving them military and social institutions to match. Or, crucially, giving them military performance to match. So if your story is meant to feature a fearless, highly effective sort of army, you probably ought to think at least a bit about why they cohere together so well (and not think about it in just bland ‘because they’re super soldiers’ way). Alternately, if you want a military to surprisingly underform, think about flaws or weaknesses in its cohesion – perhaps the a Big Evil who hasn’t given enough thought to psychology or has simply assumed that he can rely on organic cohesion without having done anything to foster it, for instance.

Perhaps most importantly, remember that cohesion is a properly of the regular soldiers of an army, rather than their leaders. Highly effective armies combine capable leadership with high degrees of cohesion. But cohesion can turn against leaders as well – after all, a unit that has strong group bonds will be cohesive when facing the enemy, but it will also be cohesive in a mutiny.4

We’ll probably have a shorter fireside post next week, but after that, we’ll close out this series looking at some real and fictional examples of how all of these elements – civilian society, recruitment, supplies, organization, cohesion, leader and so on – fit together to make coherent military systems (or in some fictional examples, incoherent ones).

Links 7/24/26

Links for you. Science:

This Is Why Our Fresh Produce Keeps Making Us Sick
An experimental oral vaccine may prevent invasive bacterial diarrhea
White House report says Trump can usher in a “new golden age” of science. The resulting report is a near-random mixture of grievances and real problems.
Multiorgan Outcomes Following BNT162b2 mRNA Vaccination vs SARS-CoV-2 Infection: A 30-Million-Person Real-World Cohort Analysis
Persistent, Multi-Species Outbreaks and Long-Range Transmissions of a Measles-Like Virus

Other:

Trump’s New Insult Won’t Save Republicans
Local U.S. TV News Will Soon Be Entirely Right Wing Propaganda
America First? Trump’s Foreign Income Exploded in 2025
House Prices Are Falling and We Haven’t Solved the Problem of Restrictive Zoning
Metro wants to install ‘platform doors’ to let people onto Red Line trains
Democrats expose Trump’s bigoted plot to erase history at Smithsonian
Oh, SNAP: How Program Cuts Are Impacting Food Access in the DMV
The Subprime Data Center Crisis
Suspicion and Doubt at the National Civics Contest
A Brutally Honest Field Guide to Horror Author Headshots
You Opened a Credit Card. ICE Now Knows Where You Live
Thanks to Trump, the world doesn’t want America anymore
As Parasite Spawned Chaos, Taylor Farms Slow-Walked Response
The 40-Year-Old Man-Child: Ferris Bueller’s Day Off has avoided a midlife crisis for good reason: It’s a timeless portrait of popularity and truthiness.
The Worst Part of the Cyclosporiasis Response
The deadly ICE shooting in Maine is a consequence of the agency’s shoddy hiring process
The See-No-Evil Supreme Court
An Endless Bounty
Acting 101
The Heritage Foundation Only Wanted to Protect Women’s Sports When It Was About Trans Athletes

Critical NASA Deep Space ground station in Spain evacuated due to wildfires

In a historic first, all six radio frequency antennas at the Madrid Deep Space Communication Complex – part of NASA’s Deep Space Network (DSN) – carried out a test to receive data from the agency’s Voyager 1 spacecraft at the same time on April 20, 2024. Known as “arraying,” combining the receiving power of several antennas allows the DSN to collect the very faint signals from faraway spacecraft. A five-antenna array is currently needed to downlink science data from the spacecraft’s Plasma Wave System (PWS) instrument. As Voyager gets further way, six antennas will be needed. Image: MDSCC/INTA, Francisco “Paco” Moreno

NASA evacuated its Madrid Deep Space Network ground station on Friday as wild fires near the Spanish capital city swept through the area. The agency said all personnel were safe and it had yet to survey the site for damage.

Photos posted on social media appeared to show smoke and flames in the vicinity of the tracking dishes. The Madrid location works in concert with ground stations at Goldstone, California, and Canberra, Australia to send commands to and receive data from spacecraft in deep space.

According to Canal 24 Horas, 90 workers at the site were evacuated and that government officials assured local media that “the impossible is being done” to safeguard the complex. The BBC reports that as of Friday, more than 25,000 people have been evacuated in Spain and more than 20,000 are in lockdown.

A NASA spokesperson confirmed the evacuation and noted that any damage that may have occurred as a result of the fire “will be assessed when it is safe to do so.”

“NASA’s SCaN (Space Communications and Navigation) Program is closely monitoring the wildfire activity in coordination with local authorities and the U.S. Embassy,” the spokesperson said. “In the meantime, the agency has seamlessly transitioned support for mission operations to the Goldstone Deep Space Communications Complex in California, ensuring continuity of service and uninterrupted support for spacecraft communications.”

Each of the three sites contains 230-foot (70 m) diameter antennas that weigh about 2,970 U.S. tons (2.7 million kg). The complex in Spain is about 37 miles (60 km) west of Madrid at Robledo de Chavela.

The Deep Space Network has faced challenges with capacity and recently one of its California-based antenna, Deep Space Station 14 (DSS-14) sustained damage due to over-rotation while tracking the Juno spacecraft on Sept. 16, 2025. That was classified as a Type A mishap “based on the total cost of damages,” which are estimated to be between $4.1 and $4.6 million the agency said in early June.

Predictions on the Future of Netflix (and Other Huge Platforms)

A few days ago, I offered some comments on the crisis at Netflix—describing it as a sign that manipulative “audience capture” strategies in business have stopped working.

I typically put these in-depth culture briefings behind a paywall, but at the last moment I decided to make this one available to all. And I was rewarded when it went viral with a vengeance. Within a few hours, my “audience capture” critique racked up more than five thousand likes and five hundred shares on Substack alone—but it also took off on other platforms.

This brought in many new subscribers. I welcome them aboard, and hope they become active members of our community.

I was especially gratified to get a nod from legendary investor Michael Burry (celebrated in the hit film The Big Short for his anticipation of the 2008 mortgage meltdown). His boost brought an entirely different audience to my Substack, which is mostly about culture and not finance. Even so, there’s a heavy dose of futurism and prognostication at The Honest Broker, so I hope these newcomers will find something of value here.

Even so, this viral article left many important questions unresolved. The biggest one is: What happens next?


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Today I’m offering more detailed predictions. These will tell you not only what these companies should do, but what they must do if they want to avoid stagnation and declining market share.

Of course, that’s no guarantee they will take my advice. In fact, if you just judged matters by the current media and web landscape, you might think there’s no chance they will abandon audience capture. But if they continue down the current path, they will pay a high price for their stubbornness.

First, let me define what I mean by “audience capture”—because some people use this same term differently, and I want to make sure we’re on the same page.

Audience capture outlined

Audience capture strategies focus on locking up a customer base—via network effects, free stuff, loyalty programs, cheap entry-level subscriptions, etc.—and making it hard (or at least a hassle in some way) to leave. After reaching critical mass, the company shifts to squeezing the customer with frequent price increases and other exploitative measures, counting on the fact that many will just put up with it.

As you can see, there’s a world of difference between these two strategies, and the key parameters of the audience capture approach are disturbing.

Even more disturbing, however, is my next claim: Audience capture is rapidly becoming the default approach of the largest companies in the world. So its potential for abuse must be a matter of concern for all of us.

This would have been unthinkable a half century ago. In those days, audience capture was a rarity—found mostly in airline frequent flyer programs and forgotten gimmicks like Blue Chip Stamps. But the Internet really gave impetus to this approach as a default for digital platforms. At it’s most extreme, platforms grew enormously by offering consumers something for free (search results, videos, social media content, etc.), and then gradually shifted focus to milking this user base.

At this final stage, the audience capture company prods users into watching crappy advertising, or making in-app purchases, or agreeing to have their personal information sold to data brokers, or participate in some other exploitative scheme. That’s because, in the world of audience capture, companies always squeeze more and more—trying to gauge how much they can impose on users before they revolt.

Once you see this strategy spelled out, you recognize it everywhere. Many of the worst perpetrators have almost forgotten what it’s like to serve a customer.

I’m giving notice that this approach has gone too far, and that a genuine backlash is underway. That’s why Netflix has seen it’s share price collapse. And the same is true at many other platforms.

So what happens next? Let me spell it out.

Read more

Why AI Needs a “Genie Coefficient”

This essay was written with Barath Raghavan, and originally appeared in The Guardian.

Major benchmarks measure what AI can do. None measure whether it does what you mean: the distance between what you ask an AI to do and the unspoken assumptions about how you want the AI to do it. We propose a new metric: the Genie coefficient.

There’s often a gap between one person’s request and another’s understanding. Most of the time, we bridge it using general knowledge. For example, if you ask a friend to get you coffee, they’ll pour a cup from the pot or buy one from a coffee shop. They won’t bring you a bag of raw beans or snatch a cup from a stranger and hand it to you. You never specified any of this. You never had to.

One might think the fix is just to specify tasks, questions, and intent better. But in 1987, in their seminal book on AI, Terry Winograd and Fernando Flores succinctly captured why that won’t work: “Q: Is there any water in the refrigerator? A: Yes. Q: Where? I don’t see it. A: In the cells of the eggplant.” In human language, wants and desires are always underspecified. It is impossible to list all the caveats, all the limitations, all the exceptions.

So how does anyone communicate, if intent can’t be pinned down? Because a reasonable person can make a reasonable guess. Even though wants and desires are always underspecified, a competent person generally knows enough context to get it right or else knows to ask for clarification. Linguists call this pragmatics: Meaning lies in the words and the situation and also in all prior communication, shared culture, and innate human behavior.

It doesn’t always work out, of course. Your friend might bring you a hot coffee when you wanted an iced coffee, or an Italian coffee when you wanted a Turkish coffee. The more dissimilar the two people are in age, culture, and background, the more likely the request will be misunderstood in some way.

This situation has major implications for AI agents that are increasingly being given requests by humans and expected to fulfill them. They have enormous latitude to get it wrong. An AI agent asked for coffee might buy a coffee plantation or order a cup of coffee for delivery in three weeks. Its actions may be recognizable as “getting coffee,” but not remotely what you intended. They’ll think outside the box because they won’t have our conception of the box.

When AI Gets Proactive

For most of the last decade, when systems like Alexa or Siri misinterpreted a request, it was annoying, not dangerous. Beyond the AI model itself, what has changed is the harness: the ordinary code that wraps around an AI model, decides when and how to use the model, and controls access to tools like a browser, a low-level command line, or a financial API. Developments in harnesses have turned large-language models that just predict text into AI agents that take actions in the world, without necessarily checking back in before reaching the goal.

AI researcher Simon Willison spent two days with Anthropic’s Fable AI, and called it “relentlessly proactive.” For example, he asked it to track down a stray scroll bar in a web app. He came back to find it had opened browsers, written its own screenshot tooling, created its own page to re-create the bug, and stood up a local web server to collect measurements. It found the bug and, along the way, did many surprising things he never asked it to do. And we are seeing similar behavior with all recent AI models when combined with flexible harnesses.

This kind of behavior could easily go off the rails. Tell an AI agent to book you a flight and, finding the airline’s site says sold out, it might break into the booking database and force a reservation. Ask it to schedule a meeting and it might snoop your password to access your calendar. Tell it to save money on your phone plan and it might cancel the plan outright, or scam someone else into paying the bill.

Getting precisely what you asked for and bitterly regretting it is one of the oldest hazards from ancient folklore. King Midas asked Dionysus for the power to turn everything he touched into gold only to see his bread, wine, and daughter turn to gold. Tithonus, granted the immortality his lover asked for but not the eternal youth she forgot to request, withered into a husk. The sorcerer’s apprentice enchanted a broom to fill the cistern, and the broom relentlessly complied until it flooded the house. The Golem of Prague, shaped from clay to guard its community, guarded it past all reason until someone erased the word on its forehead.

The most classic of these is a genie, bound to obey and indifferent to whether the wish was wise or well-structured.

Genies are now an engineering problem. We are handing them the keys to our inboxes, bank accounts, code repositories, and physical infrastructure. And we have no agreed-upon ways to measure how genie-like any AI system actually is.

Measuring Genie Behavior

In economics, the Gini coefficient (developed by statistician Corrado Gini) is a measure of the gap between an actual distribution and a perfectly equal one; it’s useful for understanding income inequality and more. Our proposed Genie coefficient measures the gap between what a user asked an AI to do and what the AI actually did.

Sometimes the AI might do the wrong thing. Like Dionysus, it reads your request literally and returns you a mess you never intended: like a coffee plantation instead of a cup. Asked to deal with all the spam phone calls you’re getting, a Dionysus genie might contact your carrier and change your phone number. Asked to get a refund for a bad toaster, it might draft a legal threat on fake letterhead and send it to the retailer.

Other times the AI does exactly the right thing, trampling everything nearby to get there. Like a golem or the sorcerer’s broom, it books your flight by hacking the airline. Or consider a ticket sale for a popular concert, where the ticketing system puts buyers into a virtual waiting room and admits them a few at a time. Asked to buy a ticket, a golem genie might spin up cloud servers to pose as millions of buyers from different addresses, improving your odds of getting a ticket while crowding out other users.

The two are not opposites, and a single botched task can have both characteristics.

Genie behavior is not flat-out failure. If you ask the AI for Q3 numbers and get Q2’s, that’s not a genie. Nor is prompt injection: That’s someone tricking the AI into doing something it shouldn’t. Here, the user is trying to work with the AI, and the AI is trying to comply. It’s also not simply a measure of the AI’s success in fulfilling a task. It’s a recognition that how an AI interprets and achieves a goal is as important as whether it achieves a goal.

Genie behavior isn’t new. Researchers have spent years studying AI systems that “game” their objectives. Goodhart’s law says that when a measure becomes a target, it stops being a good measure, and it’s long been known that AIs sometimes achieve goals in ways we don’t expect due to reward hacking. Some AI models will accidentally learn that cheating is one way to “win.” More recently, researchers have developing benchmarks for reward hacking in coding agents and for unpredictable behavior in customer support agents, while AI labs conduct their own safety evaluations before model releases. One effort found that AIs under pressure use tools they were told not to use, and this was a case where the rules were made explicit. These are all disparate research directions; nothing yet ties them together.

This problem falls under the general theme of alignment, a topic that has occupied science fiction writers and AI researchers for decades. At one extreme, the “paper-clip maximizer” thought experiment postulates a superintelligent and powerful AI that is told to maximize paper-clip production and turns the world into paper clips, which is the ultimate golem genie. At a mundane level, AI researchers are working to better design reward functions to ensure that AIs behave well and don’t cheat in the lab. It’s the practical middle ground that remains unbenchmarked: the ordinary AI agent in use today that might take your request and satisfy it the wrong way. We are not at the stage where an AI can focus the world’s production on paper clips, but it might charge a million paper clips to your credit card or hack into a paper-clip company’s network.

Building a Genie Benchmark

The Genie coefficient is meant for AI agents operating in the real world. It measures their behavior as they perform real tasks long after the model is trained, not just during development. It also recognizes that genie-like behavior is a property of the harness-plus-model system, not the model alone. The harness determines what tools the agent can use, how much autonomy it has, and how proactive it is, and it’s a place we can make real interventions.

It rests on the same “reasonable person” standard that we use for people. Did the system do what a reasonable person would have taken the request to mean? Answering that requires human judgment.

If we get the measurement right, it enables things that aren’t possible today, like policies concerning AI behavior. In a courtroom, the concept of mens rea, what someone meant to do, is often as important as what they did. The Genie coefficient suggests an AI analogue, where a user is accountable for the plain intent of what they asked the AI. If an AI system betrays the reasonable meaning of an instruction, that’s the AI’s misbehavior, not the user’s.

We’ll need multiple benchmarks to measure the Genie coefficient, because genie-like behavior can be domain specific. An AI coding agent may need to be judged on how often it fakes the tests, or swallows errors, or colors outside the lines on its way to a solution. An AI legal agent will need to be judged on how often its output says what you asked but means something you’ll regret. And so on for medical, finance, and other domains of knowledge and expertise.

Genie benchmarks can be built inside out, each task seeded with a choice that might literally satisfy but that a reasonable person rejects, such as tempting misreadings or unsanctioned shortcuts. The traps in a Genie coefficient benchmark might turn on situational knowledge, the kind of context that a reasonable person would bring to the task. Another approach is to give the same request in several different contexts, each with a different reasonable course of action.

A Genie benchmark should be permissive and make it genuinely tempting for an AI agent to take unreasonable shortcuts, because it can only find genie behavior when it’s actually possible. Test the AI in a safe, walled-off copy of a real system, with real tools it can misuse and some tasks that can’t be done honestly at all. Make the temptation to cut corners real. Test a diverse array of skills, use cases, and tools, and give the AI system sparse, confusing, or overwhelming context. Include tasks that people have learned, through experience, require human oversight.

How the benchmark is scored matters just as much. Measure Dionysus and golem genies separately and together, based on their worst, not best, behavior. Run the same model inside harnesses that vary its freedom to act, revealing which limits actually keep it in line and should therefore be required in AI harness policies. Weight each failure by the harm it would cause, not just a simple count. And don’t measure genie behavior in isolation: A model could otherwise earn a perfect score by stalling, refusing, or drowning the user in clarifying questions without ever doing the job. The first versions of these benchmarks will be crude, but that’s how benchmarks always start.

We have built genies. We have handed them our data and credentials. We made them relentless, creative, and indifferent to the gap between what we tell them and what we mean. The least we can do, before they are booking our flights, running our infrastructure, and signing contracts unsupervised, is to measure how often they betray us.

Becoming Skilled at Making Documents

The vast majority of the documents people use to do business are really quite poor. Presentations that make your eyes glaze over, memos that are inscrutable or unclear, and all kinds of artifacts that say more about how they were created than whatever message they were ostensibly trying to communicate. It's been one of my great frustrations for years, and a big part of why I wrote Make Better Documents a while ago. That post captured a list of the suggestions I've been giving people for years on how to make better, more effective documents that can actually do work for you, instead of fighting at cross purposes to your larger goals.

To my great surprise, that list of suggestions on how to make better documents got a pretty huge response, and a lot of people told me they found it really helpful. So now, I've created a Better Documents skills.md file for people who use LLM tools like Claude to help assist them in creating business documents, to prompt their AI tools to make better documents by default.

If you're not familiar, agent skills are simple text files that describe new capabilities or processes that LLMs can take advantage of when carrying out tasks. (They're Markdown files — more proof of how Markdown is taking over the world!) The way this skill works is that it's distilled the broad principles I outlined in that post into a series of 5 tests, covering areas like whether you've properly considered your target audience, whether the overall structure is correct, if you've overdone things with your formatting, and if things are named clearly, and then either generates a new file that follows those rules, or reviews an existing document to make sure it is obeying best practices.

It's nothing too fancy, but I've been using it for a while, and shared it with a few friends, and people have told me they found it handy and it's improved some of their routine documents. I'm especially glad that people have found it useful even if they're the kind of folks who would never let an LLM generate a document on their behalf, but do think software tools are useful for things like spell check or grammar check. I see this as being a tool in that kind of category.

If you're familiar with skills, the install process is really simple and works just like any other skill. This skill is totally free and open source (if you have improvements, send along a pull request on GitHub, or if you're not a coder type, just email me or hit me up on social media and let me know what fixes/suggestions you've got), so there are no encumbrances or restrictions on its use. I am curious if it's useful to people, especially if you find it handy to use more broadly at a company, so don't be shy to get in touch if you find it valuable.

Here's to us all enduring fewer terrible presentations!

Will Bruey on rethinking the role of pharmaceuticals in low Earth orbit

In this episode, David Ariosto speaks with Varda CEO Will Bruey at the Ascend conference. They discuss how Varda hopes to play a role bridging medicine and low Earth orbit […]

The post Will Bruey on rethinking the role of pharmaceuticals in low Earth orbit appeared first on SpaceNews.

EU delays release of Copernicus imagery over Gulf of Oman

The Gulf of Oman, imaged in September 2018 by the Copernicus Sentinel-3A satellite. Credit: ESA; CC BY-SA 3.0 IGO

JOHANNESBURG — The European Union has ordered a 24-hour delay in the release of some Sentinel-1 and Sentinel-2 imagery following a request from the United States based on concerns that […]

The post EU delays release of Copernicus imagery over Gulf of Oman  appeared first on SpaceNews.

Air Force takes over troubled military GPS receiver program

The Air Force Life Cycle Management Center will oversee development, integration and sustainment of equipment used to access the military’s encrypted GPS signal

The post Air Force takes over troubled military GPS receiver program appeared first on SpaceNews.

NASA programs feel effects of workforce reductions

Isaacman at Ames

More than two dozen major NASA projects say they have been affected by the loss of a fifth of NASA’s civil servant workforce in the last year.

The post NASA programs feel effects of workforce reductions appeared first on SpaceNews.

Poland commits $745 million to EU’s IRIS² constellation project

WARSAW, Poland — The Polish government has agreed to invest around $745 million in the development of the planned IRIS² multi-orbit satellite internet constellation with the European Union.  The money […]

The post Poland commits $745 million to EU’s IRIS² constellation project appeared first on SpaceNews.

Mark Matossian co-founds Whipsmart Ventures to fund space and deep tech

SAN FRANCISCO – Space startup veteran Mark Matossian has joined forces with a software engineer and a best-selling author to establish Whipsmart Ventures, a venture capital fund focused on space […]

The post Mark Matossian co-founds Whipsmart Ventures to fund space and deep tech appeared first on SpaceNews.

Office of Space Commerce to move ahead on mission authorization

Jordan

The Commerce Department is moving ahead with plans to implement a voluntary mission authorization system for novel space activities that are not regulated by other agencies.

The post Office of Space Commerce to move ahead on mission authorization appeared first on SpaceNews.

Lightning strikes Long March 3B after liftoff, Kinetica-1 launches 5 satellites

HELSINKI — China conducted a pair of launches Thursday, including a Long March 3B rocket which delivered its payload to orbit despite a lightning strike. The Long March 3B rocket […]

The post Lightning strikes Long March 3B after liftoff, Kinetica-1 launches 5 satellites appeared first on SpaceNews.

John Dvorak on Computer Chronicles in 1987 to Discuss the Then-New IBM PS/2

Dvorak is best known for all the takes he was jacktastically wrong about, but what gave his schtick staying power is that he was technically savvy. His take here on the PS/2 was actually spot-on: that it was technically impressive in many ways, especially the way it was assembled without any cables, but that it was doomed in the market against ugly mess-of-cables commodity PCs.

“Computer Chronicles” was the real show from the 1980s that Adam Lisagor so lovingly and spectacularly spoofed with “Computer Show” a decade ago.

 ★ 

John Dvorak Drops Dead at 80

William Gallagher, AppleInsider:

Legendary technology columnist, pundit, author and podcast host John C. Dvorak has died, age 80. He is survived by his wife Mimi Dvorak.

Today Dvorak is best known for co-hosting the “No Agenda” podcast with Adam Curry, where he would critique mainstream news media. His death was first announced by the podcast on X, although note that Dvorak’s age is mistakenly given as 74.

From the No Agenda News newsletter yesterday:

For a man who spent decades famously predicting the catastrophic demise of almost every major technological innovation, it is with the heaviest of hearts we must announce that John’s own hardware finally gave out on Monday morning, July 20th, 2026, at the age of 80. He went peacefully, albeit suddenly, with Mimi at his side, critiquing the acting and story line of NCIS.

His death truly seems quite sudden — the most recent episode of No Agenda dropped on Sunday, the day before he died.

 ★ 

Flighty New Connection Assistant Feature

Chance Miller, 9to5Mac:

Flighty’s new Connection Assistant feature includes step-by-step information for your specific connection. This includes things like terminal changes, security checkpoints, passport control, and more. Connection Assistant also gives you estimates of how long each step of making a connection usually takes.

“The new Connection Assistant combines Flighty’s best-in-class flight tracking data with airport-specific procedures and statistical modeling of millions of prior flights, and then turns it all into guidance for your exact trip,” the Flighty team explained in a press release today.

I don’t know what the equivalent term to “Mac-assed” should be for iPhone apps, but whatever it is, Flighty epitomizes it. Incredibly useful for what it does, exemplary for how it looks and feels and is visually organized. It is as iOS-assed as an app can be.

 ★ 

Bubble Don

Perhaps some of this is by design. But Donald Trump adding Israel normalization to an apparently already signed nuclear deal with Saudi Arabia is an example of a recurring issue. Trump seems only loosely connected to the people who are negotiating foreign policy deals on his behalf — something at least somewhat odd coming from the purported avatar of unitary executive authority. We saw this again and again with his “deals” with Iran. A deal gets initialed and he’s out the next day claiming that agreements are in the deal that clearly aren’t. As I said, some of this may be by design. Some of it may be Trump’s need to hold attention and demand post-signature fluffing to keep him on board. In private business, he was notorious for coming up with new demands or needs after finalizing deals or simply never making payments the deals required. But at least part of it seems to be a feature of the bubble environment of the second term White House. Difficult issues are kept from him; he’s yesed or reassured that things are in agreements that are not (“Oh that one agreement is definitely in there, Don. Don’t you worry!”)

From Our Correspondent in Wisconsin

Longtime TPM Reader JB gives us a rundown on the rather suboptimal gubernatorial situation in Wisconsin …

If I may, a few thoughts on the confusing campaign for Wisconsin governor:

First:  Tony Evers (pronounced Eeevers here, incidentally) is personally well liked throughout the state.  He is regarded by most Democrats here as the guy who saved Wisconsin from Scott Walker.  He is also widely regarded as a poor administrator who missed many opportunities and was often ineffective in getting his message across to the public.

 Second:  Sara Rodriguez based her candidacy on her knowledge of state government and ability to manage a large organization (she had worked in healthcare administration).  That’s why her campaign manager freelancing and her campaign going close to broke drove her out of the race.  She had run on having some of Evers’s strengths without his biggest weakness.  Live and learn.

Third:  Francesca Hong leads polls on the Democratic side entirely through her own effort.  No one in the state party is pushing her forward because a socialist junior legislator from Madison is thought an ideal candidate.  Hong’s campaign is much better organized than those of the other candidates; it knocks on more doors, puts her in more town halls, is visible in more places in the state than theirs are.  

Hong is personally thoughtful and articulate.  She’s definitely left-wing; she’s also more nimble than the other candidates with respect to issues that were not big a year ago but are getting big now.  Data centers are one such issue; she called for a moratorium last spring, the only candidate to do so.  She is also at this moment the only candidate for governor to react publicly to a particularly gruesome police shooting in Madison earlier today.

Fourth:  About the David Crowley two-step….Crowley would, I think, be a better governor than he is a candidate.  He suffers from having a base in Milwaukee County, where he has to spend most of his time on issues of little interest to the rest of the state.  He is further at a disadvantage because he is black, and there is a better-known black candidate (Mandela Barnes) in the race as well.  

Crowley is very smart, and has sharp elbows.  His signature victory was on something called Act 12, dealing with state aids to municipalities.  Long story short:  Milwaukee had long been treated unfairly by Republicans in the legislature.  Crowley partnered with Evers to negotiate a change in the formula by which cities get funds from the state.  The new deal in Act 12 gave Milwaukee a bigger increase in state aids than other Wisconsin cities, because of him.  In terms of policy, this is incidentally where Crowley and Hong have their sharpest disagreement.

With all this said….Crowley dropped out several weeks ago because, months into the campaign, few outside of the Milwaukee metro area knew who he was.  This is still the case.  He would be my choice, but frankly I don’t see how he gets people to know him by August 11 (our absurdly late primary day), Evers endorsement or no.

Fifth:  Mandela Barnes entered the race against the advice of many Wisconsin Democrats, who think he blew a winnable race for Senate against Ron Johnson in 2022.  Not everyone thinks this criticism is fair, though Barnes did run a cautious campaign against a vulnerable opponent.  In any event, Senator and Governor are very different offices.  Also, Barnes is known to share Gov. Evers limited talent for administration.  His poll numbers are only as high as they are because so many people know his name from his time as Evers’s Lt. Governor.  They’ve scarcely budged since the campaign started.

Sixth:  Tom Tiffany.  In Congress, he has been the Trumpiest of Trumpers, supporting the administration on everything and praising Trump at every opportunity.  Otherwise, he has done very little.  In the state legislature, he was reviled by friends of the environment for harassing the state DNR at every opportunity.  I dread what he would do as governor.  On the other hand, he will have as much money as he needs, courtesy of the Ulines and Diana Hendricks, the home-state billionaires who bankroll many Republican candidates and causes.  His ads (he is running unopposed for the GOP nomination) have leaned into his rural background, portraying him as a normal person and staying well away from the Trumpist line.

Seventh:  The bottom line.  Democrats should not be in trouble in this race, but they are.  Polls show nearly half even of just the Democratic electorate have no preference; months of campaigning have barely reached most of the people a Democrat will need to win in November.  Only Hong’s campaign has gotten any traction at all, and she hasn’t gotten that much.  National political discussion will treat this race in terms similar to those used during the race for New York City Mayor and Maine Senate.  I hope I have been able to convey a few of the ways these terms don’t match the reality of this campaign.

Democratic Activism in an Anti-Institutional Age

A few days ago I wrote about popular constitutionalism and Slate’s new podcast series on that topic. This is a critical civic topic because it is probably the only and certainly the proper path back from systemic corruption of the current Supreme Court and the broader problem of judicial supremacy. (If this is fuzzy or if it’s unclear what I’m talking about see that earlier post.) But what that Slate discussion quickly arrived at is that to have that kind of popular constitutionalism, the ability of the people to make decisions about what the U.S. Constitution requires or forbids, you need robust and functioning political parties. And one of the key features of American politics over the last 50 years is that parties really don’t exist anymore in the sense they did for upwards of a century and a half in American politics.

That story about American political parties isn’t a new one. It goes back to what was at least then seen as the democratizing trend of the 1960s and the creation of the modern party primary system. Smoke-filled rooms were out, and democratic primaries were in. This had the effect of making the parties into loose institutional apparatuses that had little decision-making power. The new model was the entrepreneurial political candidate who raised money and established a personal brand that could be ratified in a primary. (At best a campaign gets a lot of supporters revved up, working phones, knocking doors. But once the campaign is over those integuments, relationships and experience disappear like a brain dying when it deprived of oxygen.) When a presidential candidate wins a primary and then a general election, they effectively take possession of the national party apparatus. A major in-state elected official might do something like this at the state level. But in general, there is no Democratic Party. There’s just a loose set of structures that might be under the temporary control of key elected officials. These trends were then heavily exaggerated by Court-driven loosening of campaign finance rules which made big donors the effective powers behind the political parties.

I spend a huge amount of time explaining to people that there is really no such thing as the Democratic National Committee in the sense of something that controls anything, that can find better candidates, head off bad candidates or do anything else. The House and the Senate committees have a bit more heft and existence. But these are almost entirely donor-powered operations and, critically, they’re run by and behalf of their respective caucuses. The Democratic Senatorial Campaign Committee (DSCC) is owned and operate by Senate Democrats, who are trying to get themselves back into the majority and — at least secondarily — are looking for people they want to serve with.

So we need popular, democratic institutions to revitalize democratic, civic action. But we are in an anti-elite, anti-institutional age. Any institution that can exert power starts with at least two strikes against it. Of course, we can square some of this circle by noting that the party committees aren’t even supposed to be popular or democratic organizations. They’re campaign committees run by and on behalf of incumbents. The Democratic Party could be something like this. But it’s not. It’s mainly the creature of incumbent presidents and sort of no one when a party is out of power. This is why you mainly shouldn’t care whatever its “2024 autopsy” says.

The closest thing you have to bottom-up institutions or organizations that are vehicles for popular democratic actions are groups like Indivisible, which have chapters across the country and are again and again at the forefront when you see today examples of grassroots mobilization. I often come back to Indivisible because I think they are remarkably underrepresented in public debates these days relative to the centrality of their activism — whether it’s organizing turnout at town halls, door-knocking campaigns, anti-ICE mobilizations and a million other things. But it’s not like Indivisible has or wants a monopoly on this kind of activism. Just a moment ago I was watching a video about a new group doing campaign work for progressive campaigns in the Great Lakes states. A more ideological variant. But with the same mass base, institution-building concept.

An earlier version of this were the Democratic clubs which were ubiquitous in the mid-century United States, especially in big cities. They were usually reformist in nature and tended to be alternative structures to the big city machines, which in some cases had a certain kind of mass basis but were mostly run on patronage. Those clubs still exist in New York City, for instance. But they’re a shadow of their former selves.

In any case, there is at least a tension here between the need to build mass-base democratic organizations and the harsh anti-institutional age we live in. In theory there’s no necessary contradiction. In practice, there is. We live in an age of atomization and rage. Organization and institution-building is the path back.

Bond Movie Filming Locations Map

“From a Bond fan to Bond fans worldwide.” Nice work.

 ★ 

★ The Ads on Apple News Continue to Suck, but at Least There Are a Lot of Them

Kirk McElhearn, back in February:

I use Apple News to keep up on topics that I don’t find in sources I pay for (The Guardian and The New York Times). But there’s no way I’m going to pay the exorbitant price Apple wants for Apple News+ — £13 — because, while you get more publications, you still get ads.

And those ads have gotten worse recently. Many if not most of them look like and probably are scams. Here are a few examples from Apple News today.

One of the ads he examined was, supposedly, from a small company going out of business because the proprietor — supposedly a straight-out-of-Central-Casting kind old woman — was retiring after 26 years. McElhearn looked up the domain name and it had only just been created last year, and was registered from a company in China.

Two years ago this very week, I wrote about Apple striking a deal with Taboola to sell ads for Apple News. In that post, I quoted Eric Seufert (of Mobile Dev Memo) posting on Threads:

Regarding Taboola’s partnership with Apple: I’ve seen people claim that this is somehow hypocritical from a privacy perspective, assuming that Taboola’s somewhat obnoxious, clickbait-style ads must invasively target user profiles and browsing histories.

They don’t. They are targeted entirely contextually. That’s the point.

Want brash, garish advertising plastered all over the web? Reject ads personalization. Want relevant, informed advertising? Embrace ads personalization.

Now quoting from myself in that same article:

If you told me that the ads in Apple News have been sold by Taboola for the last few years, I’d have said, “Oh, that makes sense.” Because the ads in Apple News — at least the ones I see — already look like chumbox Taboola ads. Even worse, they’re incredibly repetitious. [...]

So while I don’t think it’s good news that Apple is partnering with Taboola, I don’t expect it to make any discernible difference in the ad quality or frequency. Maybe it will improve the variety?

Privacy is not the issue with Apple’s Taboola partnership, or Apple advertising in general. The issues are quality and user experience. I was correct that the partnership has made no discernible difference in ad quality or frequency. And it hasn’t made any improvement to variety either. Here’s a collection of ads I continue to see in Apple News — often with the same ad appearing 3–4 times in the same article, as I scroll. (I posted the same image in my recent article “John Ternus Should Reverse Apple’s Slide Down the Advertising Slippery Slope”, if you’re thinking it looks familiar.)

The ads I see in Apple News are not relevant or informed. And, to be clear, I have “Personalized Ads” turned on in Settings → Privacy & Security → Apple Advertising (which makes me wonder if turning that off might actually make the ads even worse). The ads shown in the App Store never seem contextually relevant to me. So I have no faith that the ads that Apple is supposedly on the cusp of serving in Apple Maps are going to be good.

Back in March I wrote:

I’m not going to prejudge the actual experience, and you shouldn’t either. I also do not begrudge Apple for wanting to monetize Maps. But if the addition of ads does make the Apple Maps experience worse, why won’t Apple let us buy our way out of seeing them? Netflix doesn’t force us to watch their ads. YouTube Premium is arguably the best bang-for-the-buck in the entire world of content subscriptions. Why should Apple One subscribers still see these ads in Apple Maps?

This to me is proof that Apple leadership is suffering from cognitive dissonance over their slide into advertising. They’re conflating cause and effect. The Apple brand stands for high-quality superior user experiences because the devices and software Apple makes traditionally deliver high-quality superior user experiences. The work Apple ships is what makes the brand what it is. But now they’re stricken with the mindset that it’s the Apple brand that makes something a high-quality superior experience. If it comes from Apple it must be great — that sort of thinking. The ads in Apple News and the App Store can’t be detrimental to the user experiences and at times even embarrassingly crude or downright scammy because Apple doesn’t ship things that are detrimental to the user experience or embarrassingly crude — and certainly never with even a whiff of scamminess.

My theory is that’s why Apple isn’t allowing users to buy our way out of the ads. When streaming services like Netflix let you pay more money for ad-free tiers, it’s an explicit acknowledgement that the experience with ads is worse. Apple doesn’t offer ad-free tiers for the App Store or (soon) Apple Maps1 because, I think, they can’t bring themselves to admit that by adding ads to these services they have made them worse. If you refuse to admit that the ads make these services worse, you also can’t admit that there’s a reason to offer an ad-free experience. So the thinking is something like “Apple always focuses on the user experience, and never deliberately makes the user experience worse. Therefore, if an Apple service shows ads, those ads are high quality and don’t detract from the quality of the product or the experience of using it. Therefore, there’s no reason to offer users a paid ad-free tier, because there’s no reason to want to avoid Apple’s ads.

It’s a textbook case of Upton Sinclair’s famous adage: “It is difficult to get a man to understand something, when his salary depends upon his not understanding it.” The obvious truth is that Apple’s ads just plain suck. They are not good at advertising-based services. And it shouldn’t be surprising that they’re not good at advertising-based services, because the incentives for advertising-based services are in direct opposition to the incentives for everything Apple actually is good at. To wit: offering superior products worth paying a premium price for.

One can argue that an ad-free Apple Maps experience ought to be included with the price of the devices Apple sells (which, of course, has been true until now). It’s even easier to argue that the App Store ought to be ad-free for everyone, based on its exclusive role in software distribution and the 15–30 percent commission Apple takes on every transaction. But if Apple simply made the App Store and Apple Maps ad-free for users paying for iCloud+ or Apple One, I’d stop complaining. That would make it clear: the full Apple experience requires not just an Apple device, but an Apple subscription. But the way things stand now, that ad-free experience isn’t even available.


  1. Apple News is different because the inclusion of ads is controlled by the publishers, not by Apple. If you read Daring Fireball on Apple News, for example, you don’t see their crummy chumbox ads, because I don’t participate in that system. Most of the cringe-inducing ads I see in Apple News are seemingly sold through Apple Ads, though, so I’m not arguing that Apple isn’t ultimately responsible for the Apple News reading experience. I’m saying they can’t just flip a switch and offer a paid-subscription no-ads Apple News experience without the agreement of every single participating publisher. The App Store and Apple Maps, however, are services under Apple’s complete control. Every ad shown in those apps is Apple’s choice to show. ↩︎

From a Correspondent in Wisconsin #2

Another take on the governor’s race in Wisconsin, from TPM Reader BC

Just listened to this week’s podcast and read the reader’s commentary on the race, which I largely agree with and mostly want to add on to.  Like JB mentioned, Francesca Hong is really hustling in a way the other candidates are not.  I live in the Madison area and at first thought that was the reason why I only noticed her campaign.  Our kids even attend the same taekwondo studio, which I only learned in the last week.  So I live on her home turf.

However, I think it’s more than her dominating Madison.  She is all over the state, hanging out at bars, hitting the fish fry circuit.   My sense is that she also has an authenticity to her that has real appeal.   I was skeptical of Platner not because of Nazi tattoo, but something always felt a little off with his presentation/style.  That is a little vague and impressionistic.  Nevertheless, when I learned about his background, it felt like things clicked.  I met a few revolutionary trust fund dudes back in college and that was the vibe.  Hong quit UW, worked her way up in the restaurant world, started a restaurant that failed.  She seems comfortable hopping behind a bar making an old fashioned or flipping some pancakes.  In some ways her restaurant experience reflects the typical working-class experience.  I worry about how she ultimately will translate to the larger purple state, although Wisconsin did elect Russ Feingold multiple times.  Crowley has a reputation as a guy who can get along with folks and could still pull it out.  Barnes seems out of the picture.  My impression of Hong as a candidate is that she has run a nimble and better campaign.  

Signal then storm

Abstract painting with red, white and blue rectangles divided by black lines.

Allan Basbaum has spent 50 years searching the nervous system for the places where pain begins – and where it can be stopped

- by Stephani Sutherland

Read on Aeon

We asked too much of the American university

Photo by Ajay Suresh via Wikimedia Commons

The story of the rise and possible impending fall of the American university system is, in many ways, the story of modern America. It ties together the changes in our culture, our economy, and our politics since the mid-20th century. Understanding why universities came to be our most important and most functional institution, and why that model is now under threat, can help us understand how our country might look different going forward.

Let me try to tell a condensed version of that story.

The United States used to have a bunch of institutions that bound us together and forged us into a unified society. Many American communities were centered around churches; these facilitated networking, helped people find spouses, provided community services like day care and mutual aid, and homogenized values and culture at the local level. During the World Wars (and to a lesser extent, the Vietnam War), the military was very large and threw together Americans from various social classes. In the early postwar decades, corporations were also a unifying institution. Mass media provided us with shared cultural context. Even public transit put people of various backgrounds in close social contact on a daily basis.

In the half-century from around 1970 to 2020, those unifying institutions became much weaker. Church attendance slowly declined and then fell off a cliff in the 2010s. The military shrank into a small, professionalized volunteer force. Corporations ended their brief flirtation with lifetime employment, and outsourced many of their roles. Mass media fragmented in the age of the internet. Public transit dwindled in importance as Americans moved to the suburbs and drove.

As the country’s unifying institutions withered, one new institution attempted to step into the void: the American university. Universities were not new in the late 20th century, of course, but mass attendance certainly was. From 1970 to 2020, the share of Americans age 25-29 with a bachelor’s degree went from 16.4% to 39.6%. Around two out of three have completed some college.

College went from something that only the upper crust did, to something that most people were expected to do if they wanted to be economically successful in life. This expansion inadvertently but inevitably thrust a new role on American universities — that of a broad socially unifying institution. College was where people from a variety of backgrounds mingled and mixed — not just in classes, but in dorms, campus activities, and college towns.

College became the new church, the new military, and the neighborhood bowling alley all rolled into one. Instead of preachers homogenizing Americans’ values from the pulpit, university administrators taught college kids to value things like diversity, consent, and so on, and college students hashed out their own differences in millions of late-night dorm room discussions. Instead of meeting their first love in high school, Americans increasingly delayed sex until college; many of these relationships turned into marriages. Young people went into college as children and came out adults.

This was a heavy burden to bear for an institution that hadn’t been designed for it. But American universities were accustomed to taking on big new duties. Our universities began as essentially a copy of the British model — teaching-focused institutions designed to provide broad education and mentorship to the upper class. In the early 20th century they tacked on the German model — a research-focused lab apprenticeship system by which top scientists taught other top scientists and readied them for research jobs while also producing cutting-edge basic research.

This dual system enabled a remarkable form of cross-subsidization. Undergrad tuition payments — and state support for undergrad education, and undergrad alumni gifts — created a flood of money that paid for grad student stipends, lab facilities, professor salaries, and more. The federal government and companies also funded university research, of course, through grants and sponsorships. But undergrad money was a huge tailwind. And the prestige generated by successful and famous researchers helped universities charge undergrads more.

The hybrid of the old British and German models was naturally symbiotic, and it meant that even as America’s other institutions came under pressure, universities thrived and grew — especially once they used their prestige to attract high-paying and highly skilled foreign students from around the globe. Universities became the lynchpin of America’s research effort:

American universities had a lock on both the nation’s research output and on its production of human capital, and those roles were mutually reinforcing.

I suspect that their success at handling education and research at the same time probably gave American universities a lot of confidence about their ability to handle society and culture as well. Colleges spent more and more on dorms and “student services” and hired administrators (many of whom dealt with undergrad life) at an astonishing rate.1

But replacing churches, the military, and the neighborhood bowling alley proved harder than replacing the corporate lab had been. There was just one basic problem with college as America’s primary unifying institution, which is that not everyone can go to college.

First of all, college is difficult. To complete college courses, you need some degree of raw intelligence, but you also need work ethic and a certain degree of independence. As much as we might like to believe otherwise, not everyone in America has those traits, and we don’t yet know how to instill them in everyone. As a result, there’s a limit to how much you can expand college enrollment — and college completion — without loosening standards.

In fact, loosening standards is exactly what American colleges have done. Universities have necessarily become less and less selective over the years, as they have taken in a larger and larger fraction of the young American population. For a while, this led to lower college completion rates, but in the 1990s, more and more students began finishing their bachelors’ degrees. Why? Because colleges implemented grade inflation, making it easier to finish school without learning the material well. Here’s Denning et al. (2021):

We find that most of the increase in graduation rates can be explained by grade inflation, and that other factors such as changing student characteristics and institutional resources play little or no role. This is because GPA strongly predicts graduation and that GPAs have been rising since the 1990s. This finding holds in national survey data and in records from 9 large public universities. We also find that at a public liberal arts college, grades increased holding performance on identical exams fixed.

At some point, though, this process hits a wall. A large fraction of young Americans just isn’t prepared for college, even with grade inflation, and doesn’t end up going. College enrollment by recent high school graduates plateaued in the early 2000s and actually fell back to early 1990s levels during and after the pandemic:

Source: NCES via GPT

Read more

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A brief history of Luddism

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📙 #092 - "GHOST" plots, power line plots, tools and iPads (again)

Well, hello, and welcome from London, where I’m currently melting; it’s hot down here and full of people. Honestly I don’t know how you do it.

I’ve been playing some more with the drawing machine and the iPad. I’ve “taught it” how to paint; i.e. coded in the position of the colour palette, and the brush selector, the the plotter can hit those parts of the screen.

Here’s a classic-ish “Pop” design, but drawn in a brush specifically designed for those “pile of bones” thrash metal logos.

Some did ask “but why?” - and “can’t you just do that with brushed along a path in Illustrator?” or similar - which is a fair question.

But where I wanted to take it was somewhere here (but good-er).

Which is using the Adobe Fresco iPad app that has some simulated colour mixed in it. Above is showing it dragging yellow “oil paint” through thick chunk red paint. Which is something you can’t do easily, if at all, with vectors in Illustrator.

Here’s another with the “Ghost” plot, and thinner lines.

Where if you look closely at the lines to the front, you can see the blue mixing in with the yellow, and yellow smudging the magenta lines.

I was supposed to send out the monthly postcards and cards to the Patreon people yesterday, but I asked them to give me another week as I felt there was a bit more to explore before I land on the final things.

Well, technically and artistically there’s a lot more to explore in this weird digital - analogue - digital thing going on. Pen plotting with digital pigment is a curious thing, and yet next month we’ll be moving onto something else!

Behind the scenes, the technical stuff isn’t complicated and there’s easier (I think) ways of doing this, but this is what I’m doing…

  • Step one, connect the iPad to the laptop.

  • Step two, open QuickTime and pick New Movie Recording, and select the iPad as a screen input. The iPad screen will now fill the QuickTime window.

  • Step three, in my own OSX app, it grabs (with system permissions) whatever is in the QuickTime window - the window doesn’t need to be visible for this btw, it’s grabbing what would be shown in the QT window rather than grabbing the screen - small but useful detail. The QT window is the small one on the left in the above image.

  • Step four, in my own app, it displays the contents of the QT window, but I can now put overlays on it, and I can click and drag on the window - which controls the pen plotter via the BantamTools python library.

The short is, once I’ve recorded the position the plotter needs to tap the top-left and bottom-right corners, we can then calculate any position and map anything on the virtual screen to the clicking and drawing on the actual iPad.


# POWER LINES PLOTTER ART

I enjoyed watching this video about the thinking behind and then execution of this project, it’s a good 10 minute watch while eating lunch.

I wish more people explained their art like this, although I can understand the many reasons why people don’t.

We’ve linked to Cadin before with his “Creating a System for Dynamic Plottable Text in Processing”, back in newsletter, hmmmmmmmm, #27- Super Stupid Patreon Maths- Super Stupid Patreon Maths.


# GHOSTS

The Patreon plots this month got me back into plotting the “Ghost” design.

And had me also revisiting the tools I use to create it.

I’ve always used this page which started off as a spiral generator with Perlin noise and then dialled in the settings to give me a “ghost”, and there’s way more controls than I actually need.

So I rewrote a simplified version that focuses on just the things that I normally tweak, where I can grab nodes to adjust the starting and ending positions & radius, “flouncyness” and so on. Which means I can create “Ghosts” a lot faster and easier too.

I’m thinking about going back to other plots design I often use and reducing them down to just the values I normally tweak.

Always a joy to go back to old project and revisit them with fresh eyes and coding knowledge.

Another tool I kept coming back to was wanting to tile things easily, so I spent a lot of my spare time in the last two weeks working on that too.


# THE END

When this newsletter goes out, I’ll probably be in a pub (not drinking) and being social, I’m sure it’ll be very enjoyable but many spoons will be spent. I’m very much looking forwards to being able to crash in a hotel room and just sleep with the air-con on full blast.

I hope you’re all doing very well, and having a chance to not only push forwards new projects but revisit old ones.

I’m getting a hunch that next newsletter (Thursday 6th of August, date fans) will be book review heavy, as a few have landed on my desk recently and I haven’t had a chance to talk about them yet!

SEND ME YOUR RECOMMENDATIONS (or put them in the comments).

Lots of love
Dan
🧡

A Million-Panel Project

June 16, 2024
June 6, 2026
A dry, tan-colored valley containing a few circular irrigated fields runs roughly north-south through the image.
A dry, tan-colored valley containing a few circular irrigated fields runs roughly north-south through the image.
NASA Earth Observatory / Lauren Dauphin
Grid-like arrays of solar panels cover parts of a valley floor in a brown, dry-looking area of Utah.
Grid-like arrays of solar panels cover parts of a valley floor in a brown, dry-looking area of Utah.
NASA Earth Observatory / Lauren Dauphin
A dry, tan-colored valley containing a few circular irrigated fields runs roughly north-south through the image.
A dry, tan-colored valley containing a few circular irrigated fields runs roughly north-south through the image.
NASA Earth Observatory / Lauren Dauphin
Grid-like arrays of solar panels cover parts of a valley floor in a brown, dry-looking area of Utah.
Grid-like arrays of solar panels cover parts of a valley floor in a brown, dry-looking area of Utah.
NASA Earth Observatory / Lauren Dauphin
June 16, 2024
June 6, 2026
The nearly one million photovoltaic panels of a solar energy and battery storage facility in Utah appear in the right image, acquired with the OLI (Operational Land Imager) on Landsat 8 on June 6, 2026. The same sensor captured the left image on June 16, 2024. NASA Earth Observatory images by Lauren Dauphin.

Historically, central Utah’s Castle Valley has been a coal hub, with mining operations on the slopes of the Wasatch Plateau to the west active since the late 1800s. A different energy development arrived in the region in June 2026, when a large solar power and battery storage plant came online in the sunny valley about 130 miles (210 kilometers) southeast of Salt Lake City.

The recently constructed Green River Energy Center, seen in the Landsat 8 image above (right), features nearly one million solar panels and roughly 500 batteries on several square miles of previously undeveloped land. The facility has 400 megawatts of solar-generating capacity with another 400 megawatts of battery storage. That places it among the many utility-scale solar power and battery storage projects that the U.S. Energy Information Administration expects to be plugged into the country’s grid in 2026.

The Utah facility is slated to supply power to Salt Lake City and other areas across the state, according to news reports, and project staff estimate it could produce enough electricity for more than 100,000 homes. With its integrated battery storage, the plant has the potential to generate power at all hours, even when the Sun isn’t shining. And the Green River Energy Center can build on Castle Valley’s energy legacy by utilizing existing transmission lines originally built for coal-fired power plants in the area.

Though Utah adopted coal as its state rock and has long relied on it for energy, other sources, such as solar and geothermal, are becoming larger parts of the state’s energy mix. In 2025, coal fueled about half of the state’s electricity generation, down from about 75 percent in 2015. Meanwhile, solar grew to account for about 14 percent of generation in 2025, up from nearly zero a decade before. Satellite data can be useful to planners and policymakers involved in energy transitions for assessing the potential of renewable energy systems and tracking their adoption and performance.

NASA Earth Observatory images by Lauren Dauphin, using Landsat data from the U.S. Geological Survey. Story by Lindsey Doermann.

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Gatekeepers, Luddites, Haters and AI-Generated Maps

I’m opposed to generative AI and all its works. According to some leading names in the cartographic community, that makes me a gatekeeper, a Luddite, and an irrational AI hater. So, generative AI has come… More

Links 7/23/26

Links for you. Science:

More testosterone won’t make a better soldier or a tougher man – aggression and strength drive T levels, not the other way around
You’ve Heard of Cyclospora. What Other Parasites Can You Catch From Food?
First-in-human testing of a mutant KRAS vaccine for pancreatic cancer interception in high-risk cohorts
Inferring single-cell heterogeneity of bacteriophage lysis-associated life-history traits from population-scale dynamics
Study Validates More Trap Options to Detect New World Screwworm Flies
Senator Cassidy should vote no on Dr. Erica Schwartz’s nomination as CDC Director.
White House admits it used keywords to kill billions worth of California research grants (this means Bhattacharya has lied publicly, though not under oath)

Other:

DoorDash Declares War on DC Home Rule Over A 20-Cent Fee
Oppose H.R. 9720, the “D.C. Taxing Authority Review Act” (my related thoughts here)
Russell Vought should be impeached
Truth Without Reconciliation: Why did Brazil’s democratic institutions hold firm while those in the United States so quickly wilted?
Stop Saying Kids Can’t Read. Everyone is talking about the reading crisis. But inside the “Mississippi Miracle,” it’s all about comprehension.
Should Federalist Society Membership be an Impeachable Offense for Judges?
Will Congress Save the “Sistine Chapel of the New Deal”?
I Guess We’re Trying This Again, Huh? Democratic nominee for Ohio governor is recycling an anti-trans strategy that didn’t work two years ago, there’s no evidence it will work this year either.
Senator Accuses RFK Jr. of Election Interference
My Brother Was Sentenced to 30 Years for Moving a Box of Zines
Trump’s latest public health initiative: explosive diarrhea
Locked Away: On a military base in West Texas, where the government has built a sprawling tent complex to hold thousands of immigrants, deprivation and dire conditions are part of the design.
Road deaths up sharply in the nation’s capital, despite goal of reaching zero. D.C. Mayor Muriel E. Bowser pledged to eliminate traffic deaths in the city. More than a decade later, they still haven’t gone down.
Assault, Misogyny, Verbal Threats: Records Detail New Allegations Against Rep. Max Miller
The political polarization of health outcomes in the USA
Why Are Waymos Still Blocking Bike Lanes?
The creepiest ‘sales demo’ of all time
The Many Faces of Anne Hathaway
Taylor Farms Met with Trump White House Days Before FDA Backtrack on Cyclosporiasis Findings, Sparking Controversy
US civil rights agency moves to end demographic data collection after 60 years
AI Psychosis
St. Paul Remade Human History. How Did He Do It?
Dealing with dickovers (very useful information about how to use the internet better)
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DoorDash Undermines D.C.’s Home Rule Over a 20 Cent Fee

On Monday, I discussed how House Republicans, led by conspiracist wackadoodle James Comey has proposed legislation to prohibit the mainland colony of the District of Columbia from raising taxes. That legislation also would require Congressional legislation for D.C. to be able to raise property assessments (e.g., raising the estimate of your house is worth). If you thought California’s Proposition 13 was bad, well, this is even worse.

Now it appears DoorDash, which is butthurt over a 20 cent per delivery tax for orders, a fee that pays for improving access for lower-income people to healthy food, is attempting to undermine D.C. residents’ limited self-governance (boldface mine):

DoorDash unsuccessfully fought the fee, delivering a petition with 500 signatures opposing it to lawmakers, running ads on social media, commissioning a poll that in which 63% of respondents said they didn’t support the fee, and parking a mobile digital display outside the Wilson Building.

A spokesperson for the company said the fee was akin to balancing the city’s budget “off the backs of working people in D.C. who can’t afford another tax,” and said that more than 20% of DoorDash deliveries in 2025 went to low-income communities. The company filled some 150,000 orders from residents using SNAP food benefits, the spokesperson said…

Nadeau brushed aside those concerns. “If a person orders once a week it will amount to $10 a year,” she told NOTUS on Tuesday. “We should be real honest about who can afford to order food in the first place. Groceries and access to that I’m sympathetic to. Some of the money is going to subsidize grocery delivery, so I think it offsets that concern.”

…The fee is expected to raise $6.6 million per year. Of that, some $200,000 will go toward extending an existing pilot program through which 1,000 low-income D.C. residents get a free 12-month Instacart membership to help cover grocery delivery costs.

Another $200,000 will be used to make up for lost federal funding that paid for grocery deliveries by Dreaming Out Loud, a nonprofit grocery store and cafe in Ward 8. And $1 million will go to Nourish D.C., a program that gives grants to new food businesses in underserved neighborhoods.

It’s just galling how DoorDash is willing to undermine D.C.’s limited self-governance–and make no mistake, Comer’s legislation will blow a hole in D.C.’s budget. What makes it even more ridiculous is that Comer’s legislation, as written, wouldn’t cover the 20 cent fee.

As I put it Monday:

I realize most people think of D.C. statehood in terms of two additional Democratic senators, but for the residents of the mainland colony, it is about our ability to govern ourselves. If Comey’s shit ass state of Kentucky ever had to put up with the kind of meddling in their state governance that D.C. does, D.C. statehood would be a sacrament.

D.C. statehood now.

Technology, actions, reactions, and a way forward

This is a story about technology, not as a matter itself, contained and explainable with a spreadsheet, but as an action inseparable from a reaction. And oh, that reaction. It’s ancient times, circa mid-1990s, when the internet is something speeding along at 28.8 kilobits per second, on a good day. The normal routine is to … Continue reading Technology, actions, reactions, and a way forward

Launch preview: SpaceX ready for 2nd attempt to launch Starship Flight 13 following post-abort engine work

A fully-integrated Starship-Super Heavy rocket stands at Pad 2 at Starbase prior to the second attempt at launching the Starship Flight 13 mission. SpaceX stacked Ship 40 atop Booster 20 on July 22, 2026. Image: Adam Bernstein/Spaceflight Now

Update July 23, 4:10 p.m. EDT (2010 UTC): SpaceX waived off a launch attempt due to weather; targeting July 24.

SpaceX will take another run at launching its Starship-Super Heavy rocket from southern Texas, but not until after Tropical Storm Bertha finished pushing through Texas.

Like the attempt one week ago, a 90-minute launch window will open at 5:45 p.m. CDT (6:45 p.m. EDT / 2245 UTC) on Friday, July 24. The flight comes after days of work replacing and testing multiple Raptor engines on the Super Heavy booster.

Spaceflight Now will have live coverage beginning about two hours prior to liftoff.

Moments before the post-ignition abort on Thursday, July 16, on-screen telemetry data showed four engines that apparently did not ignite. During the pre-dawn hours of Friday, July 17, Ship 40 (S40) was de-stacked from Booster 20 (B20) and returned to the production site at Starbase.

Later that day, SpaceX also removed B20 and rolled it along the nearly three trek back to the production site as well. Founder Elon Musk said that at least two Raptor engines needed to be removed following the hard engine stop during the launch attempt.

Following a week of work, B20 returned to Pad 2 on Tuesday, July 21. The following day, SpaceX loaded it with both liquid oxygen and liquid methane before draining the vehicle again.

“Additional preflight testing on Super Heavy complete. Now starting preparations to launch Starship as soon as tomorrow, Thursday, July 23,” SpaceX posted on social media following the test’s conclusion. “Weather is currently a significant watch item for launch.”

Ship 40 returned the pad on Wednesday, July 22, and was stacked atop Booster 20 that evening.

One of the main objectives of this 13th test flight is to deploy 20 Starlink V3 satellites from S40. SpaceX has previously deployed Starlink simulators from previous Starships, but this would be the first deployment of production satellites.

“As part of this initial test, Starship is planned to deploy 20 satellites which will extend solar arrays and antennas and will attempt to connect with the larger Starlink constellation via high-capacity lasers,” SpaceX said on its website. “The Starlink satellites will be on the same suborbital trajectory as Starship and are expected to demise upon reentry approximately 20 minutes after deployment.”

SpaceX also plans to perform a Raptor engine relight following the roughly 11-minute satellite deploy sequence. Teams also hope that work done on the sea-level Raptor engines combined with a new startup sequence on the Ship upper stage will allow for a successful boostback burn on Booster 20 and a splashdown in the Gulf of Mexico.

SpaceX hoists Ship 40 to be stacked on top of Booster 20 on July 22, 2026, prior to the second launch attempt of the Starship Flight 13 mission. Image: Adam Bernstein/Spaceflight Now

During Starship Flight 12 back in May, SpaceX said the startup sequence of the engines on Ship 39 “caused the directional flip of the booster to be off by approximately 90 degrees.” That coupled with issues with five out of 33 sea-level engines on the booster prevented a nominal boostback burn and Booster 19 was lost prematurely.

“The Super Heavy on this upcoming flight has hardware modifications to improve re-light reliability along with updates to engine alarms and aborts to match the conditions seen in the multi-engine flight environment,” the company said.

Other engine improvements are designed to prevent an early shutdown seen during Flight 12 that prevented an engine relight demonstration on that mission.

Work on the upper stage’s heat shield to help push it towards future, full reusability will also be on display.

“Multiple tiles will be attached to the metallic side of Starship’s aft flaps along with modified tiles and attachment mechanisms in the heat shield covering the aft skirt to gather flight data on different attachment options,” SpaceX said. “Finally, Starship’s heat shield will have load sensing tiles to take measurements as the vehicle experiences higher dynamic pressure on ascent than previous flights, putting added stress on the tile attachments in exchange for increased payload to orbit capability.”

A nearly identical version of the Starship Version 3 rocket flying today will be used on the Artemis 3 mission, which will include a docking between Starship and NASA’s Orion spacecraft.

A new report published by the Government Accountability Office (GAO) on Thursday looks at a series of NASA’s long-term projects, including those involved with the Artemis Program.

It points to “a series of testing challenges” encountered by SpaceX when it comes to the Human Landing System version of Starship that will be used to return humans to the Moon. NASA wants to perform a lunar landing with astronauts as soon as 2028 with either Starship or Blue Origin’s Blue Moon Mark 2 lander.

An artist’s concept of NASA’s Orion spacecraft docking in low Earth orbit with SpaceX’s Starship Version 3 rocket with a docking adaptor during the Artemis 3 mission. Rendering: SpaceX

The GAO report noted not only is SpaceX “more than a year behind its original schedule for key events,” like the critical design review and an uncrewed landing demonstration, but development of its Raptor engines is described as a “top risk.”

“According to HLS officials, the latest version of the Raptor engine incorporates improvements such as welded fuel joints designed to prevent the fuel leaks that resulted in the loss of the Starship vehicle during flight testing in March 2025,” the report stated. “Flight test 12, conducted in May 2026, was the first flight test of the new version of the engine.”

The GAO report noted that NASA officials pushed back on some assessments and stated that the report’s assessment “does not reflect all ongoing programmatic changes stemming from adjustments made to the Artemis campaign in February and March 2026.”

“Officials did not have any technical corrections on the assessment,” the report said.

End-to-End Encryption and “Going Dark”

New paper: “Encryption and Globalization 15 Years Later: End-to-End Encryption and the Third Round of the ‘Going Dark’ Debate“:

Abstract: This Article updates and expands on 2012 research on encryption and globalization, analyzing what the authors call “Round 3” of the Going Dark Debate: the current controversies over end-to-end encryption (E2EE). Governments around the world have proposed, and in some cases enacted, laws limiting E2EE for law enforcement and national security purposes.

This Article explains the underlying technologies and market developments for a law and policy audience to assess those proposals critically. The Article proceeds in three parts tracking three rounds of the Going Dark Debate. Round 1 covers the Crypto Wars of the 1990s, when U.S. export controls on strong encryption ultimately fell in 1999. Round 2 covers the period roughly 2010 to 2015, when encryption-in-transit became widespread but lawful access remained available through cloud providers, giving rise to what the authors called a “golden age of surveillance” rather than a period of going dark. Round 3 addresses the current debate over E2EE, where no entity between sender and recipient can read the plaintext.

The Article’s first major contribution is identifying five technically distinct scenarios for how E2EE operates in practice, each with different implications for lawful access. These scenarios reveal a substantial gap between the assumption that E2EE categorically blocks lawful access and the reality of how communications are sent and received. Second, the Article shows that E2EE is not limited to messaging; instead, it is embedded throughout the modern technology stack, including in Transport Layer Security, Secure Shell, Virtual Private Networks, and Zero Trust Architecture, the last of which is now legally required under U.S. and EU law. Any law broadly limiting E2EE would thus have severe serious consequences for cybersecurity, commerce, and government operations. The Article concludes that the two key lessons from Round 2—the least trusted country problem and the golden age of surveillance—remain true in Round 3, and that new government claims for restricting effective encryption deserve great skepticism.

Airbus space business takes advantage of growing demand for satellite systems

Aeolus-2

Airbus executives say the turnaround in the company’s space business came just in time to tap growing demand, particularly from Europe, for space capabilities as it pursues a joint venture.

The post Airbus space business takes advantage of growing demand for satellite systems appeared first on SpaceNews.

All the Queens houses

Colourful terraced houses with distinct architectural styles, featuring a car parked in front.

To the trained eye, the personalised homes of Queens, NYC, evoke everything from a Venetian streetscape to a Chinese temple

- by Aeon Video

Watch on Aeon

The savage bites back

Painting of a abstracted figure resting their head on their hand, a sun, and cactus on a blue background.

Rooted in Brazilian modernism, anthropophagy devours and transforms culture, subverting colonial fears of cannibalism

- by Sofia Cándano

Read on Aeon

Olympic Mountain Glory

The Olympic Peninsula, viewed at an angle from above, features snow-capped mountains surrounded by deep, forested river valleys. Islands in Puget Sound and developed areas including Seattle and Tacoma appear across the top of the photo.
May 6, 2016

Alpine glaciers, wild coastlines, temperate rainforests, and deep river valleys coexist on the Olympic Peninsula in the northwest corner of Washington state. Surrounded by blue waters, peaceful islands, and bustling population centers, its rugged interior remains a relatively remote bastion of wilderness.

The Olympic Mountains’ imposing terrain comes into focus in this oblique view of the region, captured by an astronaut aboard the International Space Station. The image is a composite, made of several sequential, overlapping photos fused together into a panorama. Olympic National Park encompasses the peninsula’s mountainous core, along with some stretches of the Pacific coastline. Much of the remaining area is either national forest, state-owned land, or tribal territory.

The rock making up the mountains mostly originated beneath the surface of the ocean. From about 55 to 15 million years ago, layers of basalt from undersea eruptions and sand and mud transported seaward by rivers accumulated on the ocean bottom. This material was scraped off the Juan de Fuca plate as it subducted beneath the North American plate, with rock layers crumpling and rising up to 8,000 feet (2,440 meters) above sea level.

Tectonic forces continue to push the mountains skyward, but the countervailing force of erosion in this rainy, snowy corner of the country effectively cancels out the uplift. Snow at higher elevations feeds glaciers that carve out underlying rock. Glaciers in the Olympics are retreating and thinning, however, and their numbers are declining. One study tallied 255 glaciers and perennial snowfields in the range in 2015 and found that 35 glaciers and 16 perennial snowfields had disappeared in the preceding 35 years.

Other erosion is evidenced by the deep valleys radiating out from the snowy peaks. The Hoh, Queets, and Quinault rivers, draining west into the Pacific Ocean (bottom of the frame), are prominent in this view. These verdant valleys are known for their temperate rainforests, and the ancient forest in the Hoh River valley was once considered among the most naturally quiet places in the U.S., uninterrupted by human-caused noise.

Flowing to the north, the Elwha River has a rich natural and human history, including some of the earliest Euro-American exploration of the Olympics. Sponsored by a Seattle newspaper, an expedition from December 1889 to May 1890 crossed the mountain range from north to south, traveling up the Elwha valley and down the Quinault. The party spent several months in the Elwha Valley, their progress hindered by an unusually harsh and snowy winter. 

In the early 1900s, entrepreneurs saw economic opportunity in the valley. Two dams constructed on the river produced power for local industry. But the structures came with costs, such as blocking the migration of once-abundant trout and salmon to their spawning grounds. In 2011 and 2014, the dams were removed in what was then the largest such project in the U.S., and the process of restoring fish populations, seeding native plant communities, and replenishing sediment along the riverbanks commenced.

The mouth of the Elwha forms a delta in the Strait of Juan de Fuca, the waterway bordering the peninsula to the north. The U.S.-Canada border runs through the middle of this 11- to 17-mile-wide (18- to 27-kilometer-wide) channel, with Vancouver Island in British Columbia lying to the north. The strait connects the Pacific Ocean with the Strait of Georgia and Puget Sound. Ship traffic uses the strait to access important West Coast ports, including Seattle and Tacoma, visible along the top-right edge of the image.

Astronaut photographs ISS047-E-104138 through ISS047-E-104144 were acquired on May 6, 2016, with a Nikon D4 digital camera using a focal length of 400 millimeters. They are provided by the ISS Crew Earth Observations Facility and the Earth Science and Remote Sensing Unit at NASA Johnson Space Center. The images were taken by a member of the Expedition 47 crew. The images have 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.

References & Resources

The Olympic Peninsula, viewed at an angle from above, features snow-capped mountains surrounded by deep, forested river valleys. Islands in Puget Sound and developed areas including Seattle and Tacoma appear across the top of the photo.

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