
Overall, airlines are a lossmaking business. Yet there’s plenty of money to be made. Why doesn’t the industry work? CC-licensed photo by Can Pac Swire on Flickr.
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A selection of 9 links for you. Primed for takeoff. I’m @charlesarthur on Twitter. On Threads: charles_arthur. On Mastodon: https://newsie.social/@charlesarthur. On Bluesky: @charlesarthur.bsky.social. Observations and links welcome.
Americans oppose AI data centres in their area • Gallup
Jeffrey Jones:
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Seven in 10 Americans oppose constructing data centres for artificial intelligence in their local area, including nearly half, 48%, who are strongly opposed. Barely a quarter favour these projects, with 7% strongly in favour.
These results, from a March 2-18 Gallup survey, represent the first time Gallup has asked about data centre construction, a topic that has met fierce opposition from local residents in many parts of the country. These data centres house computing equipment that helps power AI technology used by businesses, universities and other institutions. The centres cover large areas of land, require extensive amounts of electricity to operate and need substantial water to cool the equipment, raising concerns about their impact on the environment and local electric bills.
The data centre question parallels the wording Gallup uses to ask about local nuclear power plant construction. In the same March survey, 53% of Americans say they oppose building a nuclear energy plant in their area, far less than the 71% opposed to data centre construction. Since Gallup first asked the nuclear power plant question in 2001, the high point in opposition has been 63%.
The March survey asked people to rate their level of concern about the environmental impact of AI data centres: 46% say they worry a great deal and 24% a fair amount, largely mirroring the degrees of opposition to data centre construction.
…Americans who favour the building of a data centre in their area mostly cite the potential economic benefits. Opponents of data centres have more varied reasons for their position, but they focus mostly on environmental concerns.
Half of opponents mention data centres’ excessive use of resources, including 18% each mentioning their use of water and energy; 16% mention a related environmental concern of pollution, including noise pollution and air and water pollution.
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Opposition is higher than it ever was for a nuclear power plant. That’s quite an achievement for something which has absolutely minimal risk and should be income- and job-generating for an area: the tech bros have utterly pissed in the pool. Yet concern about future job losses or Terminators is minimal – single-digit percents.
Even so, these concerns won’t go away by saying “don’t worry”. The tech bro industry has a problem.
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Iran demands Big Tech pay fees for undersea internet cables in Strait of Hormuz – Ars Technica
Jeremy Hsu:
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Iran claims it will charge US tech companies fees for using undersea Internet cables that run beneath the contested Strait of Hormuz shipping lanes. The war has already halted multiple projects and led to the suspension of cable repairs in the region—and the latest Iranian threats may accelerate efforts by Big Tech and Gulf countries to find alternative routes for bypassing the Strait of Hormuz’s digital chokepoint.
The latest assertions of Iranian authority over the Strait of Hormuz were announced in a brief statement by Ebrahim Zolfaghari, a spokesperson for Iran’s military and the Islamic Revolutionary Guard Corps. “We will impose fees on internet cables”, Zolfaghari wrote in a May 9 post. It was not immediately clear how Iran might implement such fees or impose its rules on cable projects, given that the majority of routes pass through Oman-controlled waters.
But Tasnim and Fars, both Iranian state-linked media channels, laid out more detailed proposals on how Iran could charge license fees to US tech giants for the use and maintenance of undersea cables carrying regional Internet traffic, according to The Guardian. For example, the Tasnim plan described charging tech companies—specifically naming Meta, Google, Amazon, and Microsoft—license fees for cable usage while also claiming that Iran alone has the right to repair and maintain the subsea cables.
More than 99% of international Internet traffic runs through the global network of undersea cables that crisscross various oceans, connecting continents and islands. The major active cables running through the Strait of Hormuz primarily serve the Gulf countries in the region. They include the Asia Africa Europe-1, FALCON, and the Gulf Bridge International Cable System, according to TeleGeography, a telecommunications research organization.
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The Iran “war” – really, an unprovoked attack by the US and Israel on the country in the hope of decapitating the regime, an aim that utterly failed – will be seen in the future as having finally shifted the balance of power away from the US. Suddenly, everyone’s the Mafia, pointing out that you’ve got a nice undersea cable there, be a shame if anything happened to it.
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The strange reason nearly all humans are right-handed • The Brighter Side of News
Hannah Shavit-Weiner:
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Roughly nine out of 10 people favor their right hand, a pattern so common it can feel almost invisible. Yet in evolutionary terms, it is deeply strange. No other primate species comes close to showing such a strong, consistent population-wide bias.
A new analysis suggests that this familiar human trait may have grown out of two of the biggest changes in our evolutionary history: standing upright and growing a larger brain.
Researchers led by the University of Oxford examined handedness across 41 species of monkeys and apes. They drew on data from 2,025 individuals. Their results, published in PLOS Biology, suggest humans no longer look like an outlier once two factors are taken into account. These two factors are brain size and the relative length of the arms compared with the legs, a standard marker tied to bipedalism.
That matters because human handedness has long resisted easy explanation.
Scientists have spent years tracing its roots in genes, brain specialization and development. Hand preference seems to begin early, possibly even before birth, and it becomes more established over time. But none of that has fully answered the bigger question of why humans, unlike other primates, ended up so overwhelmingly right-handed in the first place.
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The PLOS paper basically boils down to “we dunno, maybe it’s this, because primates with smaller brains that aren’t upright don’t do this”. There doesn’t seem to be any clear gradient in handedness as one moves through the primates. Handedness remains a mystery: it seems to be a combination of genetics, biology and environment. Which genes, which biology, what environment? We don’t know.
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Sam Altman backs “micropayment” model for AI agents to compensate publishers • Nieman Journalism Lab
Andrew Deck:
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Late last month, Sam Altman sat down with Nicholas Thompson, the CEO of The Atlantic, for a podcast episode of Re:think, the publication’s marketing and branded content studio. One clip has been making the rounds on social media the past couple days. In a rare moment, Altman was asked point blank by a media executive what he thinks the future of publishing will look like on the web. His answer, in short: micropayments. To be clear, payments made by AI agents, not readers directly (Elon Musk and others have proposed that idea before, and there are a lot of reasons it hasn’t taken off).
In a caveat at the top of the conversation, Thompson said he would leave many of the most “controversial issues” that he wanted to ask Altman about to “journalists at The Atlantic.” But for one brief moment, Thompson did ask the OpenAI co-founder how he thought media companies can survive the decline of traditional search, and the rise of AI agents, who may browse the web on a human’s behalf.
…The micropayments model is not merely a hypothetical, but one already being explored by a host of Silicon Valley startups and more established Internet infrastructure companies. Tollbit collects “digital tolls” for AI bots, monetizing every access and scrape. Prorata.ai compensates publishers proportionally for how much their IP shows up in AI answers. And last summer, Cloudflare launched its pay-per-crawl marketplace to facilitate these transactions for the roughly 20% of all websites that use its services.
Altman’s answer is an indication that OpenAI may be moving toward these emerging business models for news publishers.
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I still do not think that micropayments for publishing will ever work. The reason is simple: you’d get a race to the bottom (my site is cheaper! My site is even cheaper! Wait, my site is free, with ads!) and the malware which would extract money or sign people (or agents) up to subscriptions on the sly would explode. It’s yet another of those things that I believe Won’t Happen Despite Being Extremely Desirable, and it goes into the drawer alongside nuclear fusion and quantum computing. (OK, the desirability of quantum computing isn’t that obvious.)
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ArXiv to ban researchers for a year if they submit AI slop • 404 Media
Samantha Cole:
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ArXiv, the open-access repository of preprint academic research, will ban authors of papers for a year if they submit obviously AI-generated work.
Late Thursday evening, Thomas Dietterich, chair of the computer science section of ArXiv, wrote on X: “If generative AI tools generate inappropriate language, plagiarized content, biased content, errors, mistakes, incorrect references, or misleading content, and that output is included in scientific works, it is the responsibility of the author(s). We have recently clarified our penalties for this. If a submission contains incontrovertible evidence that the authors did not check the results of LLM generation, this means we can’t trust anything in the paper.”
Examples of incontrovertible evidence, he wrote, include “hallucinated references, meta-comments from the LLM (‘here is a 200 word summary; would you like me to make any changes?’; ‘the data in this table is illustrative, fill it in with the real numbers from your experiments’.”
“The penalty is a 1-year ban from arXiv followed by the requirement that subsequent arXiv submissions must first be accepted at a reputable peer-reviewed venue,” Dietterich wrote.
Dietterich told me in an email on Friday morning that this is a one-strike rule—meaning authors caught just once including AI slop in submissions will be banned—but that decisions will be open to appeal.
…AI-generated, fabricated citations are a huge problem in research. A recent study by Columbia University researchers examined 2.5 million biomedical papers across three years, and found that one in 277 papers published in the first seven weeks of 2026 contained fabricated references; In 2023, it was one in 2,828, and in 2025, one in 458.
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This is going to be fun to watch. Will there be time to go back over submitted research to see whether those contain AI slop too?
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The three cylinder problem: when AI models choose beauty over truth • Rabdology
Robert Ghrist et al:
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Here is a problem that a good geometry student can solve in twenty minutes. We gave it to four of the world’s most advanced AI models and watched what happened. Three of them got it wrong — and the way they got it wrong tells you something different about the state of AI mathematical reasoning than the usual benchmarks.
Consider a cube of side length 2, aligned with the coordinate axes. Place three cylinders inside it, each of height 2 and radius R, each aligned with some coordinate axis. The cylinders may not intersect. What is the maximal R?
The problem is clean; the setup is elementary. You could explain it to anyone who has taken geometry.
If you assign one cylinder to each axis — one along x, one along y, one along z — you get a beautiful configuration. The three cylinders nestle into the cube like the bones of a Steinmetz solid, each touching the other two tangentially, each grazing the cube’s faces. The maximal radius under this arrangement is R = 1/2. The geometry is tight, symmetric, and satisfying. Every constraint binds simultaneously. It is the kind of answer that makes you think you are done.
You are not.
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This was tested against AI models in January and February; they didn’t get the optimal solution. By May, they did. The blog is the work of Rabdos, which seems to be founded by high-level mathematicians.
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‘The Future of Truth’ contains quotes made up by AI • The New York Times
Benjamin Mullin:
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The author of a nonfiction book about the effects of artificial intelligence on truth acknowledged on Monday that he had included numerous made-up or misattributed quotes concocted by AI.
The author, Steven Rosenbaum, whose book “The Future of Truth” was released this month to great fanfare, incorporated more than a half-dozen misattributed or fake quotes in sections of the book reviewed by The New York Times.
The Times asked Mr. Rosenbaum about the quotes on Sunday and Monday. On Monday night, Mr. Rosenbaum acknowledged in a statement that the book had “a handful of improperly attributed or synthetic quotes” and said that he had started his own investigation.
He said that the inclusion of the incorrect quotes was an accident and that he had “no intention of fabricating any viewpoints” while writing the book.
“As I disclosed in the book’s acknowledgments, I used AI tools ChatGPT and Claude during the research, writing and editing process,” Mr. Rosenbaum said in the statement. “That does not excuse these errors, of which I take full responsibility. I am now working with the editors to thoroughly review and quickly correct any affected passages; any future editions will be corrected.”
“The Future of Truth” was published by an imprint of BenBella Books and distributed by Simon and Schuster. BenBella Books, which operates independently of Simon and Schuster, did not respond to a request for comment. Simon and Schuster declined to comment.
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We’re in the early stages of this sort of thing, so of course you’re going to get the egregious egg-on-face examples. But really, you’d think that–oh, never mind. Of course he didn’t. And here’s where it got really bad: one of the made-up quotes was attributed to Kara Swisher, the doyenne Silicon Valley journalist. That’s a mistake on a par with calling a Great White shark vegetarian to its face.
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Why airlines are always going bankrupt – David Oks
David Oks:
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…explanations that cite shocks or bad management [for airlines’ inability to make money, collectively, in the long term] either explain too much or too little. If it’s just vulnerability to shocks, why don’t other industries have such huge bankruptcy waves? And if it’s bad management, why has no airline in the long history of aviation figured out a replicable solution to running the business profitably?
I’d like to suggest that the problem with the airline industry is much deeper than people seem to think. Losing money in the aggregate is a feature, not a bug, of a competitive airline industry. The airline sector, for reasons that go into the essential nature of the industry, cannot reach a profitable competitive equilibrium. This is not because airlines are vulnerable to shocks or because they’re poorly managed. The airline industry itself can either be profitable, or it can be competitive: but it can’t really be both.
To understand why, we have to learn a little bit about game theory.
…One of the central ideas in the study of cooperative games is the idea of the core. The “core” of a game is simply the set of outcomes that no coalition of players can improve upon by breaking away and dealing among themselves. If an outcome is “in the core,” it’s stable, such that nobody can propose a side deal that makes every member of some subgroup better off; if the core is “empty,” then every arrangement is vulnerable to being undercut by some side-coalition, and the market has no resting point, no stable equilibrium. It cycles, destabilizes, and, without outside intervention of some kind, eventually breaks down.
Airlines are the classic example of an “empty core” industry: an industry that is structurally incapable of reaching competitive equilibrium. But why is it that airlines have an empty core, while other industries—ones that also have plenty of competition, but converge on healthy margins and stable prices—don’t?
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The answer is subtle, but seems to boil down to: the industry can’t support an integer number of airlines. X is too few; X+1 is too many. Whatever X happens to be. (Via John Naughton.)
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Google’s Android-powered laptops are called Googlebooks, and they’re coming this year • Ars Technica
Ryan Whitwam:
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Google says it designed Googlebooks from the ground up with Gemini Intelligence, and it all starts with the cursor. Google calls this the Magic Pointer. Just wiggle the cursor back and forth, and it will activate a full-screen Gemini experience. The AI will see what’s on your screen so it can make contextual suggestions and pull in data from multiple apps.
What can you do with that? Well, it’s all a bit vague. Google’s demos show how Magic Pointer can be used to select multiple images and instantly combine them with Nano Banana. Google also says you can use the cursor in AI mode to do things like suggest a calendar appointment simply by pointing it at the date in an email. Magic Cue, which has been available on Pixel phones since last year, will also be part of Googlebooks. This feature can recommend actions and surface information based on context like messages and emails.
There’s definitely a problem with discoverability in AI features, but it’s uncertain how many useful things generative AI can do with screen context. The best Microsoft could manage was Recall, and we all know how that went. So far, Google’s Magic Cue on phones hasn’t been a game changer—in fact, it rarely shows up at all. Can a laptop do any better?
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Open question. Also, who’s using laptops these days, and to do what? Also: do schools, which have been a major buyer of Chromebooks, really want this stuff built in to distract pupils?
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| • Why do social networks drive us a little mad? • Why does angry content seem to dominate what we see? • How much of a role do algorithms play in affecting what we see and do online? • What can we do about it? • Did Facebook have any inkling of what was coming in Myanmar in 2016? Read Social Warming, my latest book, and find answers – and more. |
Errata, corrigenda and ai no corrida: none notified








