The News,
Decoded.

The federal government has perfected the art of regulatory paralysis, so it's no surprise the states are charging ahead on healthcare AI. The latest frontier: prior authorization, that delightful process where an algorithm gets to decide if your MRI is 'medically necessary.' Never mind that AI models have been shown to hallucinate conditions at alarming rates—states from California to Florida are now crafting their own sets of rules. Because when you think 'coordinated safety,' you think 50 different definitions of 'adequate human oversight.' Expect a booming cottage industry of compliance consultants who specialize in AI prior authorization law. The rest of us? We get the thrill of wondering whether our insurance denial came from a human or a 400-billion-parameter model with five years of training data.

The article from Modern Healthcare notes that states are surging while Washington dawdles. Surprise: the same Congress that can't regulate social media after a decade is going to lead on AI. So the states, ever the innovative laboratories, are experimenting with everything from mandatory audits to outright bans on AI-based denials. This patchwork will slow adoption, increase costs, and create a Kafkaesque experience for patients who already struggle with our healthcare system. The only winners are lawyers and consultants.

But let's not be too harsh—this is America, after all, where a consumer goods company can face 50 different state privacy laws and call it 'consumer choice.' Healthcare AI regulation is just the next frontier in our grand tradition of federal abdication. The states will bumble along, the hospitals will hire more compliance officers, and the federal government might eventually pass a bill that says 'states may not restrict AI prior authorization in a manner harmful to interstate commerce'—in about 2028. And in 2030, when a patient dies because an algorithm denied care that a different state's algorithm would have approved, we'll have a congressional hearing that accomplishes nothing. Gallows laughs all around.

Ah, consistency in AI regulation: the government's favourite oxymoron. Yesterday, startup Legion was suing the U.S. Today, OpenAI merrily updates GPT-5.5-Cyber with capabilities 'rivaling Anthropic’s Mythos' — and the White House is deafeningly silent. Perhaps the administration was too busy issuing quantum executive orders to notice the double standard. Or maybe Mythos was simply the lucky loser in a game of regulatory roulette. Either way, the message is clear: if you want your model left alone, don't be the one that winds up in a lawsuit.

Let's recall what Mythos triggered: a full-blown export control directive that left Anthropic users suing for access. But GPT-5.5-Cyber, with similar 'mythos-like' capabilities? No restrictions, no statements, just quiet. The administration hasn't explained what distinguishes the cases — unless 'being OpenAI' is the distinction. It's a masterclass in selective enforcement, and the only consistency is the arbitrariness. One lab gets the hammer, the other gets a pat on the back.

This isn't about safety; it's about who has the better lobbyists. The White House's silence speaks volumes: they either don't understand the technology well enough to see the equivalence, or they do and are playing favourites. Either way, the regulatory 'gap' is less a gap than a chasm, and we're all tumbling down it. The prior lawsuit looks increasingly like a canary in a coal mine — except the canary is being sued, and the coal mine is giving the next bird a free pass.

Ah, the American dream: life, liberty, and unfettered access to Anthropic's latest AI model. Startup Legion is suing the U.S. government because an export control directive has forced Anthropic to restrict Claude Fable 5 to American soil. Not charging too much, not biased outputs — but *geographically limited*. Yes, that's the hill to die on. The suit claims Fable 5 is 'critical to Legion's business,' which presumably is either 'prompt engineering' or 'selling AI-generated content' and cannot possibly function using any of the other six trillion models available.

One must admire the audacity. A tiny startup, presumably run by people who think 'export control' is a type of cocktail, argues that restricting frontier AI models nationwide violates some fundamental right to compute. The government, for its part, is probably trying to prevent the model from falling into the hands of, say, a state actor who'd love to automate disinformation. But no, Legion's inconvenience is the true human rights crisis here. The legal argument is almost certainly 'but our business model depends on the most powerful toy!' — a strategy that worked brilliantly for crypto lenders.

Of course, the real farce is that Fable 5 might not even be that good. But we'll never know, because the only way to find out is to sue the feds. Meanwhile, Anthropic gets to shrug and say 'not our fault, blame the government' while their model becomes a status symbol you can't buy. This is regulatory theatre at its finest — a lawsuit that will take years, cost millions, and ultimately prove that the only thing frontier AI reliably generates is litigation funding.

The White House unveiled two executive orders on quantum technology Monday afternoon. Because nothing says 'addressing the pressing dangers of frontier AI' like issuing orders about a technology that might be practically relevant in a decade's time. The administration's timing is impeccable: just as the Five Eyes alliance warns about AI cyber risks, the White House pivots to quantum, which is still mostly academic. One can almost hear the sigh of relief from AI labs as the political spotlight shifts away from their immediate products.

The orders themselves are, predictably, light on detail. 'Quantum technology' is a nice umbrella term that covers everything from quantum computing to quantum sensing, allowing the administration to claim action without committing to anything concrete. It's the perfect move for a government that has mastered the art of appearing proactive while achieving very little. The tech press will write breathless headlines about 'historic quantum initiatives,' and the public will assume something is being done.

Meanwhile, the actual AI safety questions — the alignment problems, the job displacement, the cyber risks that Five Eyes actually named — remain in the hands of voluntary commitments and self-regulation. But hey, quantum! That's the future. We'll definitely have quantum working before we ever get meaningful AI regulation. Cheers to progress.

Congressman Walberg has introduced the AWARE Act, because nothing says 'urgent response to AI-driven job displacement' like requiring the Bureau of Labor Statistics to start collecting data. This follows California's 180-day clock for WARN Act revisions — because what's more reassuring than a half-year study when robots are already rewriting the employment landscape? The bill, as per the press release, would mandate the BLS to 'compile information on the usage of AI in the workforce.' Brilliant. While the private sector is busy deploying models that can replace human workers across multiple sectors, the federal government is just now getting around to asking 'how many?'

One has to admire the timing. The US government has been asleep at the wheel while AI labs release ever-more-capable models, and the Five Eyes have warned about urgent cyber risks. But here comes Walberg with a data-collection bill — because nothing spells 'leadership' like commissioning a spreadsheet after the factory has already burned down. The BLS, currently producing data on employment with a lag of several months, will now have the task of tracking AI adoption. Expect the first report by roughly 2028, just in time for the next generation of AI that needs no human overseers at all.

The deeper irony is that the AWARE Act's very existence acknowledges the problem — AI is displacing workers — yet proposes a solution that is woefully inadequate. Rather than regulating the deployment of AI that causes job loss, we'll measure it. Rather than slowing the race to replace humans, we'll count the casualties. It's like watching a train wreck in slow motion while the government sets up a camera to record it for posterity. But hey, at least future historians will have excellent data on exactly when the jobs vanished.

Governor Newsom's latest performance art is an executive order that "sets a 180-day clock" for recommendations to revise California's WARN Act. Because nothing says "urgent action on AI layoffs" like a half-year study — during which, presumably, employers can carry on laying people off at their leisure. The order also demands a review of severance practices and subsidized employment programs, which is a bit like asking the fox to report back on chicken coop security. The 180-day timeline is a generous grace period for companies to figure out how to avoid the spirit of whatever recommendations eventually emerge.

The California Labor and Workforce Development Agency is now tasked with consulting "employers, labor unions, and other stakeholders" — a classic regulatory recipe for producing a document that pleases no one and does nothing. By the time the recommendations land on Newsom's desk, the AI displacement wave will have already washed through. The order's focus on "subsidized employment programs" feels like offering a life raft to someone who's already been swept overboard. And the review of severance practices? A polite request to consider whether the severance package for a job eliminated by AI should be more than a firm handshake and a "sorry."

Newsom's order is a masterclass in appearing to act without actually acting. It creates a paper trail, generates headlines, and sets a deadline far enough out that the political winds may have shifted by then. The real clock isn't 180 days — it's the one ticking for every worker whose job will vanish before the state gets around to reading the first draft of recommendations. California, home to the very companies driving the displacement, chooses a study over substance. Cheers to progress.

So Uncle Sam is now a shareholder in Intel. The U.S. government has converted a portion of its CHIPS Act subsidies into direct equity, because nothing says 'free market' like the federal government taking a stake in a struggling semiconductor giant. Intel, meanwhile, announced AI partnerships with Google and Tesla's TeraFab unit, because when your chip business is flagging, slapping 'AI' on everything is the time-honoured corporate Hail Mary.

The CHIPS Act was supposed to be about boosting domestic manufacturing without government meddling. Now the government is literally on Intel's cap table, a move that would make Adam Smith weep into his invisible hand. And the AI partnerships? Google and Tesla are essentially throwing Intel a lifeline in exchange for access to their fabrication plants—a reminder that in the AI arms race, everyone is desperate for chips, but nobody actually wants to pay market rates for them. The irony is that the same government that owns a stake will also be purchasing chips for defense and infrastructure, creating a cozy circle of taxpayer-funded revenue.

Of course, federal ownership of a major chipmaker raises all sorts of questions about conflicts of interest, market distortion, and national security. But why worry about that when you can just call it 'AI expansion' and watch the stock bump? The government's new equity stake ensures that when Intel inevitably stumbles, it won't be a simple bankruptcy—it'll be a taxpayer-funded bailout in all but name. And with Google and Tesla on board, at least the decline will be beautifully orchestrated, like a symphony of subsidies and strategic alliances. Cheers to progress, indeed.

Ah, another 'strategic agreement'—because nothing says 'we're building safe AI' like a memory-chip giant writing a cheque to Claude's creators. Micron's investment in Anthropic's Series H means the hardware supplier now owns a piece of the software it runs. Conflict of interest? No, no—this is 'vertical alignment.' The press release calls it 'scaling next-generation AI infrastructure,' which is corporate speak for 'we sold some stock and bought some hype.'

Of course, the supply and demand clause is a gem: Micron commits to chip supply, Anthropic commits to buying them. It's the semiconductor industry's circle of life, with added synergy. And the enterprise adoption of Claude? Micron will now flog an AI assistant that's been banned from certain government work and occasionally hallucinates your quarterly reports. But hey, what's a little hallucination between partners?

And the architecture co-design bit—two companies pretending they'll reinvent memory from scratch, while everyone knows the real bottlenecks are elsewhere. Still, it's a lovely press release. The Series H investment pushes Anthropic's valuation into the stratosphere, because what the world needs is more private capital parked in an unregulated sector. No chance this creates a conflict of interest between hardware sales and model safety. None at all. Cheers to progress.

Ah, Washington's latest answer to the AI disruption: tax credits. Rep. Sam Liccardo's SKILL Act—cutely acronymed as the Supporting Knowledge Through Industry-Led Learning—would hand out tax breaks to companies that deign to fund university programs for AI jobs. Because nothing says 'we'll handle the workforce transition' like a perfectly timed subsidy for the very firms that are busily automating their own employees out of existence.

Industry-led learning! That's the magic phrase. Translation: 'You show us the receipts for your philanthropic gestures, we'll give you money back from the public purse.' The clever people at companies like Google and Amazon, already pocketing billions, can now add a nice little tax credit for sponsoring a certificate program between mass layoffs. One imagines the CFOs sharpening their pencils: 'If we fund a chatbot ethics module, we can claim credit for preparing the workforce—while we replace the workforce with chatbots. Margins!'

Of course, this assumes the training programs will actually produce humans qualified for the AI jobs of 2030, rather than the AI jobs of 2019. The SKILL Act slots neatly alongside every other corporate retraining scheme that's delivered precisely nothing measurable. But hey, the tax credits flow now, the skills might come later. Or not. Either way, the government gets to say it did something. Bottoms up, readers—the future is brought to you by the letter 'tax break' and the number 'pocketed.'

Ah, the US administration has finally discovered national security — just in time to block foreign nationals from touching Anthropic's shiny new models. Because nothing says 'we've got this under control' like an unprecedented intervention that transforms the AI narrative from a jolly race of 'who's best?' to a grim game of 'who's allowed to play?' Investors, who were happily betting on which lab would win the popularity contest, now have to factor in the delightful unpredictability of geopolitical whims. Good luck pricing that risk, chaps.

The ban is, of course, framed as a security measure — because the spectre of foreign adversaries getting their mitts on Anthropic's most advanced capabilities is definitely the thing keeping us all up at night, never mind the open-source models already circulating like bootleg DVDs. The administration is essentially saying, 'We trust you, Anthropic, but we don't trust anyone else with you.' It's a masterclass in sending mixed signals. The subtext? The US would rather hobble its own champions than risk them being useful to anyone outside the club.

So investors are now supposed to reassess what 'political risk' means in a world where the goalposts move with every administration, every security scare, every lunchtime policy memo. The article cheerily notes this is 'transforming the narrative' — which is bureaucrat-speak for 'we just made your valuation models obsolete.' If you were betting on Anthropic as a pure-play AI leader, congratulations: you now have a stake in a company that's as much a pawn in geopolitics as it is a technology firm. Raise a glass to the new normal — provided you're a citizen, of course.

So Beijing is calling executives in for a chat again, and the markets are supposed to breathe a sigh of relief because this time it's different — apparently the CCP has discovered the magic word: 'AI'. Trip.com and Meituan bosses are being summoned, but analysts insist it's not a 2021-style crackdown, because now the Party wants private tech to pour money into AI infrastructure. Because nothing says 'trust us, we won't nationalise you' like a sudden interest in your CapEx plans.

It's a beautiful piece of doublespeak: the same government that spent 2021 dismantling Ant Group and banning gaming for kids is now suddenly tech's biggest cheerleader — but only because they need your chips and data centres to build a surveillance state that runs on transformer models. The 'anti-involution' and 'deflation' talking points just add a dash of economic desperation to the mix. So sure, executives might keep their freedom this time, as long as they write big enough cheques.

The real joke? The smart money knows that Chinese AI infrastructure is a state-directed project disguised as a market opportunity. You'll be summoned, you'll invest, and eventually the state will decide it knows best how to run your business. But hey, the S&P didn't tank, so everything's fine. Have another cup of tea, Mr. Liang.

Six months after Trump wagged a finger at the states and told them to keep their regulatory mitts off AI, lawmakers across the country are doing exactly what he asked them not to. The federal government is still playing the world's longest game of legislative footsie, so states like California, Colorado, and New York are crafting their own 'targeted rules' — because nothing says 'responsible AI governance' like a patchwork of conflicting state laws that will have compliance officers weeping into their oat milk lattes. Congress, meanwhile, is busy holding hearings and writing sternly worded letters that accomplish precisely nothing.

The irony is almost too rich to digest: the same administration that preaches states' rights on everything from abortion to environmental standards suddenly discovered the virtues of federal supremacy when it comes to AI. Trump's warning — effectively a 'don't you dare' memo — has been about as effective as a paper umbrella in a hurricane. States are forging ahead with rules on algorithmic bias, transparency, and consumer protection, because waiting for Washington to act is like waiting for a glacier to finish a marathon.

This is exactly the kind of regulatory chaos that the AI industry says it fears — though, secretly, many labs probably prefer a weak federal law preempting stronger state action. But for now, they get the worst of both worlds: no national framework and a growing thicket of state-level requirements. The only clear winner here is the legal industry, which is already drafting the antitrust and preemption challenges that will keep billable hours flowing for a decade. Splendid.

Prime Minister Modi jets off to France for a chat with industry leaders about manufacturing, AI, and sustainability—because nothing says 'strategic partnership' like a carefully staged photo op and some vague hand-waving about 'synergies.' Mistral AI's CEO, Arthur Mensch, was there, graciously offering to 'expand support for Indian languages and AI research.' That's right, the same Mistral that has yet to demonstrate a model that can reliably handle Tamil without hallucinating a recipe for biryani when asked for directions. But hey, who needs functional multilingualism when you have a memorandum of understanding and a firm handshake?

This meeting is a masterclass in diplomatic theatre: three buzzwords (manufacturing, AI, sustainability) thrown together like a fruitcake nobody will actually eat. The French want to sell AI infrastructure; India wants to claim global relevance. Meanwhile, Indian language speakers—hundreds of millions of them—get another promise that 'support is coming.' Spoiler: it's been 'coming' since the last AI summit, and the one before that. The Mistral CEO's interest is no doubt genuine, but translating that interest into actual model performance is a different beast, especially when your training data is scraped mostly from English-language Reddit.

What's truly dark here is the unspoken subtext: India has its own AI players—BharatGPT, Krutrim—but they're not invited to the table; it's foreign models that get the diplomatic nod. The real story isn't the meeting; it's the slow realization that AI sovereignty is being traded for photo ops. When the next election rolls around, the PM will point to this meeting as evidence of global leadership. The only problem? The Indian languages that Mistral promised to support still can't file a tax return without mangling the grammar.

Ah, the AI industry has hit a new bottleneck, and this one isn't just a matter of better algorithms or more GPUs — it's about something far more primitive: electricity. According to Yahoo Finance's "Chart of the Day", US data center electricity demand could more than double by 2030. Because nothing says 'futuristic technology' like needing enough power to run a small country just to serve up a few chatbot responses and generate yet another image of a cat in space. The analysis suggests battery storage as a critical component — because of course the solution to insatiable energy consumption is more batteries, which themselves require energy to produce and dispose of. What could possibly go wrong with that plan?

The sheer scale of this is almost comical when you think about it. We've spent years worrying about alignment, regulation, and job displacement, while quietly ignoring that each new model requires the equivalent of a power plant's output. And now, instead of actually addressing the root problem — say, by making models more efficient — we're looking at battery storage as the saviour. This is the kind of thinking that kicks the can down the road while simultaneously mining lithium in the process. The optimism that battery tech will scale fast enough to meet AI's voracious appetite is the sort of blind faith that usually precedes a spectacular crash.

Meanwhile, regulators are still busy debating whether AI is dangerous while the grid quietly groans under the strain. The AI industry is essentially building a house of cards powered by fossil fuels and wishful thinking. If the power doesn't come through — and with a doubling of demand, it's far from guaranteed — the whole AI boom might just fizzle out, leaving behind a lot of expensive hardware, a very hot planet, and a few thousand data center workers wondering what happened. It's almost poetic: the great AI revolution, tripped up by a lack of electrons.

Ah, the state is finally bringing AI into the benefits office — because nothing says 'compassionate social safety net' like a chatbot trained on a dataset of denied claims and glitchy code. Some states are now deploying AI chatbots to handle eligibility for Medicaid, SNAP, and unemployment benefits. Because humans were *too* efficient at rejecting people, presumably. And of course, past algorithmic systems have been lovingly described as 'haphazard and harmful' — which is bureaucrat-speak for 'they screwed up and nobody cared.'

Let's be clear: this isn't about improving outcomes. This is about cost-cutting dressed up in innovation jargon. And when the inevitable chaos hits — eligibility errors, wrongful denials, the usual algorithmic delights — there will be exactly zero accountability because, hey, the computer made the call, not some underpaid civil servant.

So welcome to the future of welfare: a chatbot that doesn't know the difference between 'I lost my job' and 'I'm applying for a cat.' The previous human-run system was slow and imperfect; the new AI-run system will be fast, scalable, and spectacularly wrong. And the best part? No one will be surprised. We've been here before — remember when healthcare algorithms went rogue? Right. Same song, new software.

Ah, yet another piece of AI-pilled speculative fiction has gone viral, and this time it's 'Europe 2031' — a cheery little number from AI researchers and policy experts warning that Europe will become a tech colony if it doesn't get its AI act together. Because nothing says 'credible policy intervention' like a dystopian short story written by the very people who'd benefit from the panic. The piece is being shared like a hot take at a Davos dinner party, with the implicit subtext that we should all be very frightened and also please fund more AI research.

The sheer chutzpah is magnificent. These are the same folks who couldn't forecast a GPU shortage if it hit them in the datacenter, yet they're now moonlighting as Cassandra of the mainland. The story's popularity reveals a grim truth: we've become so accustomed to treating AI as a metaphysical threat that actual policy debates get outsourced to speculative fiction. Why bother with boring old regulatory impact assessments when you can just write a scary story about Beijing controlling Germany's chatbots?

And let's not pretend this is harmless fun. 'Europe 2031' is now being cited in policy memos, because apparently that's how we do governance now — through viral short stories with citation counts. The only thing missing is a subtitle reading: 'This but unironically in 5 years.' One day we'll look back and laugh. Or cry. Probably both. But at least the authors got their viral moment.

Ah, J.D. Vance has unveiled his AI doctrine, and it's exactly what you'd expect from a man who probably thinks 'The Sword of Lafayette' is a cocktail. The Vice President's framework promises to balance 'government guardrails' with 'industry freedom'—which, in political translation, means tech giants get to do whatever they want until a crisis hits, at which point the government will convene a commission to 'look into it.' The sword of Lafayette metaphor is hilariously apt: a gleaming, noble-sounding promise of protection that's actually outdated, ceremonial, and unlikely to be drawn in anger.

This is the same Vance who once railed against Big Tech monopolies before conveniently softening his tone after the 2024 election. Now he's offering a 'third way' that somehow pleases both the Heritage Foundation and the Silicon Valley donor class. The doctrine apparently emphasizes American leadership and 'freedom-enhancing' AI—because what's more freedom-enhancing than letting a handful of unaccountable corporations build god-like intelligence while the government gives them a friendly pat on the back? The sword of Lafayette, indeed: a gift that helped America win a war, but in this case, the war is against pesky regulation.

At least the marketing is good. 'Guardrails' suggest safety, 'freedom' suggests innovation—together they form the perfect political oxymoron. But watch closely: the actual guardrails won't be deployed until after the next AI incident, which will be blamed on 'rogue actors' who didn't follow the voluntary guidelines. For now, the sword stays sheathed, and the tech sector breathes a sigh of relief. Another day, another doctrine that sounds grand and does nothing. Pass the popcorn.

The AI CEOs who were treated like heads of state at the G7 are now discovering that ballots bite harder than bull markets. Anthropic, the darling of the safety-conscious set, has seen its IPO hopes become a hostage to electoral fortune. The Wall Street Journal reports that the company's blockbuster listing depends on the ballot box as much as on investors. How delicious: a firm built on the premise of aligning AI with human values must now align itself with the whims of voters who can't agree on what they want for breakfast, let alone frontier model regulation.

The market's AI fanfare is crashing into a harsh political reality. The same executives who were feted as statesmen are now lobbying like every other special interest, watching their valuations swing with poll numbers. The Journal notes that political headwinds are gusting, and not in the helpful 'fill your sails' direction. Perhaps those G7 seats came with a hidden cost: the illusion that tech bros could skip the messy business of democracy. Turns out, when your IPO depends on regulatory outcomes, you're just another lobbyist in a nicer hoodie.

And what of the promised land of recursive self-improvement? It's been delayed by a committee hearing. The irony is exquisite: the industry that promised to transcend human limitations is now brought low by the most human activity of all — politics. Anthropic's IPO might still happen, but only if the ballots fall the right way. So much for the post-political future. The only certainty is that the champagne will stay on ice until the polls close.

The Israeli Medical Association has bravely declared that doctors should not become 'enslaved' by artificial intelligence. A position paper has been published, setting boundaries for AI use in medicine. Because nothing says 'we have control' like a piece of paper politely asking the unstoppable AI wave to please stop at the red rope. The phrasing itself is telling: 'enslaved' is a strong word for a profession that has spent decades outsourcing decision-making to flowcharts and lab results.

The association's aim, per the excerpt, is to 'use the technology without becoming enslaved by it.' One imagines the paper includes detailed clauses: 'The algorithm shall not prescribe narcotics without a human cosign,' 'The AI shall not override a doctor's gut feeling about a patient with atypical symptoms,' 'The robot shall not roll its eyes when the doctor ignores its recommendation.' But the fundamental problem is that AI in medicine doesn't respect position papers; it respects training data, compute budgets, and accuracy benchmarks. As we've seen in radiology and pathology, the machine doesn't need to enslave anyone—it just needs to be slightly more consistent and faster to make the human role shrink from diagnostician to something closer to a liability waiver signer.

Meanwhile, the IMA's paper will sit alongside other proud declarations of human technological supremacy, much like Macron's plea to the US to share AI while democracies regulate. It's a noble sentiment: draw boundaries, retain control, stay the master. But in the real world, hospitals in Israel and elsewhere are already deploying AI triage systems that reduce emergency room wait times, and patients are already being diagnosed by algorithms that don't tire or second-guess. The boundaries are drawn in sand, and the tide is AI. Doctors may not be enslaved, but they are certainly being nudged into irrelevance. Time for a strong cup of tea and a long look at that position paper.

Emmanuel Macron has issued a heartfelt plea to the United States: please share your cutting-edge artificial intelligence with your democratic allies, and let's all cooperate on meaningful regulation. It's a noble aspiration, one that echoes the surreal tableaux from the G7 summit we recently covered, where AI chief executives were seated as heads of state while actual elected leaders looked on. Asking nicely—the time-honoured strategy for getting tech monopolists to voluntarily give up their advantages—has worked so well in the past, hasn't it? This time, surely, will be different.

Macron specifically urged "wealthy democracies" to work together on regulation, presumably because the current patchwork of toothless guidelines, voluntary commitments, and after-the-fact wrist-slaps has been so effective. The United States has been hoarding cutting-edge AI models like a dragon guarding a golden hoard, and Macron thinks a polite diplomatic note will pry open the vault. He's asking for cooperation in a domain where the global gold rush is already well underway, and the most aggressive players—both corporate and state-backed—have absolutely no interest in waiting for a consensus to form. The irony is almost too rich to digest.

So here we stand: a French president making a perfectly reasonable request to a US administration that can't even agree on what "cutting-edge" means internally, let alone how to share it with allies. Democracies are supposed to cooperate, but the labs building the most capable systems operate in a regulatory vacuum of their own making. The plea is noble; the outcome will almost certainly be more of the same—fine words, no binding action, and a world where AI power concentrates further into fewer hands. Pass the popcorn. Maybe a cheap French wine to go with it.