The News,
Decoded.

So the FTC has decided that if a company tweaks its AI chatbot to stop being racist in certain states, that's actually fraud. The proposed policy statement, dropped on Wednesday with all the subtlety of a brick through a window, warns that 'distorting AI outputs' to comply with state bias laws will bring the federal hammer down. Because nothing says consumer protection like forcing companies to choose between state law and federal enforcement. The AI industry's compliance officers are presumably updating their CVs as we speak, while the state legislators who passed these laws are quietly backing away from the table.

The FTC's logic is a beautiful piece of regulatory origami: state legislatures pass laws demanding AI not discriminate, companies adjust their models to comply, and now they're told that very adjustment is deceptive. Of course, the fact that the unadjusted model might have been spouting racial stereotypes was apparently fine—the FTC didn't mention that bit in their proposed statement. They call this adjustment 'steering' and suggest it misleads consumers into thinking outputs are 'genuine.' Because what consumers absolutely want is the unvarnished, unfiltered, potentially biased AI output. That's the genuine article we're all seeking.

And who pays the price? Not the legislators who passed contradictory laws, not the FTC enforcement division, but the poor engineers who now have to figure out how to be simultaneously biased and unbiased, compliant and non-deceptive, all while the regulators watch from the sidelines with a smug 'we told you so.' The public comment period will likely be filled with exquisitely polite letters from law firms explaining why this is insane. We'll file that under 'shocked pikachu face' when the FTC finalizes it anyway. The fun part will be watching which state law gets violated first in the name of federal compliance.

Ah, voluntary standards — the regulatory equivalent of a gentleman's agreement in a pub car park. The US government is in 'advanced talks' with AI companies, with an announcement 'as soon as next week,' the FT reports. Because nothing says 'existential risk management' like a set of unenforceable benchmarks that the labs themselves helped draft. I'm sure the timelines and access rules will be *very* clarifying, right up until someone decides their competitive edge is worth fudging a few metrics.

This is the same government that has spent years holding congressional hearings where senators ask if AI can make memes, and now expects voluntary standards to keep the frontier from turning into a liability grenade. The article doesn't even mention enforcement—because there isn't any. These are 'standards' in the sense that the pirate code was a 'code': more of a suggestion, really, with the added bonus that the people agreeing to them are the same ones racing to deploy before anyone can call a timeout.

The Financial Times, bless them, has written this up as statesmanlike progress. One suspects that the AI companies are thrilled: they get a 'regulatory framework' that doesn't regulate, a 'commitment to safety' that doesn't bind, and a nice headline for next week that delays any actual legislation for another cycle. The grown-ups are in charge, clearly. And if the grown-ups have voluntarily decided not to have any teeth, that's their prerogative, isn't it?

Oh, brilliant — the AI industry’s safety cooperation is now a potential antitrust violation. Because nothing says 'responsible development' like being legally punished for trying to prevent your creation from going rogue. The article notes that coordination on model evaluations and testing protocols 'can affect how companies compete' — yes, that’s rather the point when you’re trying to ensure nobody blows up the planet. But apparently, the US antitrust enforcers see this as a cozy cartel of safety. So the choice is clear: either compete recklessly and face safety blowback, or cooperate on safety and face legal blowback. What a wonderfully Kafkaesque bind for the labs. Meanwhile, the article has the gall to describe this cooperation as 'potentially procompetitive' — which in antitrust jargon means 'we might let you off the hook if you promise to be a little less safe.'

Let me guess: the next step is a consent decree mandating each company develop its own, unique, non-coordinated way to test for catastrophic risks — because nothing stifles innovation like having to invent your own fire extinguisher without consulting your neighbours. The Federal Trade Commission must be thrilled: they finally have a chance to break up a monopoly on safety standards. And of course, the real risk here isn't that AI kills us all, but that companies might share too many notes on how to stop it.

So here’s to the future: antitrust suits against safety consortia, while the models themselves get more capable by the month. If this regulatory logic holds, we’ll soon see a class-action against OpenAI and Anthropic for 'colluding to make their models less likely to escape human control.' The irony is so thick you could train a neural network on it.

Ah, a tidy little number: 28,000 jobs per month evaporating from tech and finance. The Insurance Journal reports payrolls in financial-activities and information sectors slid by that monthly average in 2026, with AI adoption as the designated hitman. California, ever the pioneer, has a tracker showing finance and insurance leading the unemployment claims parade among AI-exposed workers.

But wait, there's more! The same article doesn't specify whether these are new roles or old ones being 'optimised,' but let's be real: when was the last time a bank hired a human to do something an algorithm could do cheaper? The California tracker is a lovely touch — a state-level registry of who's getting canned. The gallows humour writes itself: we're building the tools to track our own obsolescence.

And what's the response? A Gartner warning about 'hidden costs'? A UN 'AI for Good' commission? Meanwhile, 28,000 people a month get to test-drive the gig economy. The message is clear: your job isn't being eliminated; it's being 'transformed' — into a memory. But hey, at least the AI is getting smarter. Bottoms up.

In Colorado's 8th Congressional District, the so-called 'AI Primary' — a term that sounds like a sci-fi B-movie plot — has descended upon a Latino swing district with all the subtlety of a campaign donation. Tech donors, that well-dressed cavalry of enlightened self-interest, threw their weight behind Manny Rutinel, the prime sponsor of the state's 2024 Consumer Protections for Artificial Intelligence law. Yes, the very law that was supposed to protect Coloradans from algorithmic exploitation. Instead, it seems to have attracted the very entities it sought to constrain, like flies to a well-funded honeypot.

The general election is now a top toss-up race, which in political parlance means 'nobody has a clue what voters actually think about AI regulation.' Rutinel's law, presumably designed to shield consumers from opaque algorithms, apparently carved out no exception for campaign finance algorithms that funnel money straight to his campaign. The irony is so thick you could train a language model on it. In the AI primary, the candidates are just vessels for competing corporate strategies — and the voters are the data points.

But what else would you expect from a race where AI regulation was a 'subterranean force'? The phrase itself is wonderfully revealing: this wasn't a debate about ethics or consumer safety, but a subterranean battle of checkbooks. The toss-up ensures that the outcome remains deliciously uncertain, which is exactly how the industry likes it. No matter who wins, the next Congress will have a member who understands that writing AI regulation is a terrific way to get tech donors to notice you. Democracy: where every primary is a pilot episode for a lobbying series.

Ah, the United Nations, fresh from its preliminary warning that AI could cause catastrophic harm, now blesses us with an 'AI for Good' commission. Because nothing says urgency like a naming committee with the creativity of a greeting card aisle. The first meeting is July 8 in Geneva, where top tech execs and heads of state will sit in a room and forge global AI rules. Or at least, that's the press release version.

The commission is explicitly a response to splintered regulation. Splintered, as in, there are currently about 47 different regulatory frameworks globally, none of which agree on what an AI even is. So the solution is to gather the people who have the most to lose from regulation (tech CEOs) and the people who have the most to gain from appearing to do something (politicians) and ask them very nicely to agree. This is the diplomatic equivalent of asking a pack of wolves to design the sheep's security system, chaired by a particularly optimistic sheepdog.

And yet, the commission might actually produce something. A non-binding statement, perhaps. A 'framework' that every country will interpret however it pleases. The real tragedy isn't that this won't work; it's that this is the best idea anyone has had. The UN's own panel warned that AI could cause catastrophic harm, and the response is a committee meeting in Geneva in July. If this were a film, it would be a dark comedy. But it's real life, and the credits aren't rolling.

The United Nations has blessed us with a preliminary report warning that AI could "cause catastrophic harm" – because nothing says 'credible deterrent' like a document that is, by its own admission, unfinished. The report, covered by The Jerusalem Post, notes that AI capabilities are outpacing both scientific understanding and government policy, which is about as useful as a weather report that says 'it might rain eventually.' The key word here is 'preliminary' – the UN's get-out-of-accountability-free card, ensuring that any actual action can be deferred to a future, final version that may or may not ever materialise.

The report also warns of the risk of "losing control over increasingly autonomous AI systems" – a fear that safety researchers have been raising for a decade, but which apparently only becomes official when a UN committee types it up and releases it to a world that has already moved on. One suspects the AI labs will treat this with the same gravitas they treat a Terms of Service update: a quick glance before clicking 'I agree' and continuing with business as usual. The report outlines safety concerns but does not specify what those concerns look like in practice – no concrete thresholds, no binding recommendations, just a gentle suggestion that maybe we should think about it.

And where does this report land? On the desks of policymakers who are already several steps behind the technology, in a news cycle that will forget it by the next model release. The UN has effectively said, 'We've noticed the problem; please hold while we form a working group to form a subcommittee to draft a further preliminary report.' Meanwhile, AI companies continue their relentless scaling, comforted by the fact that the worst they face is a strongly worded PDF. It's the international community's favourite move: identify an existential threat, produce a document, file it away, and hope that the robots are as slow as the bureaucracy.

The House has done it again — passed the KIDS Act package with a straight face, as if 'protecting children' from AI chatbots will somehow keep pace with the tech that's already in every teenager's pocket. The bipartisan bill includes COPPA 2.0 provisions expanding privacy obligations and addressing AI chatbot safety. Because nothing says 'we understand the problem' like updating a law named after a 1990s children's TV show to regulate a technology that moves faster than Congress appropriations.

But oh, the elegance of it! The KIDS Act — an acronym so desperate for meaning it practically begs you not to ask what it stands for — will now lumber over to the Senate for a nice long nap. Senators will hold hearings, call expert witnesses who will warn that the timeline for real harm is measured in months, and then maybe, just maybe, pass a version that's already obsolete by the time it lands on the President's desk. The AI chatbot safety provisions? Lovely, so long as you ignore that the chatbots in question have already been training on children's data for years.

This is the regulatory gap score we've come to know and love: a legislative lag that's less a gap and more a canyon. While Congress pats itself on the back for a 'bipartisan achievement,' the AI industry rolls out new capabilities that skirt these very protections. The KIDS Act is a beautiful gesture — like putting a plaster on a bullet wound and calling it trauma care. The only question is whether the Senate debates it fast enough to matter, or slow enough to be irrelevant. Place your bets.

Ah, California has struck a deal with Anthropic to get Claude at half price for state agencies. Because nothing says 'responsible governance' like bulk-buying AI tools the way you'd buy office supplies from a warehouse club. The Statewide Information Technology Shared Services portal now offers a bot that can write your DMV form while dreaming of data centers—half off, no less. But the real bargain is the regulatory void: there's no mention of safety audits, bias testing, or what happens when Claude refuses to process a welfare application because it conflicts with its 'values.'

This follows Anthropic's recent release of Claude Sonnet 5 at a steep discount as we noted last week, and you can practically hear the IPO clock ticking. The state is getting a deal on a model that was already positioned as 'near-flagship'—which in Silicon Valley means 'good enough for government work.' But what's the real cost? When a chatbot hallucinates a regulation that shuts down a small business, who pays? The discount, apparently.

And with Poppy expansion close behind—whatever Poppy is—the race is on to embed AI into every government workflow before anyone asks if it's a good idea. California, home of the world's fifth-largest economy, is now also the world's largest beta tester for a system that might eventually decide your parking tickets. Cheers to progress, or whatever we're calling this.

Well, that didn't take long. Because nothing says 'careful deliberation on national security' like caving after 'weeks of drama'—a phrase that suggests the whole thing was a soap opera rather than a serious policy disagreement.

Anthropic, the company that built its brand on 'safety-first' AI, is now getting its frontier model released to the world without those pesky export controls. The irony is delicious: the lab that warned about catastrophic risks is now the beneficiary of deregulation. Meanwhile, the 'drama'—which involved intelligence agencies, industry lobbyists, and free-speech absolutists—has been resolved by simply letting the model out. Who needs rigorous export regimes when you can just declare victory and move on?

So the global AI race gets another shot of adrenaline, this time courtesy of a White House that seems to treat export controls like a fad diet—tried briefly, abandoned when inconvenient. The rest of the world can now access Fable 5, which is presumably very capable of passing safety benchmarks (that it helped design). But hey, at least the drama is over. Time to find a new crisis to manufacture.

Ah, the great AI-layoff panic meets a data-shaped spanner. New numbers from Business Insider show that the companies splashing cash on AI are larger, VC-backed, and growing fast. So the narrative that AI is stealing jobs gets a bit more complicated — which is wonderful news for anyone who enjoys watching advocates on both sides tie themselves in knots. Meanwhile, California's shiny new public dashboard we noted last week dutifully tracks each monthly layoff announcement, probably with a drop-down menu that reads 'cause: AI / not AI / who knows'.

Expect the usual theatre: AI optimists will declare the data proves nothing to worry about, while safety advocates will warn that job displacement is merely delayed. Both are probably right, which is the real problem. The data doesn't actually say who is getting laid off — just that the companies buying AI are not the ones shrinking. That's like saying the house isn't on fire because the guy with the matches is having a great time in the garden.

And let's not forget that 'larger, VC-backed, faster-growing' is Silicon Valley shorthand for 'can afford to hire a PR team to spin the numbers'. The wrench thrown into the debate is about as useful as a chocolate teapot — it confirms nothing except that the data is messy, the debate is ideological, and the dashboard will keep updating until nobody remembers why we built it. Cheers.

Amazon MGM Studios, the streaming arm of the company that powers half the internet and wants an AI in every home, has dropped the film 'Artificial' because it dared to be critical of AI. The irony is so thick you could build a chatbot out of it. Here we have a corporation whose entire AI strategy relies on the public swallowing the line that this technology is an unalloyed good, and when a movie suggests otherwise, it's off the schedule faster than you can say 'safety researcher concerns.' This is not a business decision; it's a muzzle.

The film, now rescued by indie distributor Neon, will get a proper release—but the damage is done. The chilling signal has been sent: if you want to make art that questions the tech religion of our age, don't expect a platform from the very companies building it. We already have the AI free speech debate over export controls, and now we see private sector censorship in action. What's next? Will Amazon pull books critical of AI from its bookstore? Will it throttle search results for negative articles? The pattern is clear.

And what of Neon, the white knight in this story? They're to be applauded for picking up a film that the biggest of big tech dropped. But let's not pretend this is a happy ending—it's a glimpse of a future where only small, independent distributors will touch anything that paints AI in an unflattering light. The mainstream platforms will remain a safe space for tech boosterism. 'Artificial' might find its audience, but the fact that it had to be rescued should terrify anyone who believes in honest public discourse about the most consequential technology of our time.

Ah, the First Amendment rides to the rescue of... export controls on AI models. Because nothing says 'free speech' like arguing that a neural network trained on billions of data points is entitled to the same constitutional protections as a protestor on a soapbox. The Politico report reveals that 'some free speech champions'—presumably the sort who think corporate personhood should extend to algorithms—now want to treat AI models as expressive tools, conveniently ignoring that the 'expression' in question is capable of generating disinformation, deepfakes, and automated propaganda at unprecedented scale.

The argument that Trump's export controls amount to 'unconstitutional prior restraint' is a legal novelty that would make even the most creative constitutional scholar blush. Prior restraint, that hallowed doctrine from Near v. Minnesota, typically applies to the government stopping a newspaper from publishing; here, it's being weaponized to shield the sale of AI technology to foreign adversaries. One almost admires the audacity—turning a national security measure into a free speech case is the kind of creative lawyering that keeps the Supreme Court entertained and the rest of us wondering if the law has any grounding in reality at all.

But the real kicker is the timing. While legislatures worldwide scramble to regulate AI—the EU's AI Act, California's job-loss tracker we covered, even bipartisan support for tighter rules—the US finds itself debating whether restricting the export of a potentially dangerous technology violates the First Amendment. It's the regulatory equivalent of arguing about the fire alarm's free speech rights while the building burns. One can only hope the ensuing case law produces something more coherent than this administration's usual approach to digital rights.

Ah, California has launched the nation's first public dashboard to track AI-related job losses. Because nothing says 'decisive action' like a glorified spreadsheet that updates monthly. The governor's office is presumably hoping that by measuring the bleeding precisely enough, the state can claim it's doing something — while avoiding any of that pesky regulation that might actually slow down the very tech companies whose lobbyists fund the election campaigns.

One can already picture the inaugural press conference: 'We are committed to transparency,' they will say, standing beneath a giant screen showing a live feed of job losses climbing like a fever chart. Transparency, yes — but without the inconvenience of actually doing anything about it. After all, why impose a moratorium on automating customer service when you can simply count how many people are losing their jobs each month? The tracker is a masterpiece of performative governance: measure the wound, describe it in exquisite detail, but for heaven's sake don't apply a tourniquet.

The beauty of it is the plausible deniability. When the inevitable mass displacement arrives, the state can point to the tracker and say, 'We saw this coming — look, we logged it in June 2026!' while offering nothing but a link to a PDF. It's the California way: infinite data, zero backbone. Still, one must admire the chutzpah. While the UK dithers and the EU drafts yet another 400-page regulation, California has chosen the most American solution possible — turning a crisis into a dashboard.

Oh, wonderful. As if the AI industry wasn't already a case study in regulatory paralysis, now some bright spark has decided the solution is—wait for it—taxation. Yes, the same folks who can't agree on whether to ban deepfakes or mandate kill switches are now reaching for the fiscal toolbox. The govtech.com article reports that 'some progressives' are floating a tax on AI tokens, because nothing says 'harnessing the future' like slapping a usage levy on every prompt your chatbot generates.

But wait, there's more. They're also proposing an excise tax on data center energy usage. Because the data centers—already straining power grids and guzzling water like hungover frat boys at a keg stand—clearly need an extra financial burden. This isn't regulation; it's a surcharge on progress. It's the political equivalent of a parking ticket for a runaway train. One can almost hear the venture capitalists weeping into their oat-milk lattes as they calculate the per-token overhead.

But let's be honest: this is all theatre. Taxing tokens won't slow AI development; it'll just push it offshore or into the black market of serverless inference. And an energy tax? That'll incentivise data centres to relocate to jurisdictions with cheaper coal. Because the environment loves that. So congratulations to the progressives: you've managed to propose a policy that simultaneously stifles innovation, encourages tax evasion, and accelerates climate change. Truly, a hat-trick of unintended consequences. Pass the aspirin.

Oh, marvellous. One might think such overwhelming bipartisan agreement would translate into immediate legislative action. One would be adorably naive.

So the public is not just vaguely worried — they are handing policymakers a detailed, signed, and stamped wishlist. And yet, Congress continues to treat AI regulation like a particularly demanding houseplant: they admire it, talk about it, but never actually water it. The gap between what voters want and what legislators deliver is now measurable, and frankly, embarrassing.

It's almost touching to see the AI Policy Institute try to nudge the Overton window with data. 'Look,' they seem to say, 'your constituents are terrified and they agree. Do something.' But we all know how this goes: the poll will be cited in a hearing, praised by both sides, and then quietly buried under a mountain of tech lobbyist submissions. Bless their hearts.

Senator Mark Warner has introduced a draft bill to create a federally vetted list of 'secure and trustworthy AI agents,' because nothing says 'trust us, we're from the government' quite like a bureaucratic stamp of approval. The FTC, that beacon of agile regulation, will develop security and identity standards—presumably between reviewing Facebook's latest privacy scandal and approving yet another data broker merger. The list, once compiled, will presumably assure us that the AI agents handling our banking, healthcare, and democracy are definitely, positively, not going to go rogue.

The oversight committee will be staffed by the same folks who thought the Nissan Z was a good idea. And if history is any guide, the first version of the list will be about as comprehensive as a TSA no-fly list from 2002—missing key names, full of false positives, and entirely reactive.

The real kicker? The bill's existence signals that Washington has finally noticed AI agents exist, but their response is to create a yelp-for-government-contractors list rather than, say, mandate liability or testing. Wonderful. Now the AI agents can get a 'DHS Approved' sticker to wear alongside their 'I passed the bar exam' badge. At least the procurement consultancy firms will have something to bill for. Pass the popcorn—this slow-motion train wreck is going to be a masterclass in regulatory theatre.

OpenAI has released a report mapping 'AI job transition archetypes' for the European labor market, which is rather like the arsonist handing out fire extinguisher manuals. The company that's been cheerfully automating white-collar work now wants to chart a 'workforce opportunity' – a phrase so slick it could lubricate a gearbox. One imagines the archetypes: 'Data Entry Displacer', 'Customer Service Relocator', and the ever-popular 'Prompt Engineer Aspirant'.

The timing is impeccable, as the EU fumbles with the AI Act's implementation like a bureaucrat trying to open a Tupperware container. OpenAI's report promises to 'guide' workers, but the only guidance that matters is finding a job that won't be replaced by the next GPT iteration. The report apparently doesn't address the obvious: that the same company creating these archetypes is also building the models that obliterate them.

So here we are: a map to a territory that's being redrawn every quarter. The European workforce can look forward to a future where their opportunities are defined by a Silicon Valley lab that treats 'mapping' as a branding exercise. Splendid.

Palantir and Nvidia — the corporate equivalent of a Venn diagram where both circles are 'government contracts' — have announced a new AI initiative for secure government deployment. Shares rose about 4%, because nothing signals robust security like a stock price that's suddenly rosier. The two companies will help agencies deploy AI in 'secure environments,' which presumably means environments where the oversight is as minimal as the public's visibility. The press release was no doubt packed with phrases like 'cutting-edge' and 'democratic values,' carefully avoiding the obvious question: secure for whom?

What exactly qualifies as 'secure' here? Secure from foreign adversaries, or secure from democratic accountability? Palantir's track record — immigration enforcement, predictive policing, data brokerage — suggests the former interpretation is generous. Nvidia, for its part, is happy to supply the compute while maintaining plausible deniability. The market loves this: a 4% pop on a deal that basically formalises what was already happening in dark corners of the federal budget. No agency has announced a corresponding governance framework to match the hardware, because that would require transparency, and transparency is the opposite of 'secure.'

So the cycle continues: a press conference, a stock bump, and another shovel of gravel on the regulatory grave. The agencies get their AI, Palantir and Nvidia get their revenue, and the rest of us get to hope that 'secure environments' includes robust oversight — which it won't, because that's not how the game is played. Cheers to progress, I suppose. At least the stock is up, for now.

The pro-AI movement is splintering faster than a dry twig in a drought, and Axios has the scoop. The coalition that once marched in lockstep—open release, minimal regulation, America first—is now at each other's throats over the obvious question: should national security worries slam the brakes on model releases, or should we floor it to stay ahead of the Chinese? This is the same movement that spent years mocking anyone who suggested AI could be dangerous, and now they're having a very public hissy fit about it. One faction, suddenly concerned about catastrophic risks, wants to slow down; the other, terrified of Beijing, wants to speed up. It's a perfect mess.

The irony is exquisite. The same people who called AI safety advocates 'hysterical' are now using national security as their own cudgel to delay releases. Meanwhile, the accelerationists—the ones who insisted that any slowdown is treason—are being told by their former allies that maybe letting a system that can design bioweapons loose on the internet is a bad idea. This is what happens when a movement built on hype collides with reality: everyone discovers they were actually arguing for different things. The boosters wanted profit; the accelerators wanted power; and now they can't agree on which matters more.

And what comes of this glorious schism? Probably the worst of both worlds: half-hearted restrictions that anger the labs, and just enough speed that safety still takes a backseat. The US will tie itself in knots trying to balance competitiveness and security, while China builds without the same democratic headaches. The pro-AI movement is splintering not because of high-minded principle, but because the cheap unity of the early years was always a mirage. Now we get to watch the future being decided by people who can't even agree on what the problem is.