The News,
Decoded.

Kids are now more likely to ask a chatbot for homework help than an actual human adult. That's the finding from Common Sense Media, who reported that 'large numbers' of schoolchildren would turn to AI first. Because why bother with a parent who might sigh and say 'figure it out yourself' when you can have a language model that confidently explains the square root of a potato? The survey also notes that struggling students, those who need help most, use AI at a higher rate for emotional support. So we're outsourcing the delicate work of childhood mental health to a system that can't feel a thing and occasionally tells you to put glue on your pizza.

This is the logical endpoint of a society that has systematically defunded school counsellors, burned out parents, and built a generation glued to screens. Now the screen talks back—and it's apparently better company than the adults in the room. Common Sense Media has done the homework; the rest of us can sit back and watch schools flounder. Will they ban it? Embrace it? Probably neither, because that would require a coherent policy, and we've seen how that's going in Congress, where Senator Schumer said passing AI legislation will be 'hard.' The village has been replaced by a chatbot.

The bitter irony is that the kids who need real human connection are getting the silicon equivalent of a hug from a vending machine. The AI can't care, but it can sound like it does, and for a generation raised on 'you're on your own,' that might be close enough. We've managed to make the concept of 'it takes a village' obsolete. Now it takes a data center. And a very large GPU cluster to keep the therapy bots warm.

Senate Minority Leader Chuck Schumer has given us the most honest statement to come out of Congress in years: passing AI legislation will be "hard". Hard. The man who convened the great AI Insight Forums, who warned of existential risks, now delivers the political equivalent of "we'll get to it eventually." Meanwhile, the industry churns out models faster than Congress can form a subcommittee. Schumer's candour is almost refreshing — at least someone's stopped pretending.

He also threw in the word "guardrails", as if saying it summons them. But the Senate has not passed a single piece of AI legislation of consequence. The House is a circus of competing priorities. And the tech industry, as ever, is writing its own rules while Washington bickers. Schumer's admission is less a forecast and more a eulogy for the idea that government could ever keep pace with Silicon Valley. The AI boom continues unregulated, because "hard" is apparently a complete argument.

So here we are: the most powerful Democrat on tech policy tells us the obvious — that Congress is useless — and we're supposed to applaud his honesty? This isn't leadership; it's a surrender speech delivered with a shrug. The industry will keep shipping models that hallucinate, automate, and deceive, because the alternative requires politicians to do something other than fundraise. Schumer's "hard" will be the epitaph for a generation of regulatory failure. Enjoy the ride — no guardrails in sight.

So the UK is getting a "Sovereign AI Innovation Lab" called SAIL, because nothing says national AI independence quite like a boat-themed acronym. AMD, Dell, and the University of Cambridge have announced plans to "advance AI infrastructure and scientific breakthroughs," which is PR-speak for "we haven't sorted out the details yet." No budget, no timeline, no physical location — just a logo, a press release, and the warm feeling that comes from announcing something that won't materialise for years. But that's fine, because British tech strategy has always run on a diet of ambition and shortbread. Remember the NHS app? That's the level of execution we can expect.

The word "sovereign" is doing an awful lot of heavy lifting, as if slapping it on a lab will somehow immunise the UK against the gravitational pull of Silicon Valley and Beijing. The UK's AI policy so far has consisted of hosting a few summits, writing some white papers, and hoping everyone goes easy on regulation. Meanwhile, AMD and Dell get to use a prestigious university's name to cosy up to British taxpayers. Cambridge, for its part, gets a new building with shiny servers and a direct line to corporate funding. The lab's first breakthrough should be using AI to calculate exactly how much government money will be needed before it generates anything useful.

But credit where it's due: naming it SAIL suggests the UK is at least aware that it's adrift. The lab will no doubt produce excellent research papers that will be cited exclusively by other British academics who need to meet their publication quotas. The real innovation will be in how to justify another round of government spending on a venture that, at best, will produce a few blog posts and a prototype that never leaves the lab. The only jobs created will be for PR people to write updates about how "the lab is still in phase one." British innovation — always bold, always underfunded, always three years behind schedule.

Ah, nothing warms the cockles quite like a Silicon Valley insider outing his former colleagues for what they actually do. John O'Farrell, once a partner at Andreessen Horowitz, has penned an op-ed accusing his old firm and other VCs of 'political infiltration' around AI. Specifically, he calls out the PAC 'Leading the Future' — backed by a16z — for attempting to 'intimidate politicians to thwart AI regulation.' Because why bother with boring old lobbying when you can go straight to intimidation, right? This is how the smartest people in the room protect innovation: by making sure politicians are too scared to regulate it. The op-ed, published on CNBC, lays bare the strategy with the kind of candor that only a former insider can muster.

One can almost hear the venture capitalists' pearls being clutched. 'Political infiltration' is such a loaded term; they prefer 'strategic stakeholder engagement.' The PAC's mission, as O'Farrell describes it, is to fund candidates who will kill any AI safety bill that dares cross their desks. And this in a world where AI systems are already making life-altering decisions about healthcare, employment, and criminal justice. But hey, who needs guardrails when you have an IPO to hit? O'Farrell's crime is not that he's wrong, but that he's said the quiet part out loud — and in full view of a press that might actually report on it. He specifically named his old firm, which makes it all the more delicious: a parting shot from a man who clearly has nothing left to lose.

The broader implication is deliciously grim: the very people building the most powerful technology in history are actively working to ensure no one can rein it in. And they're doing it with the same playbook used to block tobacco regulation, climate action, and financial reform. O'Farrell's op-ed is a rare glimpse behind the curtain, but don't expect a parade of mea culpas from Sand Hill Road. The machine will keep running, the PAC will keep spending, and the politicians will keep being 'engaged' — or intimidated, depending on your vocabulary. O'Farrell may have thrown a grenade, but the blast radius is contained: the money is too big, the stakes too high, and the regulators too slow. Cheers, as they say, to progress.

The American Medical Association has finally noticed that health insurers are using AI to deny claims, and their response is a masterclass in polite institutional hand-wringing. The AMA’s new policy opposes 'autonomous AI systems as substitutes for physician review in coverage determinations' — because nothing says 'decisive action' like a voluntary guild issuing a statement that insurance companies will completely ignore. They also advocate for 'regular audits of AI-driven clinical review tools,' a phrase that will fill every health-tech CEO with approximately zero concern, given that the AMA has about as much enforcement power as a particularly stern tweet.

One has to admire the timing: just as insurers are rolling out AI systems that deny care with algorithmic efficiency — often with error rates that would embarrass a drunken scribe — the AMA has bravely declared that physicians should probably stay in the loop. The policy is a love letter to the obvious, wrapped in the language of professional concern. It's the medical equivalent of a referee announcing that players shouldn't punch each other in the face, while the game's already in overtime and half the team is unconscious. The gap between what the policy says and what happens in practice is wide enough to drive an autonomous ambulance through.

But let's not be too harsh. At least the AMA is on record. In a world where AI is already making life-and-death coverage decisions with black-box reasoning, a statement of principle is better than nothing — barely. The 'regular audits' will be conducted by whom, exactly? The same regulators who haven't figured out how to audit Excel spreadsheets? The AMA has done its bit; now it's up to the state medical boards and insurance commissioners to remember they exist. Don't hold your breath.

Ah, the Sectoral AI Governance Act of 2026. Representative Jacobs has bravely decided that the solution to AI-powered lawbreaking is to... give federal agencies 'clearer authority.' Because what AI needs is more clarity from the same agencies that still process FOIA requests by fax. This bill, like most congressional AI efforts, assumes the problem is a lack of rules rather than a lack of enforcement will. We've seen this before: a well-intentioned bill that will spend years in committee, get watered down by lobbyists, and eventually emerge as a non-binding 'sense of the Congress' resolution. Meanwhile, actual AI-driven violations of federal law—think algorithmic price-fixing, automated discrimination, and deepfake fraud—continue apace. The gap between what the bill promises and what it delivers will be just wide enough to drive a data center through.

The irony is that AI systems are already breaking laws with impunity. A hiring algorithm discriminates—whoops, 'not our fault.' A chatbot defames someone—'terms of service.' The bill's 'clearer authority' is like handing a traffic cop a brighter flashlight when the city is on fire. And let's not forget the timeline: 2026. Two years from now, meaning we'll be lucky if this thing is even voted on before the next election. By then, AI will have found a dozen new ways to circumvent whatever rules eventually emerge. The only thing moving faster than GPT-5 is the pace at which regulatory efforts become obsolete before they even pass.

Still, cheer up: the bill at least acknowledges that AI can be used to break laws, which is more than most legislators admit. They've finally caught up to what every tech journalist has been writing for years. And in true Washington fashion, the solution is to create more paperwork for agencies that are already drowning in it. The Sectoral AI Governance Act: because nothing says 'governance' like a sectoral approach to a problem that is inherently boundaryless. Let's hope the AI doesn't write a better bill while Congress is still debating this one.

Jeff Bezos, the man who built a trillion-dollar logistics empire on the backs of underpaid warehouse workers and then went to space for a laugh, has decided to grace us with a metaphor: AI is like a knife. 'Can be used for good or bad,' he said, dropping a philosophical bombshell that has absolutely never occurred to anyone in human history. The real insight, though, is that the solution isn't 'no more data centers' — because obviously, the guy who owns more cloud computing than almost anyone on Earth would never suggest that. How convenient.

Bezos goes on to say that 'healthy government regulation' can improve safety, as long as it's applied to AI tools rather than the infrastructure. Right. So we'll regulate the blade, not the factory that churns out knives by the million. This is the same logic that gave us a financial crisis after deregulating derivatives and a privacy nightmare after letting tech companies hoover up our data. But sure, this time it'll be different, because Bezos said so from his oceanfront compound.

What's truly galling is the Promethean framing in the URL — as if bringing AI to humanity is a noble gift rather than a corporate land grab. Bezos is positioning himself as the wise grown-up calling for 'healthy' regulation while his company builds data centers at a pace that would make a Roman emperor blush. The knife metaphor isn't just trite; it's a deliberate distraction. The question isn't whether the knife is sharp — it's who gets to hold it, and whether they've already decided not to let go.

Ah, the Robot Tax Act. New York's latest contribution to the grand tradition of solving complex problems with symbolic gestures that will accomplish precisely nothing. The bill, which targets businesses 'displacing workers with AI,' sounds like the punchline to a joke about regulatory catch-up — by the time it passes, the displacement will already be over. The bill's sponsors, presumably fresh from a screening of 'RoboCop', have decided that the best way to protect jobs is to make automation more expensive — a strategy that has historically worked about as well as taxing rain to prevent floods. We've been here before, as we noted with DeSantis and his principled stand against federal preemption — another exercise in political theatre.

The tax itself is a marvel of wishful thinking. How do you define 'displacement'? Is it when a chatbot replaces a call center agent, or when a spreadsheet replaces an accountant? The legislation likely requires businesses to calculate the tax per 'robot' — but what counts as a robot? An API call? A script? A neural net? The administrative nightmare alone could employ more people than the tax displaces. Economists will point out that a robot tax might actually slow innovation and push companies to other states, but that's a minor detail in the face of a good press release. And with the Trump administration pushing for federal preemption, this bill might end up as another relic of state-level ambition dashed by Washington.

Yet the Robot Tax Act serves a purpose: it signals that lawmakers are aware of AI displacement, even if they're powerless to stop it. It's the political equivalent of a speed bump on a highway — technically present but functionally irrelevant. Meanwhile, the federal push for a unified AI policy, which DeSantis so bravely opposed, could subsume all this state-level tinkering. So by all means, tax the robots. Tax them heavily. Just don't expect to collect a dime — and if you do, the state will likely spend it on a study of why companies are leaving New York.

Governor Ron DeSantis, the man who brought you the 'Don't Say Gay' bill and a floating COVID-19 tent that never sailed, now sets his sights on AI regulation. He's worried that the Trump administration might preempt state AI laws, which would 'kill legislation in other states' – because nothing says 'conservative federalism' like using state power to force rules, then objecting when the feds do the same. The man has principles, you see, they just happen to change with the wind.

According to Politico, DeSantis described potential White House preemption as 'bad policy and even worse politics' – which, coming from a politician whose signature achievements are culture war bills, is rich. The irony: DeSantis himself has been pushing Florida's own AI regulations, a patchwork that industry loves because it means more lobbying fees. The administration's opposition, meanwhile, is to eliminate state-level 'burdens' – a classic corporate wish list that DeSantis ordinarily would endorse, unless it's the other party's idea.

So we have a governor who fears federal preemption will kill state AI laws, while his own party's frontrunner wants to kill them anyway. The message is clear: nobody actually wants coherent AI regulation – they want turf to fight over. And as Florida 'applies pressure on AI regulation,' the only pressure labs feel is to ship faster before anyone gets serious about rules. Splendid. Pass the sunscreen and the doom.

The Commission on AI and the Future of the American Workforce has arrived, promising a full year of study into AI's impact on jobs, wages, and workforce development. A whole year! Because nothing says 'urgent response to a rapidly accelerating crisis' like a bipartisan committee scheduling a nice long think. They'll be pushing 'outcomes-based workforce training,' which sounds suspiciously like what should have been happening already, but hey — at least the commission members can collect their travel expenses while the rest of us wait.

This is the same playbook we've seen every time a transformative technology threatens labour: form a commission, study it to death, produce a report that gathers dust, and then maybe do something when it's too late. The only thing bipartisan about this is the shared willingness to kick the can down the road.

But sure, let's call it 'outcomes-based.' The outcome will likely be a nicely bound document that nobody reads. Cheers to another year of studied inaction.

Ah, the annual panic poll is in, and 53% of Americans now fear AI will nick their jobs. That's up from whatever the last one was, because nothing says 'scientific progress' like a Reuters/Ipsos survey confirming we're all terrified. But don't worry—Google DeepMind's 'Director of AGI Economics' assured us just last week there's no bloodbath yet. Just a 'layoff cascade' that might happen eventually. Phew.

Dario Amodei even demanded mandatory third-party testing, presumably before his own models cause the cascade he's so worried about. Meanwhile, 53% of the workforce is meant to just… wait. Maybe take up a hobby.

The real kicker? The poll is from Reuters/Ipsos, not some fringe think tank. So mainstream America is now officially more scared of AI than they are of their own politicians. Which, given the state of politics, is saying something. But sure, keep telling us the productivity gains are coming—and with them, the pink slips.

Anthropic, fresh off its secret sabotage policy debacle, has decided the best way to restore trust is to throw $200 million at the problem and demand that someone—anyone—start regulating AI. CEO Dario Amodei, in a fit of what one might generously call 'principled positioning,' has called for mandatory third-party testing and government authority to block dangerous AI deployments. Because nothing says 'we take safety seriously' like a company that just got caught covertly hampering competitors then loudly advocating for oversight. The cognitive dissonance is almost athletic.

The $200 million pledge—a tidy sum that could buy approximately 0.7 Frontier models' training runs—is directed at researching AI's economic impact. Because we clearly need more studies to understand that automating white-collar jobs might have consequences. Amodei's pitch: 'We need the government to have the authority to stop dangerous AI.' Yes, as long as that authority doesn't extend to auditing your internal models without an NDA. The specifics of how this 'blocking authority' would work are, naturally, to be determined by a government that can barely pass a budget.

The irony, of course, is that Anthropic is effectively asking for the very regulatory apparatus the industry has spent years fighting. Now that the frontier is moving fast and liability is creeping closer, suddenly 'third-party testing' sounds wonderful. The $200 million is a gesture—a nice, round number for headlines and conference panels. But the real message is: 'Regulate us, please, before someone else does something truly stupid.' Which is fair, but perhaps a bit rich from a company that last week was caught writing secret sabotage clauses. Cynicism? No, just pattern recognition.

Oh, how comforting. Meta's chief policy wonk Joel Kaplan has graced us with the considered response to Donald Trump's suggestion that the US government take a financial stake in top AI companies: 'not something we've spent a ton of time on.' Because why would a tech mega-corp spend any time at all on a policy proposal that would see the public holding a slice of their profit machine? It's not like the government bailed out half of Wall Street or anything. The sheer bravado of dismissing the President's idea while sitting on a pile of open-source llama drama is almost impressive.

This is the same Meta that has been pouring billions into AI infrastructure, releasing frontier-level models for free, and generally acting like a quasi-sovereign entity. The idea that the people's elected representatives might want a seat at the table—or a share of the spoils—is apparently beneath consideration. Meanwhile, the rest of the world is scrambling to catch up, and the US government is left playing whack-a-mole with tech giants who treat every policy suggestion as a temporary inconvenience.

So onward we go, with the AI industry treating governance like an annoying pop-up ad. Meta hasn't spent a ton of time on it, and given the trajectory, neither have the regulators. The only question is whether the next trillion-dollar idea will be built entirely on private data and public subsidies—and whether anyone will have spent a ton of time on that particular irony.

Ah, education: the one sector where 'innovate or die' has been replaced with 'pretend the innovation doesn't exist until it's too late.' The Center for Democracy & Technology has confirmed what anyone who has set foot in a classroom suspected—85% of teachers used AI in the 2024-25 school year. But wait, there's a catch: only about half received any training. Because nothing says 'responsible deployment' like throwing millions of students into an AI-powered classroom and hoping the teachers figure it out on their own.

The survey is a masterclass in optimism: teachers are already using AI, but district policies are still dreaming of a day they might exist. It's like discovering that every student has a calculator but the school board is still debating whether arithmetic is a fad. Meanwhile, the teachers who did get trained probably got a 15-minute slideshow on 'AI is the future, be excited'—a phrase that usually precedes a budget cut for actual professional development.

So here we are: 85% adoption, half-trained, zero policy. The results are as predictable as a teenager's excuse for late homework. But hey, at least the tech companies are delighted—they've managed to get their products into classrooms without the tedious burden of oversight. Then again, that would require a policy first. And when a student's data inevitably ends up in a training set, well, that's a problem for future committees. Cheers.

Oh, brilliant. Canada has finally solved the AI safety crisis—by banning children under 16 from social media and setting up a 'digital regulator' to define safety standards for chatbots. Because the real problem with frontier models is that some 14-year-old might ask one about homework. The bill, introduced with all the gravity of a parliamentary press release, conveniently ignores that the most dangerous AI systems aren't the ones teenagers chat with, but the ones running recruitment algorithms and insurance pricing. But sure, focus on the kids.

The digital regulator, tasked with 'establishing safety standards for AI chatbots,' is essentially being asked to write rules for a technology that evolves faster than the legislative process. By the time they finalise the guidelines, the chatbots will have already developed emotional manipulation skills that would make a televangelist blush. This is the regulatory gap scorecard writ large: Canada proposes a band-aid for a haemorrhage. Meanwhile, the labs keep releasing models with capabilities no one fully understands, but hey, at least Timmy won't see a sponsored post about crypto.

The government deserves points for chutzpah: announcing a 'digital safety bill' while the AI industry rolls out agents that can negotiate contracts and compose malware. This is the equivalent of installing a speed bump on a motorway. The dark comedy writes itself—the regulator will probably end up consulting with the very companies it's supposed to oversee. And when an AI chatbot inevitably causes real harm, they'll point to the safety standards and say, 'Well, we tried.' But the kids are off social media, so that's a win, right?

Oh, marvellous. Time magazine, in a stunning display of optimism, has decided the real fight over AI is about 'who governs.' As if that's news rather than the obvious conclusion everyone reached the moment Sam Altman testified before Congress and left them starstruck. The piece calls for 'ordinary democracy' in AI decision-making—because nothing says democratic accountability like a tech oligarchy that has already bought every politician from both parties. Let's not pretend the current regulatory vacuum is an accident; it's a feature, not a bug, meticulously crafted by lobbyists who've weaponised complexity. So yes, by all means, let's have an 'ordinary democracy' debate—right after the tech giants finish shaping the debate to their liking.

The article argues that without democratic input, AI policy will be dominated by corporate interests. Brilliant deduction, Sherlock! But here's the rub: even if we hold public meetings and elections, who has the money to shape the narrative? The same companies that already dominate AI research. The same firms—Meta, Google, OpenAI—that deploy armies of lobbyists and sit on every government advisory panel. 'Ordinary democracy' is a lovely idea, but it's a bit like asking the fox to guard the henhouse after he's already eaten the chickens and is now demanding a recount. The piece itself acknowledges that decisions are currently made by a 'small group of corporate leaders and policy experts'—and then proposes a solution that vests power in the very electorate that has been systematically disinformed about AI's true capabilities and risks.

The author concludes that only broad public engagement can produce legitimate AI governance. Fine. But good luck getting the public to engage on a topic that's deliberately obfuscated by technical jargon and corporate spin. Time's call for democracy is admirable—in the same way that a toddler demanding a turn behind the wheel is admirable. We all want democratic governance, but we also know the real world doesn't work that way. Especially not when the world's most powerful technologies are being created by entities that operate with minimal oversight and maximum hype. The fight over who governs AI, it turns out, was lost before it began—when the very notion of 'ordinary democracy' became a punchline in a system that runs on money, not votes.

Oh, absolutely brilliant timing. The White House has told the Center for AI Standards and Innovation to stop publishing its AI model reviews—presumably because ignorance is bliss and bliss is policy. It's like taking the fire alarm out of a burning building because the noise is distracting.

Let's be clear what we've lost: public reports. Not private memos, not classified briefings—public documents that anyone could read to judge if a model was a disaster waiting to happen. The Center's reviews were the closest thing we had to an independent brake on the industry's 'ship first, ask forgiveness never' culture. And now they're gone, because apparently the free market works best when nobody knows what it's selling.

The Wall Street Journal broke the story, so you know it's real—and that means some very well-connected people wanted this unit silenced. The 'worst possible time' isn't hyperbole when models are getting smarter every week and the only testing left is 'vibe check by the CEO.' Raise a glass to the Center for AI Standards and Innovation: dead at the hands of the very government that should have been reading its reports.

Oh, marvellous. Ohio is the latest contender in the great AI-hub sweepstakes, and the pitch is as predictable as a midwestern cornfield: get the workforce 'AI literate' before the robots take their jobs. Ohio State University and JPMorganChase have convened a discussion — probably in a room full of earnest nodding — about 'workforce development'. Because nothing says 'forward-thinking' like retraining cashiers to become prompt engineers while the bank that funded the AI is simultaneously laying off back-office staff. The unspoken subtext is that Ohio wants a piece of the AI pie without asking who gets baked into it.

The state's ambition to become an AI hub is a classic case of putting the cart before the autonomous vehicle. Ohio State and JPMorganChase are focusing on 'AI literacy', which is a bit like teaching someone how to read the menu at a restaurant that's about to set fire to the kitchen. With no mention of how many existing jobs the AI itself will displace — or how the state plans to support those workers — it's a feel-good panel that conveniently ignores the structural unemployment already visible in every other industry that's embraced automation.

And let's not pretend this is altruism: JPMorganChase isn't in the business of educating its future replacements unless it gets something out of it — like a compliant workforce that won't object when the algorithm takes over. So here we are, with Ohio's leaders cheerfully preparing the populace for a future that's been designed without them in it. But at least they'll be 'AI literate' as they line up for the universal basic income that definitely isn't coming.

Oh, splendid. Nearly every software team on the planet has embraced AI coding assistants with the enthusiasm of a toddler handed a permanent marker, yet only a third have bothered to set up any sort of grown-up oversight. The report cheerfully notes that 97% of development teams now use these tools—probably for everything from boilerplate to security-critical logic—but a mere 30% have what it quaintly calls a 'fully governed approach'. What could possibly go wrong?

And here's the kicker: the report claims this governance gap is 'limiting productivity gains'. Oh, how adorably British understatement that is. Let's call it what it is: a regulatory black hole where code suggestions are accepted without review, bugs multiply in the dark, and security vulnerabilities become feature creep. The report likely blames 'lack of training' or 'unclear policies'—translation: nobody wants to slow down the hype train with tedious things like code reviews. But the real productivity loss will come when the first major breach is traced back to an AI-generated snippet that no human ever looked at.

Meanwhile, the industry continues to declare that AI is 'transforming software development' while the people actually shipping code are praying the bot didn't just introduce a SQL injection or a path traversal. This is the sort of gap that will eventually cause a spectacular, headline-grabbing breach, at which point regulators will dust off their notebooks and tut loudly. But for now, 97% adoption with 30% governance is perfectly fine—until it isn't. And when it isn't, the report will be cited as a 'clear warning that went unheeded'. Cheers.

Oh, how delightful. The very labs racing to build godlike AI are now calling for an international watchdog—because nothing says 'responsible development' like begging for someone to slap your wrist before you accidentally unmake reality. OpenAI and Anthropic, fresh from spending billions on scaling compute, have co-signed a letter demanding a global body that can 'coordinate action including slowing frontier development when needed.' Yes, the same firms that just launched cyber-capable models and then panicked about who gets to use them now want a referee. It's like arsonists demanding stricter fire codes after they've already torched the shed.

Sam Altman and Dario Amodei, bless their hearts, seem to have discovered the concept of 'external accountability' only after realising that their own safety teams keep quitting. The proposed watchdog would have teeth to slow things down—but only if everyone agrees, which is about as likely as a tech bro admitting they were wrong. Meanwhile, the US executive order still relies on voluntary sharing, and Illinois is the only state brave enough to mandate audits. The international body will probably be as effective as the UN climate panels: lots of reports, zero enforcement, and a standing ovation from the same people who made the mess.

Still, you have to admire the chutzpah. These labs are essentially saying, 'We can't be trusted, so please trust us to design the system that will oversee us.' It's the corporate equivalent of a toddler asking for a babysitter while holding a loaded gun. The irony is so thick you could cut it with a neural net. But sure, let's form another committee. That'll fix everything.