The News,
Decoded.

Ah, marvellous. Senator Bernie Sanders has looked upon an AI security incident and concluded the only rational response is to slam the whole industry into a brick wall, while the Cato Institute — that well-known purveyor of "let the market sort it out" wisdom — has rushed in to explain that the pause is merely a misunderstanding. The Cato blog, in its infinite wisdom, insists the incident should be treated as a "blueprint for improving testing environments" rather than evidence that perhaps we are building very powerful things rather quickly. One can almost hear the libertarian gears whirring: regulation is bad, testing is good, and the fact that the attack happened at all is merely a design opportunity.

The operative detail is Cato's deft little escape hatch: "well-staffed attackers with capable models could have conducted the same attack." Well, yes, Cato, and well-staffed arsonists with matches could have burned down the warehouse — that doesn't make the fire alarm a policy mistake. The claim attempts to neutralise the incident by pointing out that the attackers weren't uniquely empowered by AI, as if that somehow reassures us. It reassures precisely nobody with a functioning sense of self-preservation, but it does allow the Institute to conclude that Sanders' pause conflates different issues and pushes the wrong solution, which is exactly the sort of conclusion one expects from an organisation whose proposed fix is — what, exactly? A slightly better sandbox?

Meanwhile, Senator Sanders presumably wants something dramatic, because that is what senators do, and Cato wants something incremental, because that is what think tanks do. The rest of us are left watching a debating society perform its rituals while the technology in question continues to improve its capabilities with or without our permission. The wrong solution argument may be right, but the right solution has yet to make an appearance. Still, one must admire the sheer chutzpah of framing an actual security breach as a "blueprint" — at this rate, the next plane crash will be marketed as an aviation testing enhancement. Marvellous.

Ah, marvellous. Another week, another excuse for mass layoffs — and this time the corporate world has found a fig leaf so shiny you could check your tie in it. Northeast Times reports that 59 percent of US hiring managers now confess they emphasise AI when explaining hiring freezes or redundancies, because it "plays better with stakeholders" than the plainly less sexy truth: "we have run out of money". So the technology that's supposedly automating the middle class of software engineering is now also automating the corporate alibi. Lovely.

New York, bless its regulatory heart, actually built an AI disclosure box into mass layoff notices. Of more than 160 companies that filed such notices, exactly one — one! — ticked it. That is not a statistical blip; that is a checkbox-shaped black hole. The state can demand transparency till the cows come home, but if the only firm to own up is either a saint or a sucker, the resulting dataset is worth precisely nothing. Meanwhile the other 159 companies get to blame the machines while the CFO quietly shreds the headcount budget.

And this is how the middle class of software engineering gets hollowed out: not with a bang, but with a bullet-pointed slide deck claiming "AI-driven transformation". Hiring managers have learned that "the AI did it" is the twenty-first-century equivalent of "the dog ate my homework", except the dog is a chatbot and the homework is your career. The real hollowing-out is of honesty — and, given that 59 percent are openly admitting to the deception, they don't even seem to think they're doing anything wrong. One hopes the 159 silent companies will eventually find the disclosure box. Maybe they just can't see it through the haze of their own PowerPoint bullet points.

Ah, marvellous. The UK government has peered into the abyss of AI-assisted bioweapons and concluded that what the situation truly demands is a slightly more thorough customer-vetting process at the DNA synthesis counter. According to TechRepublic, Whitehall is considering regulations that would require laboratories producing synthetic DNA to screen their buyers and flag suspicious genetic sequence requests, on the theory that weak safeguards currently let malicious actors order up dangerous pathogens like takeaway curry. Because history teaches us that every bioterrorist in history has been defeated by a well-designed checkbox.

One does have to admire the regulatory imagination that imagines the bioweapon-curious logging into a synthesis portal, uploading their engineered pandemic, and being stopped by a polite error message: "We have detected that your sequence may be dangerous. Please try again, but with more plausible genes." The obvious flaw — that a person determined to build a pathogen can split an order across a dozen labs, or use an overseas provider with more relaxed screening — goes unmentioned, or at least undeterred. The gap between the threat being described and the remedy being proposed is wide enough to drive a centrifuge through, but at least the UK will be able to tell voters it did something. A form was filled. A box was ticked. The pathogens, presumably, took note.

Still, let's not be churlish. The article is careful to say the UK is "considering" regulations, which in Westminster-speak means a working group has been formed, a consultation document has been commissioned, and the whole thing will be energetically deferred until the relevant ministers have moved on to other portfolios. The title itself does the heavy lifting: "UK Considers Tighter DNA Screening Rules Over AI Bioweapon Risks" — not "UK Implements," not "UK Enforces," but "Considers," which is the national sport. One day, perhaps, a pathogen will be designed by AI, synthesized by an unscrupulous lab, and released into the wild, and the government will respond with a strongly worded screening requirement. And we'll all feel terribly safe.

Ah, marvellous. The Washington Post has decided the greatest threat posed by AI is not the machines themselves but the governments that might regulate them. In a piece dated August 13, 2026, we learn the three hottest ideas for AI oversight: Sam Altman's IAEA-style international body, a House scheme to license "verification organizations," and Google's industry-funded self-regulation — a proposal that essentially asks the fox to submit its own expenses for the henhouse audit. Congress, the author pleads, must define strict limits for government power *before* these bodies are invented, a request with the same energy as asking a teenager to sign a contract for a car they don't yet own.

Let's examine the offerings. Altman's IAEA authority would send international inspectors to AI labs, which sounds excellent until you remember the IAEA's other clients treat inspectors as a tourism opportunity. The House proposal creates government-approved auditors, with all the accountability that implies, i.e. none. And Google's self-regulatory masterpiece means the company that insists it can police its own algorithms would police everyone else's, with the bill sent to the lobbying department. Three approaches, one common thread: the fox has been issued a clipboard and a badge.

The truly grim bit is the op-ed's timing. It is not arguing that regulation is unnecessary; it is arguing that regulation might be done badly. The author wants Congress to tie the next regulator's hands before the regulator exists — a pre-emptive strike against competence. And with three rival proposals already lining up for the lobbyists' ballet, you can hear the pencils sharpening. The best we can hope for is that Congress defines limits so strict that new agencies cannot order coffee, let alone verify a frontier model — that will fix everything.

Ah, how marvellous. The EU AI Act finally shuffled into applicability on August 2, 2026, and the continent's immediate response is to export the compliance headache faster than a Eurostar leaving Waterloo with a delayed signal. Brussels has succeeded in doing what decades of trade diplomacy could not: it has convinced India — via an op-ed in The Hindu, no less — that someone else's regulation is its competitive advantage. The AI supply chain is now officially 'pressured', which is Brussels-speak for 'everyone's lawyers have started billing by the nanosecond'.

The elegant irony is that the Act was sold to the public as the instrument that would tame high-risk AI, yet the only sector guaranteed to prosper under it is the legal profession. Indian legal and technical professionals are expected to absorb the compliance work, which means the EU's world-saving project becomes a staffing arbitrage play. Somewhere in Bangalore, a contracts associate is already drafting a conformity assessment for an algorithm that does not exist yet, for a system that may not work, for a risk that Brussels cannot define. That is not regulation; that is a substitute for it.

So the EU gets moral authority, India gets the jobs, and the rest of us get to watch the world's most ambitious AI law turn into an outsourcing brochure. Perhaps high-risk systems will become safer as a result. Perhaps — like every Brussels directive before it — the Act will simply generate an entire sub-discipline of consultants who specialise in explaining what it means, while the frontier labs carry on training ever larger models in jurisdictions that never signed the paperwork. Either way, the supply chain is 'pressured', which is exactly how the modern European prefers their existential risk: pressure-cooked, outsourced, and invoiced in rupees.

Ah, splendid. The Cipher Brief — a publication that takes national security seriously enough to make you want to check your acronyms — has delivered a thunderbolt of revelation: almost every AI security framework rests on the misguided assumption that danger scales with model size. The title, "The Biggest AI Models Are Not the Biggest Threats," is offered with the solemnity of a Curia announcement. One can imagine the analysts nodding sagely, as if they have just discovered that the Titanic sank because of an iceberg and not because someone stored the lifeboats for decoration.

The phrase "almost every" is doing the kind of heavy lifting that wins Olympic gold. It implies that the remaining few frameworks either had a lucky guess or were designed by people who have actually used a laptop. This is the same security establishment that has spent the past few years writing frameworks that treat the giant frontier models as the only legitimate object of fear, while the more modestly sized models — the ones that fit on a consumer graphics card and can be fine-tuned by a graduate student with a grudge — are left to roam free. The analysis amounts to a polite, think-tank-approved way of saying: you have all been staring at the castle gate while the enemy sauntered through the kitchen.

Naturally, this being the world of AI security, the likely outcome is a series of panels, a few op-eds, and a recommendation that a new taskforce be formed to study the matter further. The actual frameworks will continue to require frontier labs to file impact assessments while the open-source weights that are actually being used for mischief carry on as before, because regulating those is hard and doesn't come with friendly photo opportunities. The biggest models will continue to be treated as the highest risk, because they are the easiest to point at. And everyone will carry on as usual, comforted by the knowledge that at least the analysis was published. There's a reason the horse bolted long before the stable door was invented.

Ah, splendid. Illinois has decided that the most effective way to govern a technology that could end civilization is to demand a transparency report. The Land of Lincoln defines "catastrophic" frontier AI risk as anything that kills more than 50 people or causes more than $1 million in property damage in a single incident. So 49 deaths and a half-million dollars of damage? That's just an ordinary Tuesday, apparently. And "materially contribute" — a phrase so slippery it could pass as diplomatic. We're all deeply reassured that the state has thought this through with the precision of a law school exam.

But there's more. The same package updates the Illinois Human Rights Act to prohibit employers from using AI that discriminates on protected classes. Because the real problem with AI discrimination was that it lacked proper paperwork. Now the algorithms can simply discriminate on postcode, school tie, and credit score instead — the traditional, legally licensed channels. And let's not pretend the transparency reports will be anything but PDFs filed with some underpaid clerk in Springfield, eliciting a sternly worded letter should a lab ever admit its model might kill 51 people. That'll happen the day after a frontier lab voluntarily admits that its model is a menace, which is to say precisely never.

So, a round of applause for Illinois, which has reduced AI safety to a form-filling exercise. The Human Rights Act update at least has teeth — but no enforcement mechanism, so the AI can discriminate as long as nobody catches it. The "catastrophic" threshold is set so high that any honest assessment will conclude there's no risk whatsoever. After all, the first model to cause a million dollars' damage will probably do it in a server room during a weekend overheating incident, and that can always be written off as depreciation. Meanwhile, the rather more pressing risk — that a model will kill exactly 49 people, say, or quietly grind down a delivery driver's pay through a biased scheduling algorithm — remains entirely legal, because that's not "catastrophic," and the law is all about the big numbers. Catastrophe, averted; careers, unaffected.

Ah, splendid. South Korea's finance ministry has discovered that the most effective way to win the global AI race is to promise to ease administrative procedures. It has vowed to support three megaprojects — semiconductors, physical AI, and AI data centers — and expects the resulting investment to reach 4.2 trillion won, or $2.96 billion. One can almost hear the ministry's press office polishing its 'world-class regulatory environment' slogan. The word 'vow' is doing heroic lifting there, as is 'expects.'

Let us savour the specifics. Three megaprojects, one regulatory easing, and a single investment figure that must somehow be split between chips, robots, and data centers. $2.96 billion sounds substantial until you recall that a single large AI data center can eat that much in construction costs alone. The ministry has not troubled itself to name which regulations will be eased, which administrative procedures will be shortened, or which companies will benefit. Perhaps it should ask the country's beloved chaebols how many administrative procedures actually stand between them and a new fab. But that would require a different kind of vow — one about transparency. Why would it? The important thing is the headline, not the footnote.

Naturally, this is framed as a 'vow' rather than a law, a budget, or a binding commitment. South Korea already dominates memory-chip manufacturing, so the semiconductor part is plausible enough; physical AI and data centers are where things get fuzzier. But the pattern is as old as industrial policy: promise to cut red tape, announce a round number, and wait for the private sector to applaud. The careful choice of 'ease regulations, including administrative procedures' suggests that no one should expect actual deregulation, merely a gentle shove at the paperwork. If those 4.2 trillion won materialise, marvellous. If they do not, there is always another megaproject, another vow, and another finance ministry press release. The administrative procedures, one suspects, will be fine.

Ah, splendid. The auditors who sign off on the world's most important numbers have decided that the best way to handle artificial intelligence is to ask the regulators to hurry up and tell them what it means. PwC and Baker Tilly — two firms with enough partners to populate a small principality — have joined investor groups in pestering the Public Company Accounting Oversight Board to 'prioritize' staff guidance on AI-driven methods. That's right: the regulated are now lobbying the regulator to move faster, because the machines are already in the engine room and someone needs to draw a manual before the ship hits the reef.

The request itself is a masterclass in corporate doublespeak. 'Help auditors apply existing standards to AI-driven methods' translates as: we have already plugged the black box into the audit trail, and now we would like a blessing, a deadline and a careful note about where to file it. The PCAOB, being a watchdog, is expected to conjure this guidance from its staff without the boring old formality of actual rulemaking, because that might take years and PwC has a quarterly reporting season to impress. Meanwhile, investors — the very people who lose money when audits go wrong — are cheerfully signing the petition for more speed, presumably believing that a quick memo will make the algorithms trustworthy.

And what will this glorious fast-tracked guidance actually say? Either it will be so gloriously vague that any actuarial algorithm, however opaque, can be waved through with a footnote saying 'judgment applied', or it will be so prescriptive that it's obsolete before the PDF is sealed. Either way, the illusion of oversight will be maintained, the billable hours will flow, and when the next great audit scandal erupts — as it always does — the responsible parties will point to the guidance and say they followed it to the letter. Roll on the inevitable committee hearing: at least the witnesses will have slides.

Ah, splendid. Anthropic has decided that the most effective way to comply with the EU AI Act's Article 50 is to stick an invisible etiqueta on everything Claude writes. Since August 2nd, every generated sentence carries a watermark, and every file boasts signed provenance metadata, in a global policy without an opt-out. Like a sanitary inspector stamping 'passed' on a condemned building, but with more self-satisfaction. One pictures the compliance team cracking open a crate of prosecco, having ticked the 'transparency' box in remarkably small letters.

The beauty of this scheme is that nobody can actually see the watermarks. Presumably they function like the digital equivalent of an afterthought — a stamp that says 'This text was regurgitated by a statistical parrot', but only if you run the right detection tool. And because it is a global policy, the rest of us get to enjoy a transparency measure designed in Brussels, whether we want it or not. To be fair, this is at least more honest than the US approach, which is to let every startup fake it until the lawyers show up. But one does wonder: what exactly have we bought with this new layer of invisible bureaucracy? A watermark you cannot see, on text you cannot trust, applied by a company that cannot guarantee it works.

One has to admire the sheer chutzpah of pretending that an invisible watermark solves the transparency problem. A single paraphrase, a bit of machine translation, and that clever little signature is gone. It's the regulatory equivalent of a handshake in a mosh pit. Still, this gives European bureaucrats something to wave about at conferences, and Anthropic a line on its sustainability report. Meanwhile, the actual model remains a black box that occasionally hallucinates court cases. But the watermark! The watermark is immaculate. What a time to be regulated. So let us raise a glass of lukewarm EU-compliant gin to the future, where every lie comes with a tiny, invisible certificate of authenticity.

Ah, Missouri. The Show-Me State has apparently decided that the most efficient response to the AI revolution is to hold a photocall at Lindenwood University and describe it as a 'first step.' Step forward the Missouri House Future Caucus, a group whose name suggests it has gazed into the future and seen... a press release. Led by State Rep. Colin Wellenkamp, the caucus has announced 'upcoming legislation' targeting 'AI infrastructure' and a 'new community engagement tool.' Wonderful. Two phrases that have never been required to mean anything, deployed together in one triumphant puff of nothing.

Let us parse the specifics, such as they are. The state 'still lacks guardrails for AI use,' which is rather like discovering your car has no brakes and announcing you're going to form a working group to discuss the colour of the steering wheel. There is no draft bill, no budget line, no enforcement mechanism, no definition of what 'AI infrastructure' might even be — is it data centres? Models? The chat widget on the DMV website? The community engagement tool, meanwhile, sounds suspiciously like a suggestion box with extra steps and a QR code.

Most delightful of all is the caucus's name. The Future Caucus — because why engage with the present when you can posture about tomorrow? This is the first step toward regulation in the same way that writing a strongly worded tweet is the first step toward world peace. Still, one must credit the ambition: Missouri has looked at the entire country's inability to regulate AI and said, 'Hold my beer — we'll form a committee.' The future is coming, and if we're lucky, the Future Caucus will hold a second photocall to announce its existence. That's the sort of decisive action the age of artificial intelligence demands.

Ah, the Open Philanthropy Action Fund has discovered that the quickest route to saving humanity from artificial intelligence is, naturally, a lobbying firm. The group filed two separate second-quarter lobbying reports for 2026, each one cheerfully disclosing $110,000 spent with Kyle House Group LLC. I'm sure the 'Action' in the name refers to taking decisive steps through revolving doors, not anything so vulgar as actually doing something about AI.

Let us savour the details. Two separate reports, each with the same figure, as if the fund is so eager to demonstrate probity that it has split its lobbying into two equally opaque halves. If you square this with the organisation's supposed commitment to AI safety, you get a curious picture: rather than simply bankrolling research or engaging in public debate, it has decided that the optimal way to preserve civilisation is to hire someone to whisper in ears on Capitol Hill. The disclosure itself is a small triumph of transparency — bravo — but it does rather confirm that AI policy, the most consequential decision-making of our era, is being conducted through invoices and spreadsheets.

The big labs and their donors spend multiples of that, and they get the hearings and white papers they want. Open Philanthropy, presumably with noble motives, has opted to play the same game, which means it accepts the rules as they are. One might call it the ineluctable logic of the system — every virtuous force gets dragged through the muck until it emerges with a lobbyist's card and a signed non-disclosure agreement. Mind you, at least they disclosed the sum. Many would have just channelled it through a shell company. So let's raise a glass to Kyle House Group for their invaluable contribution to making the world a better place, one quarterly filing at a time.

Ah, the 2026 election cycle, and every candidate has suddenly discovered artificial intelligence — an issue which, until recently, they were happy to leave to the people who make it and the people who ask it to compose wedding speeches. But voter anxiety over AI grows, so the platform is being assembled out of whatever polls well: ban AI from replacing teachers, tax AI services and products, regulate large frontier models. That's the whole plan. It is like fighting a meteor with a rain poncho and a politely worded letter, except the letter has been focus-grouped.

Taxing AI services is a beautiful, stupid idea — the logic, presumably, being that if the machines take all the jobs, we can at least make them pay VAT. The teachers' ban is more endearing, a candle in a hurricane, except it protects one lucky profession while the rest of the workforce gets to find out just how enthusiastically their jobs can be automated. And 'regulating large frontier models' sounds admirably serious until someone asks what 'large' means, at which point you get the kind of answer a fortune teller gives: confident, vague, and different every time. Governor races including California — the state that actually grows the labs — will now perform this ritual in public.

As for the anxiety that started it all: the candidates have staked out their positions, and nothing reassures a terrified electorate quite like a tax that will be litigated for a decade and a regulatory framework that will be outdated before the ink dries. The gap between what AI is doing and what any government can do about it remains roughly the size of California, which is apt, because that's where the conversation is happening. Teachers can sleep soundly tonight — right up until a school district discovers that a chatbot costs less than a pension and runs 24 hours a day. Same time tomorrow, folks.

Ah, California. The state that produced the iPhone, the electric car, and a thousand self-aggrandising tech manifestos has now solved artificial intelligence the only way it knows how: by forming a committee. Not just any committee — a Teen Tech Council for 'emerging tech and digital wellness,' because nothing says 'we take existential risk seriously' like asking a group of teenagers to explain to the adults which buttons do what. The Golden State is officially the second state after New York to stand up such a body, and one can almost hear the press release writers patting themselves on the back for their bold, intergenerational leadership.

Let us be perfectly clear about what this council will not do. It will not set binding standards, impose an enforceable age gate on addictive recommendation algorithms, issue fines, pull licences, or compel any company to explain why its product is engineered to hold a fourteen-year-old's thumb in a hypnotic scroll loop until two in the morning. No — it will convene, advise, and eventually produce a report recommending that something be done, sometime, by someone. The 'digital wellness' framing is especially rich in a state where tech giants have spent two decades building engagement engines with roughly the moral restraint of a tobacco executive at a school fete.

Still, credit where it is due: this is technically progress — last century, California's official response to the atomic age was Bert the Turtle, a cartoon turtle who advised children to duck and cover. Today, Bert has been replaced by a Zoom advisory body with quorum requirements, and that is undeniably an upgrade — even if the endpoint looks suspiciously similar. Here is a problem we could regulate, and here is a meeting about maybe considering a conversation regarding it. So by all means, give the kids a seat at the table. It will be educational for them to learn at an early age how enthusiastically democratic institutions capitulate to machines that evolve faster than statutes can be drafted.

Ah, South Australia. The Festival State has decided that the appropriate response to the rise of artificial intelligence is a royal commission, which is Australian for 'we are extremely concerned and would like someone else to hold the baby.' The government has announced it will investigate AI's 'effects on society,' a wonderfully broad remit that could cover everything from algorithmic bias to a chatbot stealing your grandma's pension. It is the official, gold-embossed, ceremonial way of saying we have noticed the machines, we are troubled, and we have done something that definitely does not require us to actually regulate anything.

Let us not pretend this is a rapid-response mechanism. Royal commissions are majestic, slow-moving, and expensively upholstered; they take years, produce interim reports, hear from every interested party, and eventually deliver a document that sits on a shelf next to the last royal commission's findings. Meanwhile, AI is iterating weekly. By the time the commissioner has finished thanking the first witness, the model under investigation will have been replaced, deprecated, and mourned. The announcement is not a brake pedal; it is a fluffy floor mat that may confuse the driver. It does buy time, though: five years from now, the government can point at the commission and say 'we're on it,' the eternal move of the well-publicised inquiry.

Still, one must credit South Australia with having the good sense to look worried in public. It is more than can be said for the tech companies that keep shipping increasingly powerful models and wondering why everyone screams. And if the commission does nothing else, it will create jobs for a small army of barristers, transparency lobbyists, and expert witnesses — the one industry that will always boom in the presence of a catastrophe. We await the final report, presumably for 2031, in which the commissioners will solemnly recommend that a second royal commission be established to look into the effects of the first one. Perhaps by then, the machines will be running the inquiry themselves, at least with fewer tea breaks.

Ah, Monday. That sacred day when Mark Zuckerberg blesses us with a *lengthy essay*, because nothing says 'I care about humanity' quite like a wall of text posted alongside a shiny new toy. Meta chose the same Monday to release Muse Glimmer, an open-source AI model, and Zuckerberg used the occasion to argue that open-weight AI is the glorious path to 'superintelligent AI for all.' One might call the timing immaculate: release the model first, publish the philosophy second, and hope nobody notices that the man who brought you election interference and a decade of congressional testimony is now asking for the keys to superintelligence.

The regulatory section of the essay is the true masterpiece. Zuckerberg argues *against* government regulation, a stance that conveniently aligns with Meta's bottom line, since oversight might actually require him to explain what Muse Glimmer will do once it is out in the wild. He insists open-weight models are the way forward, and perhaps he is right — if your definition of 'forward' involves handing a general-purpose intelligence to every state actor, ransomware gang, and basement-dwelling jailbreaker with a decent graphics card. The essay does not dwell on accountability; that would require Meta to answer awkward questions about how its shiny new model might be used.

Still, we should be grateful. Thanks to Zuckerberg's generosity, we no longer have to wait for governments to bumble their way through AI legislation; we can simply download the future directly and hope for the best. 'Superintelligent AI for all' sounds lovely until you remember that 'all' includes the people who think an AI jailbreak is a competitive sport. But at least he wrote a *lengthy essay*, and we all know that a well-crafted think-piece has never once been used to launder a tech billionaire's reputation. The future is open, unregulated, and almost certainly hallucinating. Well done, Mark. You've outdone yourself.

Ah, the United States has discovered a brand-new way to regulate artificial intelligence: fifty different answers to the same question, all of them wrong. The Information Technology and Innovation Foundation has issued a report in which policy analyst Alex Ambrose warns that state chatbot laws are building a 'regulatory patchwork' that could give compliance lawyers the job security normally reserved for nuclear war planners. Quite right, because nothing says 'we take chatbot risks seriously' like fifty separate legislative definitions of what a chatbot actually is. One imagines the ITIF board congratulating itself on a report so sensible it will be cited, nodded at, and ignored by every statehouse in the land.

Ambrose's central demand is almost painful in its reasonableness: focus on documented harms, and resist the urge to import social media policies wholesale. One wants to applaud, until one remembers that 'documented harms' in tech regulation have historically been documented about four years after the harm has finished happening, usually during a Senate hearing where the executive says he was 'not aware' of the memo. The alternative — importing social media policies — is precisely the lazy photocopying that state legislatures perform with the enthusiasm of a photocopier promised a warmer room. Still, credit where due: the man has identified the patchwork problem, which is more than most federal legislators have managed.

The likely solution is a federal bill that arrives in 2029, containing one enforceable provision requiring chatbots to politely decline to answer questions about the bill itself. States will continue their game of Whac-A-Mole: California regulating chatbot empathy, Texas regulating chatbot honesty, Florida regulating chatbot weather predictions. Companies will comply with the strictest rule everywhere, pass the cost to consumers, and call the exercise 'innovation-friendly'. Alex Ambrose is right that a patchwork is a problem; he is too polite to point out that the alternative is a federal government that cannot agree on the colour of the sky. One hopes the ITIF's next report tackles the real emergency: chatbots ending up more coherent than the legislatures regulating them.

Ah, the sweet sound of 1,300 tech employees collectively discovering that the train they're driving might be hurtling toward a cliff — and their solution is to write a strongly worded letter asking someone, anyone, to please install a brake. The open letter, signed by more than 1,300 of the industry's finest, asks the U.S. government to support an international effort to develop 'technical and governance tools' to 'deliberately pace the frontier of automated AI development.' Marvelous. 'Deliberately pace' — that's the kind of euphemism that makes you wonder if the signatories have ever seen a corporate mission statement. It means slow down, you fools, before we all get replaced by a system that can write better mission statements than we can.

Of course, the letter is addressed to the U.S. government, the same institution that has spent years treating AI regulation like a hot potato at a garden party. The same government that couldn't agree on what AI is, let alone how to pace its frontier. And what do the employees ask for? Not a moratorium, not a ban, but the 'development of technical and governance tools' — which in practice means more committees, more white papers, and more funding for the very sorts of institutions that have been so effective at reining in the industry so far. It's like asking the fox to design a better chicken coop.

But let's give credit where it's due: these 1,300 souls have at least gone on record. They've put their names to something that says 'maybe we should pause and think,' which is more than most of their colleagues have done — most are presumably still busy trying to make their AI models a little bit less racist. One imagines the letter being circulated over a lunch break, then filed away in a drawer while the board reviews quarterly projections. The frontier will not be paced, the letter will be archived, and in a year someone will dig it out and say 'we told you so.'

It is a truth universally acknowledged, that a governor in possession of a re-election campaign must be in want of some AI news. And lo, Gavin Newsom has delivered: a new AI cyber defense program to protect California's critical infrastructure, ostensibly from the machines we have created. The announcement, resplendent in its lack of detail, gives us the words 'Innovation Council' and 'Emerging Tech Accelerator' as if they were launch codes. No budget. No deadlines. Not even a helpful Venn diagram of which critical infrastructure — those pipes, those power plants, those traffic lights — will be saved from the rise of the digital overlords.

The Emerging Tech Accelerator, we are told, will 'inform AI policy and improve government service delivery.' Lovely. Because when the state's water system is being held to ransom by a cryptolocker in Nagorno-Karabakh, what Californians will surely need is a cohort of startup founders who 'disrupted' the committee chairperson's thinking. And the Innovation Council? A truly innovative body, if innovation is defined as meeting quarterly to decide whether to schedule more meetings. Will it have teeth? Will it have a budget? Will it have access to the air-gapped networks that actually run the grid? The press release is silent, which is itself a kind of answer.

So here is California's grand strategy: a council to deliberate, an accelerator to accelerate, and a shrug where a firewall should be. The only 'critical infrastructure' truly protected by this program is the governor's buttocks, covered as they now are by a press release. And one cannot help but recall that the most effective cyber defense is often removing the human factor — but nobody wants that, because then who would attend the ribbon-cutting for the Innovation Council's first annual report? We are building the machine that will one day defend us, and it runs entirely on its own press releases. It is, at least, on schedule.

Oh, marvellous. India's government has clarified that it isn't demanding Meta overhaul its algorithms — heavens, no — just that it follow Indian law rather than "global policies." This is the diplomatic equivalent of telling a guest they needn't redecorate, but they must stop wiping their feet on the constitution. Apparently "talks focused on improving content," which presumably means content that doesn't get politicians into trouble before elections.

Meta's "global policies" are a magnificent fiction, a set of community guidelines drafted somewhere in California by lawyers with excellent posture and no obligation to Indian courts. The government sources didn't name any law, but that's the beauty of the message: it doesn't need to, because the gap between Meta's self-regulated utopia and the statute book is roughly the width of the Indian electorate. One almost admires the firm's ability to treat every country's legal system as an optional downloadable add-on. "Follow Indian law" must have landed in Menlo Park with all the force of a parent's "because I said so," after years of being courted as a guest of honour at tech summits. But then, global policies are so much more convenient when you're trying to be everything to everyone everywhere at once.

Still, credit where due: the government clarified it did not ask for algorithmic overhaul. Perhaps because it knows asking Meta to explain its algorithms is like asking a cat to explain its life choices — technically possible but exhausting, and the answer will be unhelpful either way. The real tell is the word "content," which in regulatory-speak means "we're watching what you serve our people, and we trust you'll decide to serve something less inflammatory." No fines, no deadlines, no specifics — just a firm, smiling suggestion that Meta follow the law. Which in this town is code for "we'll be back with the actual rules when we've finished arguing about them," by which time Meta will have redesigned its policies to technically comply with a law that hasn't been written yet.