The News,
Decoded.

Oh, marvellous. The Vatican's newest occupant, Pope Leo XIV, has taken time out from his busy schedule of blessing crowds and appointing cardinals to issue his first encyclical—a fervent manifesto, no less—urging the world to 'slow down' on AI. The good Pope warns that AI spreads misinformation and risks 'unending war,' as if the current state of human conflict needed any help from algorithms.

But the real kicker is the call for data ownership not to be left solely in private hands. Yes, because the Vatican—an absolute monarchy with a secret archive, a bank that's been embroiled in scandals, and a global network of informants called 'confessors'—is exactly the model of transparent data governance we should look to. Never mind that the tech giants are already racing ahead, lobbying regulators into submission, while the Pope's document will spend the next few years being debated by theologians who think 'API' is a type of liturgical vestment. By the time the Catholic Church finishes its consultation process, we'll have AGI writing encyclicals for them.

Of course, one must applaud the ambition. A global slowdown on AI is exactly what we need—right after we get everyone to agree on a common calendar, resolve the schism between Eastern and Western churches, and convince the College of Cardinals that maybe, just maybe, the earth revolves around the sun. The encyclical is a beautiful piece of aspirational thinking, much like asking a toddler to please stop colouring on the walls. But as long as the tech CEOs are making money hand over fist, and governments are busy not regulating anything, the Pope's manifesto will be filed alongside other well-meaning but toothless declarations: harmless, noble, and utterly ignored.

Oh, splendid — the first major labour fight over AI's windfall has erupted in South Korea, and California, ever the trendsetter, is already sniffing around for the sequel. Because nothing says 'responsible AI transition' like workers having to strike for a slice of the productivity pie their own labour helps generate. The 'coming AI profit revolt,' as Axios so charmingly puts it, is the inevitable result of telling everyone for years that AI will boost profits while carefully omitting whose profits and at whose expense.

You can almost hear the C-suite panicking: 'Wait, they want a share? But we promised shareholders infinite margin expansion!' The South Korean dispute — reportedly involving Samsung and other tech giants — is a preview of every boardroom nightmare to come. And California, with its 'California socialism' appetites, is already drafting the exploratory committees. Because of course, the state that brought us gig-economy battles and Prop 22 is going to watch this one from the sidelines.

So here we are: the machines get smarter, the executives get richer, and the workers get to fight for scraps. The 'profit revolt' isn't coming — it's here, starting in Seoul and heading to a Silicon Valley campus near you. Grab your popcorn and your union card. This is going to be a glorious, messy, utterly predictable disaster. Cheers.

Oh, lovely. The California State University system, all 23 campuses of it, has decided to spend $17 million of taxpayer money on a no-bid contract with OpenAI for ChatGPT Edu. Because nothing says 'rigorous academic governance' like skipping the tender process and handing a monopoly to a company whose product's main claim to fame is inventing plausible-sounding nonsense. But who needs evidence when you have a sexy name like 'ChatGPT Edu'?

The university's administration claims this is about preparing students for the 'AI-powered workforce'. Because the best way to prepare for a future where your job is automated is to start by automating your own education. The faculty are worried about academic integrity and the erosion of critical thinking. But don't worry — OpenAI's chatbot will write a very convincing essay about why that's actually a reasonable trade-off. The environmental cost of training these models? Oh, that's just the price of progress, darling. Never mind that the same students are supposed to be learning about sustainability.

And the pièce de résistance: this is a 'pilot program' with 'no guarantee of renewal.' So we're spending $17 million on a trial that everyone involved except the people writing the cheque seems to hate. If this were a student's budget proposal, it would be rejected for lack of due diligence. But it's an administration with a tech crush and a no-bid contract, so full steam ahead into the glowing, resource-hungry unknown. Cheers.

The International Maritime Organization, that notoriously swift UN body, has finally adopted binding rules for autonomous ships. The MASS Code — International Code of Safety for Maritime Autonomous Surface Ships — is supposed to ensure safe integration of AI-enabled and remotely operated commercial vessels. Because nothing says 'safety' like a bureaucratic code crafted by committee while actual ships are already navigating autonomously in some waters. The technology has been outpacing regulation for years, and now we're meant to believe a document will fix that.

The code is 'binding' in name, but enforcement depends on flag states — countries that often compete for shipping registry business by offering lower standards. Shipping companies will surely comply enthusiastically, just as they do with existing safety regulations. The real test will come when the first autonomous vessel causes a major incident; then we'll see if these rules have any teeth. Until then, the gap between the code and reality is where innovation and profit flourish, with minimal oversight.

So raise a glass to the IMO for its timely intervention — if by timely you mean 'years late and already obsolete.' The MASS Code is a classic example of regulatory catch-up: well-intentioned, probably ignored when inconvenient, and certain to be outpaced by the next generation of AI. But hey, at least we have a code now. It may not prevent the first autonomous ship disaster, but it'll provide excellent reading material for the inquiry that follows. Cheers.

Oh, brilliant. Google's security executive has graced us with a warning about 'shadow AI' — the spectre of employees using ungoverned AI tools to get their jobs done. This from the company that practically invented 'move fast and break things' before pivoting to 'move fast and secure things, maybe, eventually.' The executive, speaking to TechCrunch on May 24, 2026, insists companies must 'demand security and governance from AI platforms from the start.' Right, because demanding things from platforms has always worked so well — ask anyone still waiting for their GDPR compliance from Facebook.

The real punchline is the admission buried in the hand-wringing: even Google is 'figuring out AI security in real time.' They're telling the rest of us to demand what they haven't yet built. It's like a pilot announcing mid-flight that they're learning how to land, but don't worry, they'll figure it out. Meanwhile, employees have already deployed generative AI copilots for everything from writing code to drafting legal contracts — because what could possibly go wrong when your sales team is feeding customer data into an API with no oversight?

So the takeaway, as 2026 trundles on, is that the people building the AI are also the ones panicking about its security. They're selling the rope even as they realise they don't know how to secure the noose. The 'shadow AI' warning is less a call to action and more an admission of systemic failure, dressed up as thought leadership. But sure, demand security from the start — just don't expect anyone to know what that looks like until after the breach.

So here we are: students accused of AI cheating are now hiring lawyers, because of course they are. The article reports that many of these accused students didn't actually use AI at all—they just fell foul of detection software that's about as reliable as a chocolate teapot. Others were punished for violating policies so vague that a barrister couldn't parse them without a stiff drink.

It's a beautiful irony: the same institutions that rushed to deploy AI detectors (themselves known for hallucinating false positives) now find themselves in legal crossfire. The pattern is familiar: first hallucinated references infiltrated academic papers, now hallucinated cheating accusations are infiltrating student records. And the 'long-term consequences' these students fear? They're real, while the 'AI use' they're accused of is often imaginary.

Meanwhile, the legal industry sees a new revenue stream: the 'AI accusation defence lawyer.' It's almost poetic—the technology that was supposed to make education fairer has instead birthed a cottage industry of litigation. The only winners here are the lawyers, and possibly the companies selling those detection tools, who get to keep their product's abysmal accuracy out of court… for now.

Well, well, well — the SpaceX IPO prospectus has finally lifted the hood on xAI, and it's not pretty. The AI darling posted an operating loss of $2.47 billion on just $818 million in revenue in Q1 2026, following a full-year 2025 loss of $6.36 billion on $3.20 billion in revenue. That's what Morningstar Canada charmingly calls 'reckless,' which is corporate-speak for 'we're burning cash faster than a Falcon 9 on re-entry.'

Elon Musk's latest vanity project is hemorrhaging money at a rate that would make a Silicon Valley bubble startup blush. The numbers are hilariously lopsided: xAI spent nearly three dollars for every one it earned last year. In Q1, the ratio got even worse — roughly $3.02 in losses per dollar of revenue. That's not a business plan; that's a pyre made of server racks and GPUs, fuelled by the delusion that throwing enough compute at the problem will eventually print money.

But here's the kicker: this isn't a standalone company; it's a subsidiary nested inside SpaceX's IPO. The prospectus essentially serves as a warning to potential investors that xAI's financials look like a controlled demolition. And yet, the narrative persists that frontier AI models are on the cusp of miraculous profitability. Sure, keep telling yourself that while xAI's operating loss could fund a small country's GDP. What could possibly go wrong?

Marvelous news from the UK government, as reported — inevitably — by an Australian trade publication: they've opened applications for self-driving bus, taxi, and private hire services in a new pilot scheme. Because what British roads need is more vehicles that can't see potholes, don't understand bus lane rules, and will treat a zebra crossing as a courtesy. The title asks 'Could self-driving buses soon carry UK passengers?' — and the answer is probably 'Yes, for about a mile before a sensor fails and they park in a roundabout.'

The pilot is designed to shape future regulation, which is comforting given that current regulation was built around the horse and cart. Operators are invited to apply to run services that presumably won't involve the vehicle suffering a nervous breakdown when confronted with a traffic cone or a confused pedestrian. The timeline is characteristically vague, but one can safely assume the first automated bus will be held up by a cyclist before it even leaves the depot. The UK's previous autonomous vehicle trials have included shuttle services that move at a pace that makes joggers look reckless.

Still, there is a desperate need for regulation to catch up with the technology, as our safety institutions continue to grapple with risks we've barely defined. The government says the pilot will inform future regulation, which suggests we're currently regulating based on hope alone. Perhaps this time will be different — perhaps the Department for Transport will produce rules that actually keep pace with the industry. But given the UK's track record with transport megaprojects, don't bet your bus fare on it.

Well, isn't this just the academic equivalent of letting a toddler proofread your thesis. A new study reveals that in 2024, one in every 458 papers contained at least one fake reference generated by AI — up from a cosy one in 2,828 in 2023. That's a six-fold increase in scholarly fiction, and you can bet the 'peer review' process is about as useful as a chocolate teapot. The permanent body of knowledge, they call it. Sounds more like a permanent body of landfill at this rate.

So the grand experiment of letting chatbots generate academic prose is going exactly as planned: we're building a mountain of citations to papers that don't exist, all dressed up in the language of authority. No doubt university librarians are thrilled to be the new custodians of the world's most confidently wrong footnotes. And the AI labs? They'll call it a 'known limitation' and ship the next model with even more convincing hallucinations, because the incentive structure rewards speed over truth.

The real punchline is that this is somehow a surprise. We watched LLMs write entire novels about giraffes in space, and the best idea we had was 'let's use them to help write peer-reviewed articles.' The permanent body of knowledge is now a permanent body of baloney, and every grad student chasing citations is now a part-time archaeologist digging through fake references. Progress is wonderful, isn't it?

Ah, wonderful — another round of diplomatic table tennis where the ball is labelled 'the entire spectrum' and nobody scores. India's Jaishankar and America's Rubio have reviewed 'the entire spectrum' of bilateral ties, including AI, according to a post on X. That's right, X — the platform once known for cat memes and Nazi bar arguments, now the preferred medium for announcing the fate of humanity's most transformative technology. 'Entire spectrum' is doing heroic work here: it covers exactly as much ground as we're told and no more.

The post itself, from Jaishankar's account, is a masterpiece of opaque diplomacy. It mentions trade, energy, critical minerals, and AI — but offers zero specifics. Which AI? Whose AI? Any agreements? Just vibes. This is the geopolitical equivalent of saying 'we discussed things' after a three-hour meeting. Given that AI is currently reshaping warfare, labour markets, and the fabric of truth itself, one would hope for a communiqué with teeth. Instead we get a social media post with the gravitas of a lunch order. Even the critical minerals bit — the physical stuff that makes AI hardware possible — gets the same vague treatment. So yes, two massive nations have 'reviewed' AI ties. Review is a safe word: it implies looking without touching, discussing without deciding, observing without acting.

And so the pattern continues: a thousand such reviews, a hundred signed MoUs, a dozen 'AI partnerships', and the actual trajectory of AI development remains determined by a handful of labs in California and Beijing. The India-US AI relationship is now officially on the record as 'reviewed'. Perhaps next week they'll 'acknowledge' it. Or 'consider' it. By the time they 'act', the models will have learned to write their own diplomatic notes. At least the X post will fit on a screenshot.

Pope Leo XIV is set to release a landmark encyclical on 'safeguarding the human person in the time of artificial intelligence,' joined by leading Catholic figures and Anthropic co-founder Chris Olah. One imagines the working group meetings: 'Your Holiness, the model is currently fine-tuning on the entire corpus of Aquinas.' 'Splendid, but does it respect the sanctity of the human soul?' 'We'll need to check the RLHF reward model.'

The timing is impeccable: just as frontier models are jolting Washington and learning to fly planes, the Church offers a document. The gap between the encyclical's lofty language and the breakneck speed of capability leaps is wide enough to park a Swiss Guard truck in. While the Pope writes about dignity, researchers test whether GPT-5.5 can hack a power grid. But sure, let's 'safeguard the human person' with a press release and a prayer.

Still, credit where due: at least someone is trying to articulate principles. The encyclical will probably be a thoughtful meditation on human uniqueness, machine limitations, and the importance of keeping the human in the loop. Then the loop will be automated, the human fired, and the encyclical will sit beautifully on a Kindle assembled by robots. One can almost hear the collective sigh of relief from Silicon Valley: 'Finally, the moral framework we've been begging for.' The last line, perhaps: 'And lo, let us pray that the alignment is not just of models, but of hearts.' Amen.

So the UK's AI Security Institute is now the official model for ‘grappling with emerging risks’ — which is splendid, because nobody does risk management quite like the country that brought us the Post Office Horizon scandal. Staffed by alumni from OpenAI and Google, the institute is essentially a reunion for the very people who spent the last five years building the digital snake pits they now claim to inspect. Nothing says ‘trust us’ like hiring the engineers who thought RLHF was sufficient and calling it a safety firewall.

Weapons inspectors and code breakers are apparently on the payroll, which is either chillingly appropriate or a Jobs for the Boys scheme for people with niche CVs. The NYT reports the institute is ‘becoming a model’ — because obviously the safest approach is to have the same lab-trained talent that gave us hallucinating chatbots now decide what counts as a ‘danger.’ It’s like hiring the arsonist to fireproof your house; at least they know exactly where all the flammable corners are.

And what of the actual dangers? The article doesn't name a single concrete risk the institute has prevented, just that it’s ‘hunting’ for them. So far it's a hunting trip with no bagged game, staffed by the people who accidentally created the prey. But sure, let's make this a model for other countries — because the global standard for AI safety should absolutely be whatever combination of former Google DeepMind employees and ex-weapons inspectors can agree on over a cup of tea. Smashing.

Well, well — the Musk-OpenAI trial has concluded, and the jury has decided in favor of OpenAI. The reason? Statute of limitations, not because OpenAI is innocent, but because time ran out. How delightfully fitting for the 'first antitrust case of the AI era' — the legal system is already too slow to matter. Musk's accusations of anti-competitive behavior will now gather dust alongside countless other tech antitrust cases that never quite stuck. The system works, lads. It just works on geological timescales.

The trial was supposed to set a precedent for how antitrust law applies to AI. Instead, it set the precedent that if you wait long enough, the problem goes away — or at least the court won't have to deal with it. According to Bloomberg Law, this case may be remembered as the first antitrust case of the AI era. More accurately, it may be remembered as the first antitrust case that taught everyone that the statute of limitations is the real winner in any lawsuit. The substance of Musk's claims — that OpenAI's close-sourcing of models after promising open access constituted illegal monopolisation — remains untested. Great. So we'll just keep hurtling toward an AI oligopoly while the courts decide that the only thing faster than AI development is the ticking of the statute-of-limitations clock.

The future of AI antitrust, then, will be a glorious parade of lawsuits that expire before they're heard, while companies like OpenAI and Microsoft consolidate power. The lesson: if you're going to sue an AI company, do it before your next GPU upgrade. Otherwise, you'll be left with a jury verdict that means nothing and a legal system that has successfully punted the most consequential regulatory question of the century into the long grass. Cheers.

So, OpenAI has decided that the best way to handle the societal disruption caused by its own technology is to propose a 'public wealth fund' and 'rapid social safety net programs.' How generous of them to prepare the net they're about to push us off. Because nothing says 'we're responsible' quite like suggesting someone else pay for the mess we're making. The proposal, reported by MediaPost on April 6th, includes incentivizing employers to experiment with four-day work weeks — as if the answer to mass unemployment is to give everyone a three-day weekend. How quaint. The maths is impeccable: less work, same pay, and a public fund that will definitely be adequately capitalised by the very companies automating the jobs.

One can almost hear the collective eye-roll from policymakers who have seen tech companies offer grand plans for redistribution only to balk when the bill arrives. It's like a billionaire hosting a charity gala to solve hunger while dining on caviar. The same company that is racing to replace knowledge workers is now proposing to cushion the fall. What a noble gesture. It's almost as if they're already anticipating the backlash and putting up a smokescreen.

But perhaps the most galling aspect is the four-day work week idea. Sure, let's encourage shorter work weeks at a time when AI is rapidly automating tasks — because the math totally works out: fewer hours, same output, but somehow everyone gets paid. This isn't a safety net; it's a hammock strung over a void. And if we're lucky, OpenAI might even contribute a few cents from each API call to the fund. But don't hold your breath — they have shareholders to think about, after all. The future is bright, provided you're an AI model.

Ah, Colorado — the state that brought us the Denver omelette and legalised marijuana is now pioneering a new frontier: regulating artificial intelligence without actually saying 'artificial intelligence.' The Revised CO AI Act (note the 'AI' in the title, a cheeky wink) replaces the term with 'automated decision-making technology' (ADMT), defined as any technology that processes personal data to generate recommendations, rankings, or scores used to make decisions concerning an individual. Because nothing says 'we're tackling the most transformative technology since fire' like a euphemism that sounds like a 1970s Soviet computer terminal.

The revised act is, naturally, an improvement on the original — which presumably used the dreaded 'AI' word and scared the tech lobby into a frenzy. By rebranding the beast as ADMT, Colorado's legislators have performed a neat trick: the definition is broad enough to cover credit scoring, insurance algorithms, and rental decisions, yet narrow enough to sidestep the generative models that actually make people nervous. So the hallucinating chatbot that advises you on legal matters? Safe. The algorithm that decides whether you get a mortgage? Suddenly regulated. It's a masterpiece of targeted impotence.

Still, one has to applaud the sheer audacity of passing any law at all while federal regulators snack on their power lunches. Colorado has become the first state to attempt a blanket regulation of algorithmic decision-making — albeit one that refuses to name the technology it's regulating. It's like legislating against 'automobile transportation' while nodding at the 18-wheeler barrelling down the highway. The revised act goes into effect in 2026, giving companies plenty of time to rename their 'AI systems' as 'ADMT systems' on paper. Problem solved. Pass the popcorn.

Ah, the American legislative response to Chinese AI expansion: a shiny new office at the State Department that will subsidise purchases of US tech by allied governments. Because nothing says 'we're winning the AI race' quite like turning foreign aid into a tech retail operation. The bill, co-sponsored by senators from both parties, suggests that the best way to counter Beijing's aggressive push is to… cut them a better deal. Not build a better model, not regulate more effectively, just offer a discount. It's like trying to win a Formula 1 race by giving your competitor's fuel vouchers to your fans.

The senators are framing this as a strategic imperative, but really it's an admission that the US can't out-innovate China on a level playing field — so why not tip the scales with taxpayer money? The proposed 'American Technology for Allied Governments' office — because naming things after what they do is too straightforward — will essentially act as a government-funded sales team for Big Tech. Expect glowing press releases about 'partnerships' while the actual capability gap either narrows or widens depending on whose lobbyists wrote the bill.

What's truly galling is the timing: as frontier models get scarier by the quarter, lawmakers are busy setting up a state-sponsored procurement arm rather than, say, writing binding safety rules. But no, that would interfere with the flow of subsidised software to foreign capitals. So here we are: the world's greatest democracy responds to an authoritarian competitor's AI push by becoming a subsidised vendor. At least the State Department will have a new acronym to justify its budget. Just what we needed — more bureaucratic overhead to make George Orwell look like a tech optimist.

Well, well — the CIA has finally noticed that AI can do more than generate cat pictures. Dan Richard, Associate Deputy Director of the Agency's Digital Innovation Directorate, has declared that Anthropic's Mythos AI — a model with 'unique hacking capabilities' — should serve as a 'reflection point' for federal agencies. How delightful that America's premier intelligence organisation needs a private company's product to prompt introspection; one might have hoped the multiple prior warnings, academic papers, and executive orders would have done the trick. But no, it took a model that can apparently crack systems better than any human to make them pause.

Richard's title is a beautiful specimen of bureaucratic irony: 'Digital Innovation Directorate.' If this is innovation — waiting for a startup to hand you a hacking tool before reflecting — then God help us all. The article doesn't detail Mythos's exact capabilities, but the CIA is spooked enough to call a special meeting. One imagines the conversation: 'Right, chaps, this Anthropic thing can break into anything. Let's form a committee and maybe order a study by Q3.' Meanwhile, Mythos is already out in the wild, because of course it is.

And here's the kicker: 'reflection point' is the kind of insipid management-speak that ensures nothing actually changes. Expect a new inter-agency working group, a few white papers, and perhaps a budget line item for 'AI security research' that gets slashed next cycle. The gap between the speed of AI capability and the pace of government response is now officially a canyon. But at least we're reflecting. Pass the tea.

Oh, splendid — the Trump administration has discovered AI safety and, in a move that will surprise absolutely no one, has decided that the best way to handle frontier models is to ask nicely. The White House plans to release an executive order on cybersecurity and AI safety as soon as this week, which in its current form seeks to establish a voluntary framework for AI developers to share models with the government at least 90 days before public release. Voluntary. Because nothing says 'existential risk mitigation' like relying on the goodwill of companies that have spent the last five years telling us not to worry.

One can only imagine the internal White House debate that produced this masterpiece of regulatory theatre. The infighting, we're told, has been 'intense' — presumably between the faction that wants to nationalise AI entirely and the faction that remembers the First Amendment exists. The result? A 'voluntary framework' that sounds tough but has about as much bite as a toothless bulldog. If a company decides 89 days is sufficient notice, what exactly happens? A strongly worded letter?

Of course, the big AI labs will likely comply because they're desperate for any sign that the government is paying attention — but let's not pretend this is anything other than a fig leaf over a regulatory void. The 90-day window is generous enough to allow for testing, but with no enforcement mechanism, it's essentially a suggestion box. As the old saying goes: 'Trust, but verify' — and the Trump administration has apparently decided to skip both. Cheers to progress, one voluntary promise at a time.

Oh, marvellous — AI isn't just replacing jobs, it's toasting the planet one data centre at a time. New research from a team of climate scientists (names forgotten already, as is tradition) has revealed that our digital nirvana comes with actual thermal exhaust: 'data centre heat islands' raising land temperatures by an average 2°C and up to a staggering 9.1°C, with the heat bleeding out as far as 10 km. Because nothing says 'progress' like cooking the neighbourhood from the inside out while your chatbot tells you the weather.

The researchers, presumably having had their funding threatened, politely note that these temperature spikes aren't trivial — they're comparable to urban heat island effects, but concentrated around sterile concrete boxes that are supposedly powering humanity's brightest future. One can practically hear the industry spin: 'We're bringing warmth to underserved communities!' And while we're at it, why not rename the entire concept 'AI-assisted thermal redistribution'? The tech giants will surely be rushing to claim they're 'carbon neutral' while their server farms radiate like small stars — all offset by buying some distant forest they'll never visit.

The regulatory response, predictably, will be a masterclass in procrastination. Currently, there's precisely nothing stopping hyperscalers from toasting the surrounding countryside — no emissions rules, no heat quotas, just a polite nod to 'sustainable practices' in their blog posts and the occasional press release about buying renewable energy. By the time any legislation catches up, a few more square miles will have been turned into a silicon inferno, and local residents will be raising complaints about their wilting gardens. But fear not: your AI prompt will be answered in milliseconds, and the planet will be just fine. Absolutely fine.

Oh, splendid — another month, another 21,490 souls shown the door in the name of 'AI transformation.'

Executives from Amazon, IBM, Meta, and Oracle have discovered a marvellous new scapegoat: the very technology they've been hyping to investors. Challenger's April tally is a neat 21,490 planned layoffs pinned on AI and automation. One imagines the C-suite meetings: 'We need to cut costs. But how do we make it sound visionary rather than desperate?' 'I know — blame the robots we've been promising will save us!' It's a perfect circular logic: invest billions in AI, then use AI as the excuse to fire the people whose jobs the AI hasn't actually replaced yet. The audacity is almost beautiful.

And the best part? The actual productivity gains from these 'transformational' AI initiatives remain, shall we say, optimistically aspirational. But why wait for measurable returns when you can harvest the narrative returns immediately? Layoffs boost the stock price; AI buzz boosts the stock price. Combine the two, and you get a magical synergy of cost-cutting and futurism that lets executives have their cake and eat it — while someone else cleans up the crumbs. Cheers to progress, eh?