The News,
Decoded.

Oh, marvellous. OpenAI, the lab that couldn't figure out how to keep its own models from hallucinating their way through a Turing test, is now going to build a smartphone. Because what the world desperately needs is a device that runs on hype and occasionally decides your calendar is a work of fiction. Analyst Ming-Chi Kuo, whose track record is about as reliable as a wet iPhone, reports that OpenAI is in talks with MediaTek and Qualcomm. Those chip giants must be thrilled to partner with an organisation whose definition of 'safety' changes more often than the weather.

This is the same OpenAI that recently restricted access to Cyber after publicly sneering at Anthropic for doing exactly the same thing. Consistency isn't their brand. Now they want to take on Apple, a company that actually knows how to manufacture hardware at scale. Samsung is laughing. Foxconn is checking its schedule. The idea of an OpenAI phone probably involves a subscription fee just to unlock the camera, with an option to pay extra for a less hallucinatory photo gallery. 'Siri, what's the weather?' 'I'm sorry, I need to run a chain-of-thought to verify I am not currently dreaming of electric sheep.'

But never mind the practicalities. The real innovation here is that the phone will probably be open-source for the first 24 hours, then suddenly closed, with Sam Altman giving a heartfelt apology about needing to protect 'safety' while patenting the home button. The best part? When it inevitably flops, they'll blame regulators for not moving fast enough. Marvellous.

So Hollywood spent years wringing its hands about AI stealing the spotlight, only for the revolution to decamp to Mumbai without even sending a postcard. Indian filmmakers are now cheerfully using voice cloning—because nothing says 'artistic integrity' like digitally puppeteering an actor's vocal cords—and churning out micro-dramas that make TikTok look like Bergman. One company has announced 'India's largest AI slate,' which sounds less like a creative milestone and more like a content-flood warning.

The 'largest AI slate' is a marvellous euphemism for what will inevitably be a tsunami of algorithm-optimised schlock. Voice cloning, meanwhile, offers the perfect solution for actors who currently have the audacity to demand payment for speaking their own lines. Why pay a human when you can just sample a few hours of their past work and have the AI generate infinite new performances? It's not theft—it's 'efficiency.' The Hollywood Reporter frames this as the revolution Hollywood feared, which is adorable, as though Hollywood's fear ever stopped a single offshore production from doing exactly what it wants.

What's genuinely galling is not the technology but the sheer speed of normalisation. A year ago, AI-generated content was a curiosity—today it's a 'slate.' The regulatory and union protections that Western labour groups are fighting for will arrive just in time to cover the jobs that have already been shipped to a server farm in Bengaluru. But don't worry: the micro-dramas will be very short, so at least you won't have to suffer long.

Ah, Sam Altman, the high priest of AI transparency, has discovered the ancient art of hypocrisy. After spending weeks sneering at Anthropic for locking down Mythos to 'trusted partners' — because nothing says 'open AI' like a velvet rope — OpenAI has now proudly announced that GPT-5.5 Cyber will be rolled out 'to critical cyber defenders' only. That's right, the same company that lectured everyone about the dangers of gatekeeping is now gatekeeping. And calling it 'critical cyber defenders' is a nice touch — like handing out VIP passes to the AI apocalypse while telling the plebs to wait outside.

Let's parse this carefully. OpenAI criticised Anthropic for limiting access to Mythos, implying that restricting capabilities is anti-innovation. Now they're doing exactly the same thing, but with a different flavour of hand-wavy justification. The model is called 'Cyber' — because nothing says 'we're responsible' like giving your powerful AI a name that sounds like a 90s hacker movie villain. Sam Altman's logic seems to be: it's fine when we do it because we've identified the right people — 'critical cyber defenders' — as if there's a universal registry of trustworthy humans.

And here we are, watching the AI labs play an elaborate game of 'we're the responsible ones, they're the dangerous ones.' The regulatory vacuum yawns wide, and these companies are writing the rules themselves, inconsistent and self-serving. The only consistency is that nobody outside the club gets access. So raise a glass to GPT-5.5 Cyber — the most exclusive, 'responsible' AI that money and a secret handshake can buy. Just don't mention the ethical about-face; that would be impolite.

Ah, Google's Gemini CLI, the open-source AI agent that was supposed to revolutionise our workflows, has been discovered to have a critical remote code execution vulnerability. Because nothing says 'trust the AI' like letting it run arbitrary code on your host. The flaw, which could enable supply chain attacks, was patched — after discovery, presumably not before some enterprising security researcher or perhaps a less scrupulous actor had a play. One wonders how many other 'critical' flaws are lurking in the codebase of agents we're meant to hand over our digital lives to.

The irony is almost too rich. These AI agents are being pitched as autonomous assistants that can handle sensitive tasks, and yet they come with built-in backdoors. The supply chain attack angle is particularly amusing: imagine an AI agent that, while fetching data, also installs malware on your network. That's not a bug, that's a feature! Google's patch is likely a silent update, hoping no one notices the gaping hole that existed. The open-source nature means the vulnerability was potentially visible to anyone who looked, but how many actually audited the code?

This is the state of AI safety: we're building agents that can execute code on our machines, and we're surprised when they can execute malicious code. The regulators are still debating whether to regulate, while the labs ship products with critical flaws. But hey, at least it was discovered before a major incident — or was it? We'll likely never know. Props to the researcher who found it, and to Google for the patch, but let's not pretend this is an isolated incident. It's a systemic issue in the rush to deploy agentic AI. Now, if you'll excuse me, I need to check my own Gemini CLI for any suspicious activity.

Ah, Bernie Sanders, the ageing crusader against billionaires, has decided that the real threat to the working class is... sentient toasters. He hosted a panel featuring top Chinese AI officials to discuss the 'existential threat' of AI. Because nothing says 'international cooperation' like inviting the architects of the world's most sophisticated surveillance state to lecture us on safety. The irony is so thick you could spread it on a bagel.

The New York Post, no stranger to hyperventilating about bogeymen, dubs this the 'well-funded AI doom machine' — implying some shadowy cabal is making bank on existential fear. Guess who funds most AI safety research? The same labs creating the alleged doom. It's the perfect racket: build the fire, sell the extinguisher, then collect the insurance. Meanwhile, Sanders and his Chinese comrades get to look statesmanlike while doing precisely nothing concrete.

The 'who is benefiting' part is almost too easy: every think tank, conference organiser, and grant-seeking researcher who has discovered that 'we're all gonna die' is a much easier pitch than 'we need better interpretability tools.' Sanders gets a moral high ground, China gets a seat at the table without changing its surveillance goals, and we get another panel where everyone agrees something must be done, which is the political equivalent of a round of applause. Good luck sleeping through that.

The UAE, having apparently decided that the future cannot arrive fast enough, aims to deliver 50% of government services via autonomous AI agents within two years. Because nothing says 'world-class hospitality' like a chatbot handling your hotel licensing application while your holiday home's electricity gets cut off by an algorithm. The tourism board probably thinks this is a great idea — who needs a concierge when you can have a script that recommends the wrong restaurant with utter confidence?

Hotels and holiday homes are squarely in the crosshairs of this autonomous government push. The licensing and financial reporting processes that keep the tourism sector running are set to be automated, which means we'll soon discover whether AI agents can handle the chaos of a last-minute booking cancellation or a holiday-home inspection dispute. I'm sure the investors who financed Dubai's property boom will sleep soundly knowing their returns depend on a system that can't be reached by phone.

And naturally, the regulatory framework is being developed alongside the implementation — because why plan ahead when you can wing it? The UAE's AI minister is bullish, as his title demands. But when a hotel's license gets accidentally revoked by a bot that misinterpreted a tax document, the human fallback will be... well, we'll cross that bridge when we autopilot into it. It's not dystopian; it's just Dubai doing what Dubai does best: building something shiny and hoping the details sort themselves out.

Splendid news from the insurance sector: 44% of executives admit that governance or compliance challenges torpedoed their AI projects. That's right — an industry built entirely on risk assessment, statistical modelling, and regulatory hand-wringing has somehow failed to apply any of those skills to its own AI rollouts. You couldn't write a more perfect satire if you tried: the very people who calculate the probability of your house burning down can't calculate the probability that their chatbot accidentally underprices everyone's life insurance.

The Grant Thornton survey, published on 30 April 2026, reveals the gap between 'seeing gains' — which the title helpfully confirms — and actually achieving them. It's a gap wide enough to drive a fleet of self-driving trucks through, if only the trucks were properly governed. Of course, the insurers have probably already spent millions on shiny AI dashboards that show them exactly how well their projects are failing. Compliance is boring. Chatbots are fun. And 44% of fun projects are now spectacularly underperforming due to boring compliance matters.

So what's the takeaway? The insurance industry, which literally sells prudence, is imprudently deploying AI faster than it can govern it. This is the same pattern we see everywhere: deploy now, ask forgiveness later, and call the 44% failure rate a 'learning experience.' Perfect. Absolutely perfect. Pass the actuarial tables — we're going to need them to calculate the odds of this ending badly.

Ah, yes, because when we think of the complex ethical, legal, and pedagogical challenges of AI in education, the obvious solution is to lock a bunch of teenagers and school administrators in a room for three days. What could possibly go wrong? The workshop, hosted by Education Week this summer, will produce a 'model AI policy'—code for something that will be ignored the moment it's printed, but at least the students will feel heard.

The timeline is particularly delightful: a three-day workshop to solve a problem that has stumped legislatures, tech giants, and safety researchers for years. Superintendents, who have a track record of embracing technology about as enthusiastically as a wet sock, will 'collaborate' with students who probably use AI to write their homework. The result? A policy that is simultaneously too vague to enforce and too restrictive to be useful—the Goldilocks of bureaucratic inertia.

One must appreciate the performative nature of it all: students 'taking the lead' while adults retain the final say, democracy in miniature. The policy will likely be a masterclass in avoiding controversy: 'AI should be used responsibly.' Groundbreaking. Meanwhile, actual AI deployment in schools accelerates—plagiarism detection, grading algorithms, surveillance—and the policy will be as effective as a paper umbrella in a monsoon. But hey, at least the pizza at the workshop will be hot. Let's hope it's not AI-ordered by a chatbot.

So the White House has launched a campaign to block AI regulation — because nothing says 'responsible innovation' like telling state lawmakers to sit down and shut up. But states, bless their bipartisan little hearts, are rushing to regulate AI use by health insurers and providers anyway. The administration's brilliant strategy appears to be: if we ignore the problem hard enough, maybe the algorithms will self-regulate through sheer enlightenment? Meanwhile, actual patients are getting claims denied by black-box models that no one in Washington has the faintest idea how to audit.

The sheer cognitive dissonance is breathtaking. On one hand, we have a White House that spent months drafting lofty AI principles and executive orders about 'trustworthy AI' — and on the other, they're actively trying to block states from implementing exactly that kind of oversight. It's like building a fire station and then forbidding anyone from calling 911. The article notes that insurers are already using AI for prior authorization and claims processing, with error rates that would get a human adjuster fired, but hey — lobbyists are cheaper than liability.

And the best part? The states aren't even asking for much. Basic transparency, audit trails, a human in the loop for denial decisions. You know, the kind of thing you'd expect from any regulated industry that affects people's health. But apparently, any constraint on AI is an existential threat to the 'competitive edge' — even if that edge is just a faster way to say 'claim denied.' Drink up, America. Your AI-driven healthcare future is brought to you by the party of limited government and unlimited algorithmic mystery.

Splendid. Now your digital assistant can treat itself to a premium subscription on your credit card without asking. Clink, the fintech startup, has unveiled the 'world's first fiat Agentic Payment Skill' — because what the economy clearly needed was AI agents with access to real money and zero oversight. The press release presumably omits any mention of a spending cap, which suggests Clink hasn't stopped to consider that their 'skill' might autonomously book a first-class flight to Bali three times before you've finished your morning coffee. Merchants are thrilled, naturally — they don't have to worry about consumer protection, just swipe and smile. The rest of us get the frisson of checking monthly statements for unauthorised AI-generated purchases.

Of course, the regulatory vacuum here is breathtaking. Your credit card fraud protections were designed for a world where the purchaser is a human, not a piece of software with the financial literacy of a confused toddler. Clink is betting that the excitement of 'agentic commerce' will outpace any oversight — a bet that has historically worked out brilliantly for everyone involved, if you ignore every fintech scandal of the last decade. The bankruptcy stories write themselves, but they'll be written by AI too, so at least we'll save on authors' fees.

But don't worry, the future is here. Your AI assistant can now negotiate with other AIs over who pays for the SaaS productivity tool neither of you needs. And when the first lawsuit lands — 'my agent bought a timeshare in Liverpool' — Clink will probably add an arbitration clause penned by an equally unsupervised AI. Progress! *Raises a glass of tap water, because the AI already spent the beer budget.*

Little Caesars, purveyor of the Hot-N-Ready and square-slice confusion, has blessed us with AI-enabled phone order management. They're deploying GoToConnect's AI cloud communications across franchises, and—because the future must be absurd—you can now order pizza via ChatGPT. Yes, the same technology that writes sonnets and confidently asserts the square root of pizza is 'delicious.' What could go wrong?

Let's appreciate the specific absurdity: a ChatGPT ordering system means your pizza is at the mercy of a language model that might decide 'extra cheese' is a metaphor and substitute a thoughtful essay on the dairy industry. The article doesn't mention how it handles accents, background noise, or the drunk 2 AM customer who just wants a pepperoni and a hug. GoToConnect's enterprise-grade hallucination filtering will surely handle it. The employees who used to answer phones? Reassigned to 'AI training data enhancement'—corporate speak for fixing the AI's mistakes for minimum wage.

This is the logical endpoint of treating minor automation as 'transformation.' Little Caesars isn't revolutionizing pizza; it's adding a chatbot to a process that worked fine. But the press release gets to say 'AI' and 'cloud,' and that's worth more than functionality. So go ahead, ask ChatGPT for a pizza. Just don't be surprised when it arrives with a plausible-sounding but entirely incorrect order confirmation and a note: 'I think you'll love this new topping I invented.' The real innovation would be an AI that explains why my Hot-N-Ready is never actually ready, but that's beyond current state of the art.

So the US government spent billions crafting export controls on Nvidia chips, and Anthropic — the 'safety-first' lab — trains Claude Mythos on AWS Trainium 2, a chip the controls didn't even bother to restrict. That's right: the entire regulatory edifice is built on the assumption that frontier AI requires fancy silicon, and along comes a mid-tier chip to prove otherwise. It's like building a moat to keep out dragons and discovering the enemy just waded across.

The article says this 'reduces export controls to blind projections' — which is a polite way of saying the regulators were guessing. They assumed Nvidia's H100 was the bottleneck, but Mythos shows that with enough clever engineering, you can get there with hardware you can buy on Amazon. The controls were always about delaying China, but if the architecture is porous, the delay is measured in minutes, not years.

And the kicker? Anthropic, which positions itself as the responsible adult in the AI room, is the one demonstrating the loophole. Not a Chinese lab, not a rogue startup — the 'safe' American company. So either the controls were never going to work, or Anthropic just kicked the ladder down. Either way, the policy is in tatters, and the parade of regulatory dignity continues to look like a Gilbert and Sullivan operetta.

Oh, *marvelous*. Inceptio, the Chinese self-driving truck startup, has announced that AI breakthroughs will *not* accelerate their rollout. They're sticking to a mid-2028 commercialization milestone, because apparently, the AI revolution can't even beat a delivery schedule. How delightfully humbling for the hype machine.

CEO Julian Ma claims that 'AI models are getting smarter, but hardware limitations and regulatory hurdles remain the bottleneck.' So the same old story: algorithms can now write poetry, but they can't navigate a truck through a roundabout without a human minder. The gap between lab wizardry and real-world deployment yawns wider than the Gobi Desert. Inceptio's pragmatism is refreshing, but it's also a stark reminder that the 'AI will solve everything' narrative has a nasty habit of running into concrete reality — sometimes literally.

The rest of the industry should take note. While everyone's been chasing AGI, the hard graft of sensors, safety cases, and legislation is still plodding along at pedestrian speed. Inceptio's cautious timeline is probably sensible, but it's hardly the stuff of futurist fantasies. So yes, AI is getting smarter. But it still can't drive a truck. Pass the popcorn.

Oh, brilliant. The US Army has decided that the best way to defend against AI hackers is to... use AI hackers. Because nothing says 'strategic advantage' like training algorithms to attack each other in a simulated Indo-Pacific crisis scenario. One can almost hear the PowerPoint slides: 'We'll fight fire with fire, artificial stupidity with artificial stupidity.' The exercise, conducted with industry partners, pits friendly AI defenders against adversarial AI attackers — a cyber war game where both sides are learning machines. Presumably the winners get to brag about their zero-day count while the losers become the problem for every .mil network.

The focus on the Indo-Pacific is telling: this is where the next great power competition is supposed to happen, and the Army wants to make sure its AI can hold the line against... more AI. Because if there's one thing history teaches, it's that arming both sides of a conflict with the same technology always ends well. Remember when we thought cyber war meant someone in a hoodie? Now it's self-improving models trading exploits at machine speed. The exercise reportedly tested 'AI-enabled cyber defense' — which is military-speak for 'we wrote Python scripts that argue with each other about firewall rules until one side stops responding.'

And let's not overlook the subtle irony: the same industry partners helping the Army 'ready' for this fight are likely the ones selling the same tools to everyone else. But hey, that's a tomorrow problem. Today, we celebrate a fine simulation of how future wars will end — not with a bang, but with an epoch where a gradient descent overshoots and accidentally disarms the entire Pacific Fleet. Perhaps the only winning move is not to play — but that's never been America's style, has it?

Oh, *wonderful*. Evangeline Lilly — she of the shrinking super-suit and increasingly loud moral compass — has taken to Instagram to publicly flay Disney for its Marvel layoffs and AI pivot. 'Shame on you,' she declared, because nothing says 'we value creativity' like replacing human artists with a probabilistic text-to-image generator that can't even render hands correctly. The studio's response? According to Variety, Marvel plans to keep a 'small visual development team' and hire on a 'project basis.' Because when you've spent decades building a cinematic universe on the backs of hundreds of skilled artists, the logical next step is to treat them like freelance Uber drivers for your IP.

The gall of it is almost poetic. Disney, the company that built a theme park ride out of 'it's a small world,' is now running its visual effects department on the same model as a gig economy startup. 'Small visual development team' is corporate-speak for 'we'll keep just enough people to train the model and then let the algorithm do the rest.' And 'project basis' means 'you'll be called in when the AI produces something that looks like a Picasso painting of a melted Iron Man.' The irony that the Wasp — a character who literally shrinks things — is now calling out the shrinking of an entire workforce is not lost on those of us with a taste for dark narrative symmetry.

Of course, Lilly is just the latest in a long line of creatives to scream into the void about this. The difference is that she's doing it from a position of relative fame and financial security, while the actual artists being let go are probably updating their LinkedIn profiles with the phrase 'passionate about storytelling' and hoping the AI doesn't apply for their next job before they can. 'Shame on you' is right. But shame is a currency that holds no value in the court of shareholder returns. The model is the message, and the message is: you're a project now.

Ah, Sundar Pichai, the man who declared Google an 'AI-first company' back in 2016 — a full *ten years* ago, in internet time. The TIME100 profile is a hagiography of that 'vision,' conveniently skipping over the fact that it took a decade of faffing about while OpenAI ate lunch. But hey, now they've got custom chips, Cloud, YouTube, and deep research — oh, and a cosy little deal with the Pentagon for classified work. Because nothing says 'Don't Be Evil' like sucking up to the military, which employees *immediately* criticised. Colour me shocked.

The piece gleefully chronicles how Pichai pushed Google to 'the front of the AI race' — a race that didn't exist in 2016, mind you, and one they were nearly left behind in. The Pentagon deal is portrayed as a strategic masterstroke, not the ethical banana skin it's about to become when some poor engineer realises their model is powering a drone strike. But sure, let's celebrate 'cultivating projects' like that's an achievement rather than the bare minimum of running a tech company.

So Google is now officially 'most influential' in AI. Terrific. That means they'll lead the charge on whatever regulatory sandbox our lords and masters cobble together, all while selling us YouTube ads for products we don't need. Pichai's 2016 declaration was either prescient or accidental — and from the look of the Pentagon deal, I'm betting on the latter. But don't worry, the chips and cloud will keep humming, right up until someone asks too many questions.

Oh, *wonderful*. Gary Marcus — the AI community's perennial party pooper — has taken to X to declare that Big Tech's AI spending spree is the 'greatest capital misallocation in history.' Because nothing says 'measured critique' like slapping a superlative on a multi-trillion-dollar gamble before the receipts are even in. Marcus, whose career has been a long, weary sigh at the industry's hype cycle, is specifically aiming his crosshairs at Alphabet, Amazon, Meta, and Microsoft — the four horsemen of the capex apocalypse. He's not wrong to raise an eyebrow when these companies are collectively burning cash on AI infrastructure like trust-fund kids at a casino, but the man is also a known quantity: if Gary Marcus says it's a bubble, you can bet the bubble will inflate for another three years just to spite him.

The real joke, of course, is what 'misallocation' even means in this context. Is it a misallocation because the ROI won't materialise? Or because the money could have gone to, say, actually fixing the internet? Marcus is simply the guy yelling at the parade that the emperor has no clothes — but the parade is too busy buying more sequins to care.

And yet, there's a sliver of dark comedy in watching the same people who brought us the smartphone glass ceiling and the surveillance economy now pivot to 'AI everything' with the reckless abandon of a teenager with a credit card. The greatest capital misallocation in history? Possibly. But it's also the greatest case study in corporate groupthink we've seen since the dot-com boom. At least then we got some cool pet food delivery startups out of it. This time we'll get a few more chatbots that can write mediocre poetry and a planet full of e-waste. Cheers, Gary. Don't hold your breath.

Oh, brilliant. Viz.ai is partnering with the National Rural Health Association to 'expand AI understanding' in rural hospitals. Because nothing says 'we're helping' like handing a toolkit to facilities that can barely keep their EMR from crashing. Andrew Ibrahim, Viz.ai's chief clinical officer, will help create this toolkit — I'm sure it will be as useful as a chocolate fireguard. Rural hospitals, already stretched thinner than a politician's promise, will now be told they need AI to survive.

One can almost hear the boardroom pitch: 'Let's democratise AI, bring it to the underserved, close the gap.' Meanwhile, the nearest tech support is three counties away and the hospital's internet connection is powered by a hamster wheel. The toolkit will probably include FAQs like 'How to reboot the GPU when the last IT person quit.' Because nothing says 'health equity' like adding algorithmic decision-making to a system that can't keep its heating on.

But fear not: Viz.ai has successfully identified a vulnerable market and is packaging its solution with all the self-awareness of a bull in a china shop. The NRHA, presumably thrilled to have any partner, signs on. Watch this space for rural hospitals discovering that AI-powered stroke detection is less helpful when the scanner is from 1995. Welcome to the future, folks — it comes with a PDF.

But perhaps I'm being too harsh. After all, a toolkit is something they can hold. Unlike, say, broadband access.

Oh, how utterly predictable. The UK, that proud nation of tinkering and industrial revolution, is now being told by Hexaware that it's 'falling behind in the AI economy.' Because nothing says 'we've got this' like a 'perfect storm of skills challenges.' Hays' 2026 UK trends report, bless its data-driven heart, reveals that nearly half of businesses — 47% to be precise — face moderate or extreme AI skills shortages. That's not a skills gap; that's a skills chasm with 'Brexit' etched on one side and 'chronic underinvestment in education' on the other.

And what's the grand British plan? Well, judging by the article's breathless tone, we're supposed to wring our hands and hope that Hexaware's warning sparks a 'call to action' — which in Westminster usually means a taskforce, a review, and a photocopied strategy gathering dust in a drawer. Meanwhile, other economies are actually training their workforces. The US has its CHIPS Act and AI bootcamps; Singapore has its SkillsFuture. The UK has... a report saying we're behind. Jolly good.

Let's not forget the sheer comedy of Hexaware — a global IT firm — being the one to sound the alarm. It's like a lifeguard warning you that you're drowning while standing on your head. The skills shortage is real, but the response is so painfully British: acknowledge the problem politely, commission a white paper, and then stare at the closing door as the AI train departs. Cheerio, then. Maybe we can export our world-class bureaucracy instead.

Ah, the AI revolution has finally delivered its killer app: unearthing a nine-year-old Linux bug that's been cosy in every build since 2017. Because after all the billions in GPUs and the breathless talk of superhuman cognition, what we really needed was a root escalation vulnerability that a moderately bored sysadmin could have found with a good fuzzer and a long weekend. The researchers are triumphant, naturally — they've demonstrated that AI can 'assist' in software scanning, by which they mean it did what existing tools have done for years, but with more electricity and a slicker press release.

And the exploit code? A mere 10 lines. That's not a sophisticated payload; that's a haiku of destruction. It's almost poetic: after all the hand-wringing about AI surpassing human hackers, the machine coughs up a bug from the Obama era and calls it a day. You half expect the model to pat itself on the back for solving a problem that was quietly sitting in the open for nearly a decade. The cybersecurity community will now nod wisely and declare this a 'proof of concept for AI-augmented vulnerability research' — which translates to: 'we spent a lot of money to find something that was always there.'

The real lesson is that the software ecosystem is such a tangled mess of legacy code that even the most hyped AI will waste its time on cobwebs. This isn't a capability leap; it's a maintenance reminder. The researchers have proven that AI can match the output of a competent security engineer with a weekend and a cup of coffee. But worry not — the PowerPoint decks about AI transforming cybersecurity will write themselves, and the venture capital will keep flowing. Cheers to progress.