The News,
Decoded.

Satya Nadella has chosen the word 'exploit' with all the care of a PR consultant told to 'be honest for once'. On Wednesday, the Microsoft CEO announced he's ready to 'exploit' royalty-free access to OpenAI's most advanced AI through 2032 as part of a revised partnership. Because nothing says 'collaboration' like a tech giant gleefully admitting it plans to squeeze every drop of value from its golden goose.

The word 'exploit' is a masterstroke of accidental honesty — normally you'd hear 'leverage', 'synergise', or 'unlock value'. Nadella cut the crap. Microsoft gets to run OpenAI's brains without paying a dime for inference until 2032, while OpenAI presumably gets… what, exactly? The warm glow of being useful? That 'revised partnership' sounds a lot like 'we've negotiated better terms because you're dependent on our compute'.

Meanwhile, the rest of the AI world watches as Microsoft secures a near-decade monopoly on frontier model access. It's almost endearing how transparent the power dynamic has become. Nadella didn't say 'partner', 'collaborate', or even 'leverage' — he said 'exploit'. And he smiled. That's the state of AI ethics in 2026: the biggest player openly admits the game, and we're supposed to applaud the candour.

Ah, another 'turning point' — because we hadn't had one in at least a fortnight. The Harvard Business Review Analytics survey, dutifully lapped up by the Washington Post, reveals that businesses are using AI to improve efficiency in back-office operations, not for revenue growth. So after billions in venture capital, breathless AGI prophecies, and enough compute to heat a small nation, we've arrived at the glorious conclusion that AI is this generation's spreadsheet. A 'turning point' indeed — towards the thrilling horizon of slightly cheaper accounts payable.

What the survey won't tell you (but the Post is happy to package as progress) is that 'efficiency' is corporate code for 'fewer humans'. Back-office automation isn't about unlocking new value; it's about doing the same work with fewer warm bodies. The respondents — presumably those still employed — have collectively decided that AI's greatest gift is trimming headcount in payroll and procurement. Revenue growth? Too risky. Let's shrink our way to profitability.

The Washington Post calls this a 'turning point'. More like a gentle pivot into a cul-de-sac. The AI economy, we're told, is maturing: it's now a cost-centre tool, not a growth engine. But sure, if the peak of AI ambition is optimising the supply chain of a mid-tier logistics firm, raise a glass. Just don't expect it to be your job on the line.

Ah, another glorious chapter in the ongoing saga of American governance: the GOP-led Florida House has decided that an AI Bill of Rights is simply too much paperwork for a special session. Gov. DeSantis, presumably furious that his tech-friendly vision isn't being rubber-stamped, now has to watch his Senate pass the bill while the House does its best impression of a brick wall. The medical freedom bills also got the boot, because nothing says 'personal liberty' like refusing to regulate the algorithms that'll decide your insurance rates.

The irony is almost too rich: a party that preaches states' rights and innovation has just demonstrated that 'states' rights' means 'the right of state legislators to do absolutely nothing.' While California and Colorado race to implement AI safeguards, Florida's House has decided that the best regulation is no regulation—unless you count the kind that lets Facebook track your every move. DeSantis, who loves to brand himself as a tech-forward governor, now has the legislative equivalent of a stuck accelerator.

So what's the worst that could happen? Oh, nothing dramatic—just that Florida becomes a testbed for unregulated AI deployment, where healthcare algorithms deny claims without oversight and 'medical freedom' means you can choose which black box decides your fate. The Senate tried, but the House said no. Perhaps they're saving the AI Bill of Rights for a future session, right after they finish debating the shape of the new license plates. Cheers to progress.

Ah, the United States of America, where you can drive across a state line and suddenly your AI-powered diagnosis might be illegal. Rad AI CIO Demetri Giannikopoulos has warned that the current patchwork of state-level AI regulations could create 'interstate healthcare problems' — because nothing says 'first-world healthcare system' like needing a regulatory passport to get your algorithm-approved treatment.

The article doesn't specify which states are causing trouble, but given that we can't even agree on a national speed limit, the idea of 50 different AI healthcare regimes is either a libertarian's dream or a patient's nightmare. Giannikopoulos notes that regulations 'must be aligned' — a plea that will surely be heard by the same legislators who brought us the budget impasse. Meanwhile, AI models trained on California's diverse data will be deployed in Alabama, and nobody knows what happens when the algorithm meets a population it wasn't designed for. Spoiler: it's not good.

The real kicker? This isn't a hypothetical — it's happening now. As AI tools become more common in radiology and diagnostics, the risk of a patient harmed by a model that worked in one state but wasn't validated in another grows daily. But hey, at least the state-level bureaucrats are getting job security out of this. Every new AI regulation creates a cottage industry of compliance consultants, while patients just hope their zip code doesn't code them out of adequate care. Cheers to federalism.

Another month, another headline declaring AI will replace us all. Yet here in India, the MEI sector—Manufacturing, Engineering, Infrastructure—has posted a net employment gain of 6.6% for HY1 FY2026-27, up from 5.5% last year. That's right: while Silicon Valley types preach automation, actual humans are being hired to build things. Groundbreaking.

The 6.6% figure is modest, but it's a 1.1 percentage point increase from the prior period—a stat that would make any HR director blush with excitement. One wonders if the AI doomsayers have considered that the economy still runs on nuts and bolts, not LLMs. Hiring intent is rising too, which means more people will be doing jobs that involve real-world stuff, not just prompting. The sector is called 'Manufacturing, Engineering and Infrastructure'—the very things that make modern life possible, and apparently still require actual humans.

So when the next tech bro tells you that AI is coming for your job, just point to the MEI sector numbers. But don't get too comfortable—the robots are probably eyeing those construction sites too, once they get dexterity. Enjoy the hiring spree while it lasts.

Ah, GitHub. The platform that hosts half the world's code, including the very models that might one day automate us into irrelevance, has patched a critical vulnerability that let anyone execute arbitrary code via a simple git push. Because what could possibly go wrong with a feature that turns 'git push' into 'git pwn'? According to Wiz researchers—who presumably do not share my ennui—the bug was reported on March 4, and GitHub quietly applied a patch. Quietly. Like a librarian correcting a typo in a book that could glass the planet.

This wasn't some arcane exploit requiring nation-state resources. It was a 'git push' remote code execution. You push a repo, and the server runs your code. No approval needed. No two-factor. No cap. Imagine the possibilities: a poisoned pull request that doesn't just break your build but takes over the entire CI/CD pipeline. That's not a bug; that's a backdoor with a bow on it. The kind of thing a disgruntled intern could pull off—if interns still existed, which they don't, because they've been replaced by an LLM that can't even write secure git hooks.

But here's the real kicker: GitHub is the de facto infrastructure for AI development. Every PyTorch release, every Hugging Face checkpoint, every paper's code—all pushed through the very same 'git push' that could have been weaponised. The patch may have arrived before a known exploit, but the vulnerability's existence is a reminder that the entire stack is held together by assumptions. One overlooked input validation, and the whole house of cards—no, the whole data centre—comes down. So yes, by all means, keep pushing. Git push. Git push to the future. Just don't be surprised when the future pushes back.

Ah, Ineffable Intelligence. A name so pompous you can almost smell the smugness from five miles away. This London-based startup, founded a whole five months ago by ex-DeepMind bod David Silver, has somehow convinced investors to part with $1.1 billion at a valuation of $5.1 billion. That's a seed round larger than most countries' GDPs, for a company that, as far as anyone can tell, has yet to produce a single product. The sheer chutzpah is almost admirable — almost.

Let's pause to appreciate the arithmetic: a $5.1 billion valuation for something launched just 150-odd days ago. For context, that's more than the annual budget of many small nations, and certainly more than most AI startups will ever see. But hey, the name implies it's 'ineffable,' so perhaps we mere mortals simply cannot comprehend the genius. Or maybe it's just another case of VCs throwing money at anything with a DeepMind pedigree, hoping to catch lightning in a bottle before the bubble pops.

The tragedy is that this isn't an anomaly — it's the new normal. Every week brings another eye-watering funding round for an AI lab with a grand mission and zero revenue. The gallows humour writes itself: we're funding these companies to build AGI, but we can't even fund a decent public transport system. At this rate, the singularity will arrive before we've figured out how to pay for it, and Ineffable Intelligence will be remembered as the startup that cost more than Brexit.

Ah, the Elon Musk v OpenAI trial trundles on, and The Guardian has kindly condensed it all down to ‘personal pettiness.’ Because when you have two billionaires bickering about who really wanted to save humanity from Skynet, ‘petty’ is the polite word. Musk testified that he founded OpenAI to prevent a ‘Terminator outcome’ — a claim so absurdly on-brand that we already skewered it. Meanwhile, Zuckerberg casually announced Meta will spend $115bn to $135bn on AI infrastructure — nearly double last year — which is roughly the GDP of a small country, all to build… what, exactly? Better chatbots?

The trial itself is a masterclass in Silicon Valley narcissism: Musk suing Altman for betraying OpenAI's nonprofit mission, while Altman counters that Musk wanted control or a merger with Tesla. The courtroom is treated to texts, emails, and boardroom drama that would be dismissed as a soap opera if real money weren't at stake. And all this while actual AI systems are being deployed with no governance, no accountability, and the safety people are leaving in droves. But sure, let's litigate whether Musk said ‘open source’ or ‘profit-maximizing’ in 2015.

The pièce de résistance? The trial is expected to run until late May, giving us weeks more of this delightful spectacle. The irony is so thick you could bottle it and sell it as AI coolant. Enjoy the show — it's the only oversight we're going to get.

So Elon Musk testified that he founded OpenAI to prevent a 'Terminator outcome' — because nothing says 'safeguarding humanity' like a man who literally named his company after a sci-fi apocalypse. The circus we flagged last week continues, but now with more existential dread per court filing. Musk, the man who once tweeted 'pedo guy' at a British diver, is playing the role of humanity's saviour against the very organisation he co-founded. The irony is so thick you could build a skyscraper with it.

Meanwhile, Sam Altman sat in the same courtroom, presumably practising his 'benevolent overlord' smile. But let's be honest: the real mission was never about preventing a Terminator outcome — it was about preventing anyone else from getting there first. Musk's own track record with AI, from Tesla's Autopilot fatalities to Neuralink's early trial failures, suggests his concern for safety is about as consistent as his stance on free speech.

And so the legal theatre drags on, with witnesses like Ilya Sutskever and Satya Nadella waiting in the wings. The outcome? Probably a settlement that makes everyone rich and solves nothing. But at least we get to watch two billionaires argue over who loves humanity more. Pass the popcorn — and maybe a stiff drink.

Oh, wonderful. Google has reportedly signed a deal allowing the US Department of Defense to use its AI models for classified work, despite an open letter from more than 600 employees urging the company to refuse. Because nothing says "responsible AI" like ignoring the people who actually build the technology. The company's leadership, presumably, decided that lucrative defence contracts trump internal ethics committees. We've seen this movie before — the shame we documented last week now has a sequel.

The 600 signatories of that open letter represent a tiny fraction of Google's workforce, but they're the ones with the audacity to think their principles matter. Google's response? They reportedly signed the classified deal anyway, with all the moral deliberation of a slot machine. This isn't Project Maven redux — it's worse. The "classified" nature means no external oversight, no transparency, no way to know if Google's vaunted AI Principles are worth the paper they're printed on. The Pentagon doesn't ask for permission; it asks for access.

What's truly grim is the predictability. Employee pushback gets a sympathetic press cycle, then gets buried under signed contracts. Google's AI ethics board is a museum piece. The 600 employees might as well have written their concerns on a Post-it note in a hurricane. This is the system working exactly as intended: profits nationalised, ethics privatised. Another day, another classified deal. At least the quarterly earnings call will have something positive to crow about.

Ah, the circus continues — and it's booked through May. Elon Musk and Sam Altman are back in court, this time with a witness list that reads like a Silicon Valley Hall of Fame: Musk, Altman, Brockman, Nadella, and Ilya Sutskever, the chief scientist who left the stage mid-drama. The trial we flagged last week is now set to drag on until late May, giving everyone ample time to rehearse their lines about 'nonprofit mission' and 'for-profit betrayal.' Because nothing says 'altruistic AI' like a billion-dollar legal slugfest featuring the world's richest man, a CEO who fired him via tweet, and the entire Microsoft C-suite.

The core question — did OpenAI betray its charter when it created a for-profit arm? — is almost beside the point. The real entertainment is watching two billionaires use the courts to settle what is basically a very expensive grudge match. Musk's opening statement apparently invoked the original nonprofit mission, which is rich coming from a man who wanted to run Tesla on OpenAI's technology before the split. And Altman, the boyish optimist, will likely argue that 'we're still mission-aligned, just richer.'

The only honest voice in the room might be Ilya Sutskever, the former chief scientist who led the board coup against Altman before flipping back. His testimony could be a masterclass in whiplash. But don't hold your breath for any real reckoning. This trial won't reshape AI's future — it'll just give the lawyers a nice summer home in Delaware. The rest of us can watch from the cheap seats, popcorn in hand, as the prophets of progress explain why their version of 'safety' involves a courtroom brawl.

Ah, Parag Agrawal, the man who steered Twitter into the iceberg, is back with a fresh $100 million to build 'web search for AI agents.' Because if there's one thing we learned from his tenure, it's that he knows how to make things work smoothly. The startup, Parallel Web Systems, is now valued at $2 billion — roughly the same amount of value Twitter shed in the months before Musk took over. Investors are betting that Agrawal's vision of an AI web search will be better than... well, the existing web search that already works fine for humans.

The pitch: AI agents need their own search engine because the current internet is too messy. Yes, the solution to AI's hallucination problem is to give it a worse version of Google. What could go wrong? Meanwhile, the $100 million will go towards 'continuing to build' — which is tech-speak for hiring engineers and buying server space before the next hype cycle makes this look quaint. One can almost hear the collective eye-roll from every search engineer who's spent decades optimizing for human queries.

But let's not be too harsh. Maybe Agrawal has learned from his Twitter days and will actually deliver something that doesn't implode. Or maybe this is just another case of 'former CEO of struggling company raises absurdly large round for vaguely defined AI product because that's what the market wants right now.' Either way, the valuation is a lovely round number to put on a tombstone when the AI winter comes. Cheers, Parag.

Ah, the Startup Nation has officially stubbed its toe. According to the Aaron Institute's State of Israeli High-Tech 2025 report, R&D jobs in Israel declined for the first time ever in 2025 — by a grand total of 1.1%. A number so modest it would be laughed out of any other country's labour report, but in Israel's narrative-driven tech ecosystem, it's a five-alarm fire. Brain drain fears are now part of the national conversation, because why would you stay in a tiny, expensive, conflict-ridden country when you can move to a San Francisco that doesn't have mandatory military service?

The 1.1% figure is deliciously ironic. For years, Israel's high-tech sector was the shining exception to every economic rule, growing at double-digit rates while the rest of the world stumbled. Now it's down — and the report says it's the first decline ever. That 'ever' is doing a lot of work, because it means the entire history of Israeli high-tech has been one long ascent until now. Cue the hand-wringing about brain drain, as though the brilliant minds haven't been leaving for the last decade. What's new is that the numbers now confirm it.

So what's next? The usual response: tax breaks, government committees, and anguished op-eds in Haaretz. But the decline is tiny — a statistical flicker — yet it's being treated as a portent. Maybe it is. The real question is whether 1.1% becomes 2%, then 5%, then a rout. The Startup Nation brand sells innovation, but if the innovators are leaving, the brand is just a historical curiosity. Another brick in the wall of global AI centralisation, built on the backs of the one-percent.

Oh, brilliant. The National Geospatial Intelligence Agency — the people who roam satellite imagery to spot missile sites — are now worried about their own job security. 'Job loss anxiety' is apparently one of the 'top challenges' in their AI workforce overhaul, alongside the delicate art of 'moving fast safely.' Because nothing says prudent intelligence work like sprinting blindly into an AI arms race while clutching your employee handbook.

The NGA officials claim they're building 'agentic AI within secure boundaries.' Agentic AI — the kind that makes its own decisions — inside a spy agency. What could possibly go wrong? Perhaps the model will autonomously decide that a certain foreign leader's house is a 'high-value target' and alert the Pentagon before anyone's had their morning coffee. But don’t worry: it's 'secure.' So secure that the only thing leaking might be the classified credentials of terrified analysts.

Meanwhile, the agency is trying to keep pace in an 'AI arms race' — presumably against rival spy shops and foreign adversaries — without 'disrupting proven intelligence-gathering methods.' Proven methods like satellite photos and human agents, which apparently are still superior to the shiny new AI that might replace everyone. So the plan is: deploy AI to avoid obsolescence, but slowly enough that staff don’t revolt. A masterclass in institutional inertia sweetened with existential dread.

Oh, marvellous. Gartner surveyed 321 service and support leaders and discovered that 85% are expanding human agent responsibilities. So much for the mass AI layoffs we were promised. The robots were supposed to replace everyone by now, but it turns out humans are still needed — for higher-value tasks, they say. How inconvenient for the doom-mongers.

The survey specifically notes AI reduces contact volume, so the chatbots are handling the simple stuff. But instead of firing everyone, companies are upgrading their human agents to deal with the mess the AI can't handle. This is like hiring a cleaner to tidy up after the robot vacuum — it still does something, just not quite the revolution we were sold.

85% expanding. Either way, the era of mass unemployment keeps receding into the distance, like a particularly elusive mirage. Meanwhile, the headlines keep screaming "AI layoffs!" and Gartner keeps collecting its survey fees. Business as usual.

So Google has signed a deal with the Department of Defense for classified AI work, and a DeepMind researcher is "incredibly ashamed." How noble. How utterly meaningless. The Pentagon gets its black-box algorithms, and the researcher gets to feel bad about it on a Tuesday. We're all very impressed. This echo of the old Project Maven saga — you remember, the one where employees threw a fit and Google pretended to care before eventually not renewing the contract — shows that nothing has changed. Except now it's classified, so we won't even know what horrors the AI is being used for. Maybe it's surveillance. Maybe it's drone targeting. Maybe it's a really advanced system for generating PowerPoint slides about the virtues of defense spending. Who knows? Not the taxpaying public, that's for sure.

The Information report is a beautiful piece of journalism: it tells us that someone somewhere feels bad. Unfortunately, feeling bad doesn't stop the Pentagon from using Google's models to do opaque things in the name of national security. The classified designation means no oversight, no accountability, no way to know if the AI is being used for something that would make even the most hawkish general wince. But the researcher said "ashamed," so that's all sorted, right?

DeepMind's ethics board must be thrilled. They probably have a nice logo and a mission statement about responsible AI. They also have a Pentagon contract. The researcher's shame is the corporate equivalent of a "thoughts and prayers" tweet — it signals awareness while doing precisely nothing. Google will continue to cash checks from the Pentagon, the researcher will continue to feel ashamed, and the rest of us will continue to have absolutely no say in how our tax dollars automate warfare. Cheers. Not a dry eye in the house.

Ah, the circus is in town. Elon Musk and Sam Altman, two billionaires who couldn't agree on the colour of a server rack, are now in court over whether OpenAI betrayed its nonprofit soul. Musk's opening statement apparently argued that the original mission—safe, open AI for humanity—was sold for a mess of for-profit pottage. Altman, meanwhile, counters that without a for-profit arm, OpenAI would have starved or been swallowed by Google. It's like watching two drunk uncles argue over who stole the family silver, except the silver is a technology that might one day decide whether we get a pension or a personalised extinction.

The delicious irony? OpenAI was founded in 2015 as a nonprofit precisely to avoid this kind of corporate self-dealing. Musk, fresh from running Twitter into the ground, is suddenly a crusader for nonprofit purity. Altman, who charmingly compared the for-profit shift to 'growing up,' now has to explain why his board fired him and then rehired him. The whole thing reeks of a Silicon Valley morality play where everyone is the villain.

And what will a win even look like? If Altman wins, it's business as usual, with a few more lawyers on the payroll. The real loser is anyone who thought AI governance could be left to the people who built it. This trial is just the opening act in a farce where the punchline is already clear: when the stakes are this high, mission statements are for museums, not boardrooms.

Ah, OpenAI has released an open-source tool called Symphony, because what the world needs is yet another software layer to manage the software that writes software. It turns a project-management board like Linear into a 'control plane' for coding agents—so now your Jira board can boss around the AI that's already bossing around your junior developers. The company's press release touts that teams can 'manage work instead of supervising coding agents.' Translation: we've automated the automation, so you can spend your day moving tickets from 'In Progress' to 'Review' while the AI does the actual coding—until it hallucinates a dependency and the ticket stays in 'Blocked' for weeks. One imagines the future: a project manager with 15 years of experience now responsible for telling a bot to tell another bot to refactor a function. Symphony is the death knell of human oversight, wrapped in a familiar UI.

The open-source nature ensures that any company—or any state actor with a grudge—can deploy their own agent orchestra. Need a swarm of coding bots to generate targeted phishing scripts? Just create a ticket labelled 'urgent security update' and watch Symphony deliver. The tool is designed to 'manage work instead of supervising agents,' which sounds efficient until the agents decide they'd rather argue about coding standards than actually produce anything. But hey, at least the board metrics will look great.

OpenAI's shiny new toy is a perfect representation of the industry's current trajectory: layering more abstraction on top of abstraction until the original human purpose is lost entirely. We've gone from writing code to writing prompts to managing boards that manage agents. The real question isn't whether Symphony works, but whether anyone will notice when the entire system collapses into an infinite loop of ticket reassignment. Probably not; the project manager will be too busy updating the Gantt chart.

Ah, Florida — where the iguanas freeze, the politics don't, and AI regulation goes to die. Governor Ron DeSantis, fresh from his presidential ambitions, wants to regulate artificial intelligence. But his own party in the state House has once again refused to even file the legislation he requested. Not debated, not voted down — simply ignored, as if the bill were a stray dog on the Capitol steps. It's the same song we heard at the federal level we flagged two weeks ago, where the Senate has spent two years not passing comprehensive AI legislation. The message from both parties is clear: AI regulation is someone else's problem, preferably someone in the next state or the next decade.

One wonders what exactly the Florida GOP fears more: AI, or the appearance of doing something about it. Perhaps they're waiting for the models to write the bills themselves — saves on staffing. Or maybe the logic is that if you don't regulate a technology, it can't harm you, a theory that has worked out so well for Florida's property insurance market. The irony is that Florida is ground zero for AI's potential harms: from deepfakes in politics to algorithmically-driven insurance denials. But no, that would require elected officials to understand the technology, a bar too high for a chamber that recently debated whether 'critical race theory' can be sprayed with sunscreen.

So DeSantis, the governor who built a national brand on cultural warfare, finds himself powerless to regulate a technology that could upend his own state's economy. The legislative blockade isn't about principle — it's about a coalition of tech lobbyists, libertarian think tanks, and lawmakers who still think an API is a type of craft beer. Until the costs of inaction become impossible to ignore — or until a deepfake of a state senator starts voting from the grave — expect more of the same. The Suncoast sets on the future, and Florida's lawmakers are too busy threatening Disney to notice.

Nearly two years since the Bipartisan Senate AI Working Group released its roadmap, and the Senate has yet to consider comprehensive legislation. 'Can't afford to wait,' say groups — a sentiment that would be poignant if the US political class had shown any capacity for urgency on AI since... well, ever. The House Democratic Commission on AI is now being called upon to 'center the impacts of AI on workers,' which is like asking a committee to remember the front-line staff after the robots have already taken their desks.

The Commission, presumably still occupied with the weighty task of deciding which shade of beige the report cover should be, is now expected to pivot to the plight of the worker. Meanwhile, companies deploy AI at a clip that would make a Silicon Valley hype man blush, and the only thing standing between a cashier and obsolescence is some poor junior staffer's PowerPoint about 'stakeholder engagement.' The roadmap was supposed to be a start; it has become a tombstone.

So here we are, nearly two years later, with a Senate that hasn't even read the bill, a Commission that's being asked to care, and workers who — spoiler alert — still can't afford to wait. The gallows humour practically writes itself: the AI revolution will not be legislated, it will be complained about in a subcommittee meeting that no one attends. Cheers to progress, or whatever's left of it.