Posts

If you still think the AI race is a three-way sprint between San Francisco, Seattle, and Shenzhen, this week should recalibrate your map. On Tuesday, Cohere’s chief AI officer Joelle Pineau went on X and declared — “unambiguously” — that the Toronto-based foundation model company will “always remain headquartered” in Canada. That sentence wouldn’t normally be news. Except it came twenty-four hours after she pointedly refused to make the same commitment in front of a House of Commons committee, and it landed in the middle of advanced merger talks with Germany’s Aleph Alpha that both Ottawa and Berlin appear to be actively blessing. ...

If you’ve been waiting for the AI hardware story to stop being “Nvidia, Nvidia, and also Nvidia,” circle April 14, 2026. That’s when Meta and Broadcom went public with an expanded partnership to co-design multiple generations of Meta’s MTIA accelerators through 2029, anchored by a 1-gigawatt initial deployment and a path to multiple gigawatts after that. The headline spec: the first AI silicon built on TSMC’s 2nm process. This isn’t a routine vendor press release. It’s the loudest signal yet that the era of hyperscalers handing blank checks to Jensen is ending. ...

Quantum computing has been “almost here” for about two decades. Every year brings another breathless announcement about qubit counts and quantum supremacy. Every year the practical reality stays the same: these machines are fragile, error-prone, and maddeningly difficult to keep running. It’s like owning a Formula 1 car that breaks down every time you turn the key. NVIDIA thinks it found the mechanic. On April 14, 2026, the company launched NVIDIA Ising — the world’s first family of open-source AI models designed to tackle the two biggest bottlenecks in quantum computing: processor calibration and error correction. If the early benchmarks hold up, this could be the most consequential bridge between classical AI and quantum hardware we’ve seen yet. ...

The European Commission just slapped Meta with a regulatory uppercut. On April 15, Brussels formally rejected Meta’s attempt to charge rival AI companies for access to WhatsApp’s 2 billion users — and threatened to force the tech giant to restore free access for competitors like Microsoft’s Copilot, OpenAI, and Perplexity. This isn’t just a legal skirmish. It’s the fight that decides whether you get to choose your AI assistant, or whether the company that owns your messaging app chooses for you. ...

The enterprise world’s favorite new toy and its worst new nightmare are the same thing: agentic AI. OutSystems’ 2026 State of AI Development report just dropped the numbers, and they’re staggering. 96% of organizations are already using AI agents — not experimenting, not piloting, using. And 97% are exploring system-wide agentic strategies that would embed autonomous decision-making into core operations. Here’s the catch: 94% of those same organizations say AI sprawl is increasing complexity, technical debt, and security risk across their enterprises. ...

The Treasury Secretary and the Fed Chair don’t pull bank CEOs into surprise meetings over product launches. They do it over threats. And last week, the threat was an AI model. Anthropic’s Claude Mythos Preview — announced April 7 — can autonomously discover and exploit zero-day vulnerabilities across every major operating system and web browser. Three days later, Treasury Secretary Scott Bessent and Fed Chair Jerome Powell had executives from Citi, Bank of America, Wells Fargo, Goldman Sachs, and Morgan Stanley in a room. ...

Stanford’s Institute for Human-Centered AI just dropped the ninth edition of its AI Index Report — 400+ pages of data on where AI actually stands. Not where the hype says it is. Not where the doomers think it’s headed. Where it measurably is. The short version: AI is more capable, more adopted, and more expensive than ever. It’s also less transparent, more environmentally destructive, and outrunning every guardrail we’ve built. Here are the numbers that matter. ...

When an AI company tells the world it built something too dangerous to release, you’d expect fear. What Anthropic got instead was a bizarre cocktail of government panic, industry skepticism, media frenzy, and — let’s be honest — some of the best PR the AI industry has ever produced. Anthropic’s Claude Mythos Preview isn’t available to you. It’s not available to me. It’s available to roughly 11 organizations — Google, Microsoft, AWS, JPMorganChase, Nvidia, and a handful of others — through something called “Project Glasswing.” The reason? Anthropic claims Mythos can autonomously discover vulnerabilities in virtually any operating system, browser, or software product, then build working exploits. ...

Here’s the uncomfortable truth about enterprise AI in 2026: the technology works. It works really, really well. Just not for you. That’s the takeaway from PwC’s massive new AI Performance Study, which surveyed 1,217 senior executives across 25 sectors. The headline stat is brutal: 74% of all AI-generated economic value is being captured by just 20% of organizations. The other 80%? They’re splitting the scraps. The Canyon Nobody Talks About Winner-take-most dynamics aren’t new in tech. We saw it with cloud, with mobile, with the internet itself. But AI is compressing a decade’s worth of stratification into two or three years. ...

An AI that finds security holes in every major operating system and web browser on Earth — then writes working exploits to hack them. The company that built it looks at what they’ve created and says: “We’re not releasing this.” Anthropic unveiled Claude Mythos Preview this week and immediately announced it would not be publicly available. Instead, through a new initiative called Project Glasswing, Mythos is being shared exclusively with about 45 organizations including Apple, Microsoft, Google, Amazon, Cisco, and the Linux Foundation. The mission: find and fix vulnerabilities before similar capabilities land in less responsible hands. ...