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Every electric vehicle on the road hides a dirty secret inside its motor. The magnets that make it spin depend on rare earth elements — and China controls nearly 90% of the global supply. One research team just used AI to crack that problem wide open. The Supply Chain Everyone Ignores Here’s the uncomfortable math: over 86% of EV motors sold in 2024 used rare earth permanent magnets. Each vehicle packs roughly 1.5 kilograms of neodymium iron boron (NdFeB) — the strongest permanent magnets money can buy. They’re in your phone, your MRI machine, your wind turbine, and increasingly, your car. ...

The people actually building the most powerful AI systems on Earth stood on the same stage in New Delhi this week. What they said should keep you up at night — not because they agree, but because they don’t. At the AI Impact Summit 2026, Sam Altman, Demis Hassabis, Sundar Pichai, and Dario Amodei each laid out their vision for what’s coming. The timelines range from two years to a decade. The disagreement itself is the story. ...

Something shifted this week. Not in the AI labs — in the culture. On Tuesday, the New York Times devoted an entire episode of The Daily to “vibe coding” — building software by describing what you want to an AI agent and letting it handle the actual programming. The same day, the NYT opinion section ran a piece declaring “The A.I. Disruption We’ve Been Waiting for Has Arrived.” When the paper of record runs the same story in two different sections on the same day, that’s not a news cycle. That’s a cultural inflection point. ...

One hundred billion dollars. That’s not a national budget — it’s what a single Indian conglomerate just committed to building AI data centers. Adani Group dropped the bombshell at the India AI Impact Summit 2026 in New Delhi, pledging to expand its data center capacity to 5 GW of hyperscale, AI-ready facilities by 2035. Liquid cooling, renewable energy, the works. If it happens, it would be the world’s largest integrated data center platform. ...

Every week, a new blog post asks: MCP or RAG? RAG or Agents? Agents or MCP? The question is wrong. These aren’t competing technologies. They’re layers — and the teams shipping the most capable AI systems in 2026 are stacking all three. Here’s what each layer actually does and why you probably need more than one. MCP: One Plug to Rule Them All LLMs are brilliant and trapped. They can reason about your calendar but can’t read it. They can plan a database migration but can’t execute it. They need hands — and before MCP, giving them hands was a mess. ...

If you needed proof the AI infrastructure arms race isn’t slowing down, Nvidia and Meta just handed it to you on a silver platter worth tens of billions of dollars. The two companies announced a multiyear, multigenerational partnership that will put millions of Nvidia processors inside Meta’s data centers. Not just GPUs — standalone CPUs, next-gen hardware, networking, and confidential computing for WhatsApp. This isn’t a purchase order. It’s a strategic alignment that reshapes who controls AI’s physical backbone. ...

When the Federal Reserve starts war-gaming artificial intelligence, pay attention. Not because central bankers are known for tech hot takes — but because when the people who control interest rates start modeling AI scenarios, the economic establishment has officially stopped treating this as hype. On February 17, Fed Governor Michael S. Barr stepped in front of the New York Association for Business Economics and delivered what might be the most important AI speech to come out of Washington this year. No vague platitudes about “responsible innovation.” Instead, three distinct futures for how AI reshapes work — and one of them should keep you up at night. ...

If you thought the AI wars were just about who has the best chatbot, think again. Axios dropped a bombshell this weekend: the U.S. Department of Defense is reportedly considering designating Anthropic — maker of Claude, poster child for responsible AI — as a “supply chain risk.” If that designation goes through, every defense contractor in America would have to cut ties with Anthropic entirely. The irony is almost too perfect. The AI company that built its entire brand around safety might get blacklisted by the Pentagon. ...

Remember when “AI-powered” was the magic phrase that made stock prices go up? Those days are over. In the first seven weeks of 2026, enterprise software has experienced what might be its worst bloodbath in history. The iShares Expanded Tech-Software Sector ETF (IGV) has plunged over 23% year-to-date, officially entering bear market territory. Salesforce down 28%. ServiceNow down 30%. Adobe’s market cap has cratered from $350 billion to roughly $107 billion. Figma, which IPO’d to fanfare last summer, has collapsed 85% from its 52-week high. ...

Anthropic just cannibalized its own flagship model — and that’s exactly the point. Claude Sonnet 4.6, released today, delivers near-Opus performance at $3/$15 per million tokens. That’s one-fifth the cost of the model it’s chasing. In benchmark after benchmark, the mid-tier model is breathing down its big brother’s neck. In some cases, it’s already ahead. This isn’t a minor version bump. It’s a price-performance earthquake. Two Models, Twelve Days, One Message Anthropic dropped Opus 4.6 on February 5th with “Agent Teams” — the ability to spin up multiple AI agents that coordinate in parallel. Think less “chatbot” and more “autonomous project team.” A million-token context window. PowerPoint integration. The works. ...