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Two rival AI labs. Same strategy. Same day. This isn’t a coincidence — it’s a declaration of war on a $700 billion industry. On May 4th, Anthropic announced a $1.5 billion joint venture with Blackstone, Hellman & Friedman, and Goldman Sachs to embed its engineers and Claude directly into enterprise operations. Hours earlier, Bloomberg reported OpenAI is finalizing a nearly identical play: a $10 billion venture called “The Development Company,” backed by TPG, Brookfield, Bain Capital, and 16 other investors. ...

Everyone’s launching AI models. IBM just launched a management layer for all of them. And it might be the smartest move in enterprise AI right now. At Think 2026 in Boston, CEO Arvind Krishna unveiled what IBM calls the “AI Operating Model” — a bet that the real money in enterprise AI isn’t in building the smartest model, but in being the one who keeps a thousand AI agents from crashing into each other. ...

The same administration that revoked Biden’s AI executive order on Day One is now considering something arguably more interventionist: mandatory government review of AI models before they hit the public. If that sounds like whiplash, buckle up. What’s on the Table According to the New York Times, Reuters, and Bloomberg, the White House is discussing an executive order that would create a formal review process for new AI models before release. The NSA, Office of the National Cyber Director, and Director of National Intelligence would oversee evaluations — granting the government early access to frontier models without necessarily blocking their deployment. ...

The math is stark: 8,000 people out, $145 billion in. That’s the deal Mark Zuckerberg laid out at a company town hall last week. No euphemisms about “restructuring for the future.” No corporate doublespeak about “aligning resources.” Just a blunt admission: compute infrastructure and people are Meta’s two major cost centers. With AI hardware costs exploding, something had to give. That something is 10% of Meta’s workforce, starting May 20th. And Zuckerberg wouldn’t rule out more cuts later this year. ...

A 23-year-old with no math degree typed an unsolved conjecture into ChatGPT on a Monday afternoon. Eighty minutes later, he had a valid proof that defeated professional mathematicians for sixty years. Fields Medalist Terence Tao confirmed it. The math world is losing its mind. The Kid Who Didn’t Know It Was Hard Liam Price wasn’t trying to make history. He was “vibe mathing” — his term for feeding random open problems into GPT-5.4 Pro to see what happens. He’d been doing it for months with his friend Kevin Barreto, a Cambridge undergrad, pulling unsolved conjectures from erdosproblems.com like lottery tickets. ...

The Academy of Motion Picture Arts and Sciences just made the kind of statement that sounds absurd until you remember what year it is: only humans can win Oscars. In a sweeping rules update announced May 2nd, the Academy declared that acting performances must be “demonstrably performed by humans with their consent” and screenplays must be “human-authored” to qualify for nomination at the 99th Academy Awards in March 2027. Ninety-nine years of handing out golden statues, and they never had to spell this out before. ...

Everyone’s talking about who builds the best AI model. But the real bottleneck in artificial intelligence right now isn’t software — it’s concrete, copper wire, and electricity. KKR just put $10 billion behind that thesis. Helix Digital Infrastructure: The Pitch The private equity giant launched Helix Digital Infrastructure this week — a standalone company that will design, build, own, and operate the physical backbone AI depends on. Data centers. Power generation. Transmission lines. Cooling systems. The unsexy stuff that makes everything else possible. ...

A single Nvidia B300 server now costs roughly $1 million on China’s grey market. That’s nearly double the US retail price and almost double what it sold for in China just months ago. The cause is a collision of forces: exploding AI demand, a US crackdown on chip smuggling that’s strangling supply, and the growing desperation of Chinese tech companies racing to stay competitive. This isn’t a pricing anomaly. It’s the US-China tech cold war rewriting the economics of artificial intelligence in real time. ...

The U.S. military just took its biggest step toward becoming an “AI-first fighting force.” On May 1st, the Department of Defense announced agreements with eight AI companies — SpaceX, OpenAI, Google, Nvidia, Reflection, Microsoft, AWS, and Oracle — to deploy frontier AI models on the Pentagon’s most sensitive classified networks. But the real headline? The company that’s not on the list: Anthropic. What Actually Happened The agreements give all eight companies access to deploy AI on the Pentagon’s Impact Level 6 and IL7 network environments — the most sensitive classified systems where war plans get made and intelligence gets analyzed. ...

A company founded five years ago by researchers who thought AI safety deserved more attention is now worth more than Switzerland’s GDP. Anthropic is closing a $50 billion funding round at roughly $900 billion. If that lands, the Claude maker officially leapfrogs OpenAI — the very company its founders left behind — to become the most valuable AI startup on Earth. Welcome to 2026, where turning away billion-dollar checks is a flex. ...