ai

OpenAI isn't just missing targets — it's losing its status as the inevitable center of the AI universe. When the exclusivity ends and the burn rate stays, the IPO math stops working.

Elon Musk and Sam Altman are finally hashing it out in an Oakland courtroom, both pretending this is about the soul of humanity instead of a $300 billion valuation.

Tesla's Q1 numbers beat expectations. Then Musk announced $25 billion in capex and confirmed negative free cash flow for the rest of 2026. The beat was a warm-up act.

The Stanford AI Index 2026, published in Nature, found that the best AI agents perform at roughly half the level of PhD-level human scientists on complex tasks. That number deserves more attention than it's getting.

Anthropic built a model that autonomously finds thousands of zero-days in production systems, then launched a private coalition to patch them before releasing it publicly.

Seventy-five thousand AI-generated tracks are uploaded to Deezer every single day. Artists are losing streams, royalties, and identity — and no one's keeping up.

Meta is recording every click to train its AI. The question isn't whether the explanation is technically true — it's whether we've decided this is acceptable.

OpenAI shipped GPT-5.5, bought a talk show, and is heading toward an IPO. At some point you have to ask what exactly this company is now.

DeepSeek released V4 at $3.48 per million output tokens. The frontier of AI is being priced like a commodity — and the American labs have no clean answer.

Across the four major frontier labs, no single model wins everything right now. That's actually the most interesting the AI race has ever been.