Desk
AI in markets, banking, and financial services.
TSMC buying into its own biggest indirect customers is a confidence signal for the AI trade, and another loop in a financing web that is getting harder to read.
After midterm voters pushed back on data-center growth, OpenAI says it will not use NDAs with public officials and will pay full power costs under new community commitments.
Anthropic's Personal Finance connects Claude to banks and cards via Plaid for read-only spending answers — no ads, no Anthropic loan products, and chats in the hub kept out of training.
Hugging Face's Irene Solaiman joins TechCrunch Equity to walk startups through open-model trade-offs — cost and control on one side, value capture, China competition, and security on the other.
A small model trained alongside its own research harness just edged a frontier system on a finance benchmark for a fraction of the price, and the recipe matters more than the scoreboard.
NVIDIA shows scientists can get meaningful speedups on precision-sensitive chemistry simulations without retraining models, as long as they test the physics and not just the benchmark.
Microsoft is offering buyouts to as many as 60,000 people, a softer way to shrink than layoffs, and the teams included say a lot about where the company is placing its bets.
Anthropic is handing critical open-source projects free frontier-model security audits, and the catch is that the reports reach maintainers before any human at Anthropic has checked them.
Meta is building itself a new funding valve for AI, and the design tells us the spending is expected to outrun even its enormous cash machine.
A federal judge gave Apple fast access to OpenAI interview materials on ex-Apple hires—narrowing the fight to how talent, and knowledge, moved ahead of OpenAI hardware.
The Verge frames Argon as Google’s return to the frontier after months behind—competitive claims, paywalled access, and pricing that still undercuts rivals after the intro period.
Anthropic is offering open-source maintainers free scans from its strongest models, including Mythos, with no human review. Faster warnings help, but the burden of sorting truth from noise lands on volunteers.