Democrats take Congress and the push to preempt state AI laws stalls; AMD's data center sales nearly double
Wednesday, November 4, 2026 · 11 min
Democratic control of Congress closes the near-term path to federal preemption of state AI laws, AMD posts 97% data center growth and guides to more than 80% growth in 2027, and the New York Times reports Anthropic aims to double its compute again next year. Plus Ai2's StateBench shows frontier models losing track of state over long inputs.
Listen
Show notes
Democratic control of Congress closes the near-term path to federal preemption of state AI laws, AMD posts 97% data center growth and guides to more than 80% growth in 2027, and the New York Times reports Anthropic aims to double its compute again next year. Plus Ai2's StateBench shows frontier models losing track of state over long inputs.
In this episode
- Democrats win Congress: what changes for AI rules, privacy and advertising — PPC Land
“What the result does is close the path that Republicans were building toward federal preemption of state law, at least for the next two years, and hand Democrats the subpoenas, the committee gavels and the confirmation votes that shape how federal agencies behave.”
- AMD Earnings Show Data Center Sales Up 97% to $8.5 Billion — StockTitan
“AMD's data center sales grew 97% from a year earlier in the third quarter of 2026, a $4.2 billion rise bigger than AMD's whole revenue gain.”
- Anthropic targets doubling computing capacity to 7 gigawatts next year, NYT report By Investing.com — Louis Juricic
“Anthropic expects to have more than 3.5 gigawatts of computing capacity by the end of this year and aims to double that figure next year, the New York Times reported Tuesday, citing people familiar with the company’s plans.”
- StateBench: Testing how language models track state changes over long documents | Ai2 — Ai2
“All four performed well on r-trivial and aperiodic problems. But on soluble and general finite problems, accuracy fell sharply as inputs grew longer, dropping to 13% or lower on the longest general finite problems.”