Stanford HAI's annual flagship report tracking AI progress across research, the economy, education, policy, and public opinion. The 2025 edition compiles data on model capability, training costs, industry investment, and workforce effects, with downloadable charts and datasets.
Why I recommend it: Free to download from Stanford HAI. It is a self-published report from a university institute; figures are sourced within the report, but some industry-investment and capability numbers rely on data supplied by the companies being measured. Treat headline rankings as the report's own synthesis, not neutral fact.
Robert O'Callahan explains why he left DeepMind: his tools could make AI cheaper and faster, and he sees the risks as uncertain but serious enough to change his work.
Why I recommend it: Free newsletter post. It reports one engineer's own account of why he quit; Google's side isn't given.
