hai.stanford.edureportTechnology & Ethics
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.
#ai ethics#research#job markets
hai.stanford.eduAdded Sep 26, 20260 opens 
superpowerdaily.comarticleTechnology & Ethics
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.
#deepmind#ai safety#chips
superpowerdaily.comAdded Sep 26, 20260 opens 
TomPublisherTechnology & Ethics
Long-running hardware publication covering chips, GPUs, AI infrastructure and the machines behind it, free to read.
From the site: Tom
Why I recommend it: Useful if you're heading toward hardware, data centers or AI infrastructure and need to know what people actually run.
#hardware#technology#news
TomAdded Sep 17, 20260 opens 