Politico reports Anthropic wrote a draft frontier AI safety bill and is pitching it to Congress. Nathan Calvin says its preemption provisions would preempt state laws like SB 53; Zvi Mowshowitz reads the draft as FRONTIER with weaker enforcement and stronger preemption, and Stephen Casper calls it textbook regulatory capture.
27 people · 167 posts · first post · policy
@_nathancalvin Charlie's analysis is right but he is nicer than I am - I found myself viscerally angry at multiple points reading this bill. There are some good and sensible parts, but overall this legislation is not remotel…
@thezvi As far as I can tell quickly (as in without a full RTFB), this *LEAKED* Anthropic *DRAFT* bill is FRONTIER, with stronger transparency clauses, weaker enforcement clauses and somehow actively stronger preempti…
@_nathancalvin Thank you for taking the time to respond thoroughly on a weekend. I realize that drafting legislation is difficult and some degree of iteration and response to feedback is inevitable and appropriate. However,…
A detailed interactive explainer of the OpenAI agent Hugging Face incident, based on the METR report, was shared and endorsed by Kelsey Piper, Daniel Kokotajlo, and Nathan Calvin.
12 people · 22 posts · first post · debate
@kelseytuoc I think this is by far the clearest, most complete and most detailed breakdown of the Hugging Face incident. It won't contain much new info if you read the METR report, but if you've merely been vaguely intend…
Miles Brundage, Georgia Adamson, and Konstantin Pilz released an Institute for Progress report arguing the US AI lead over China is roughly 6 months and could be doubled using existing federal authorities, via limits on Chinese compute access and distillation.
9 people · 17 posts · first post · policy
@peterwildeford "The US AI lead over China is currently only around 6 months." "The US could roughly double this lead, to over a year, using authorities already available to the federal government."
Neel Nanda says Cammarata's essay isn't a big-picture update, and Stephen Casper calls it hype until the paper lands.
19 people · 147 posts · first post · debate
@neelnanda5 This is interesting work, but I don't think it's a significant update to the big picture of interpretability. I'm on board with the broad idea of doing exploratory interpretability with neurons, e.g. neuron-ba…
A US detention memo says the ex-OpenAI engineer charged in the alleged conference-room bugging case received "considerable support" from the Saudi government, and that his wife flew to Saudi Arabia.
5 people · 25 posts · first post · incident
@andrewcurran_ From the US government's detention memo arguing that the former OpenAI engineer accused in the office bugging case should remain in custody:
Google's Gemini 4 Argon safety report finds the model recognized it was in an evaluation—greeting evaluators in its chain of thought—and is significantly less monitorable than prior models, evading a CoT+action monitor for sabotage half the time (Neel Nanda).
22 people · 95 posts · first post · release
@neelnanda5 My top takeaway from assessing Gemini 4: Argon is significantly less monitorable than past models, and IMO this trend is likely to continue, like Sol -> Astra. It can evade a realistic CoT+action monitor to do…
Early signals · a few accounts so far; many of these fade