When will AI systems be able to carry out long projects independently? In new research, we find a kind of “Moore’s Law for AI agents”: the length of tasks that AIs can do is doubling about every 7 months.

It is sad to see OpenAI's mission being reinterpreted to mean "proliferate OpenAI's products among non-profits". This is not the mission articulated in the OpenAI Charter, which it championed for years internally. It is the least onerous alternative that still says "non-profit".

Today, myself and 11 other former OpenAI employees filed an amicus brief in the Musk v Altman case. We worked at OpenAI; we know the promises it was founded on and we’re worried that in the conversion those promises will be broken. The nonprofit needs to retain control of the

On top of the AISI-wide research agenda yesterday, we have more on the research agenda for the AISI Alignment Team specifically. See Benjamin's thread and full post for details; here I'll focus on why we should not give up on directly solving alignment, even though it is hard. 🧵

A cute question about inner product sketching came up in our research; any leads would be appreciated! 🙂 cstheory.stackexchange.com/questions/5539…

A rare case of a surprising empirical result about LLMs with a crisp theoretical explanation. Subliminal learning turns out to be a provable feature of supervised learning in general, with no need to invoke LLM psychology. (Explained in Section 6.)