Public evidence record
Published podcast speaker
Claim ledger
4 transcript-backed records
01 / evaluation
“Physics and math are much more on the side of being very far on the deep, hard-to-come-up-with-ideas side, whereas I think ML and most other domains are much more amenable to hill climbing.”
02 / evaluation
“I’m a little skeptical personally, and I don’t think this has been empirically validated. So in some sense they’re making a trade-off where, because we don’t have very good alignment technology, we are going to make an aligned mind with its own values and then gamble on that to some extent, rather than doing this other approach of making a tool that pursues individual user intention.”
03 / evaluation
“My sense is that the reason why RL environments today are much better than they were in 2024 is not so much because we have hired way more human experts to make RL environments.”
04 / evaluation
“One reason why the AIs have been scaled up less than you would have otherwise expected — and, for example, cost per token hasn’t increased as much as you might have thought — is because there is a benefit to doing more of your work at small scale, where you can run more training runs and get more cycles in.”