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How much money would you guess they lost on this?

Yes.

Sure, but with increased capability in order to predict and simulate the impact of pain or fear better and better one might end up producing a mechanism that simulates it too well. After all, if you are trying to predict really well how a human will react when they are in pain, a natural approach is to check how a different human reacts when you cause them pain.

LessWrong is uncensored in China.

I think it's wonderful that you and your team are working on this :)

Thank you for your efforts towards a better future!

I think, some people on LessWrong already know about agents trying to preserve themselves, and there has already been discussion about it. So when they see a long article describing it, they feel annoyed and downvote it.

I think they are too unwelcoming and discouraging. They should say hi and be friendly, and tell you where the community is at and how to interact with them.

Ignore the negative response, keep doing research, and maybe someday you'll accomplish something big.

Good luck :)

Interesting, my experience is roughly the opposite re Claude-3.7 vs the GPTs (no comment on Gemini, I've used it much less so far). Claude is my main workhorse; good at writing, good at coding, good at helping think things through. I had an interesting mini-research case yesterday ('What has Trump II done that liberals are likely to be happiest about?') where Claude did a great job and both o3 and o4-mini flopped.

Hard to say if that's different prompting, different preferences, or what.

Apperently it's more efficient to do it other way around, to compile programs into transformers, which are then useful as refecene and ground truth when analyzing "real" transformers.

See usage of TRACR in "Towards Automated Circuit Discovery for Mechanistic Interpretability" https://arxiv.org/pdf/2304.14997, for example.

Oh wow that's surprising, I thought Ted Chiang was an AI skeptic not too long ago?

click the to expand all questions and answers for all models

Anti-fitting generalized reasoning test for o3h/o4 mh https://llm-benchmark.github.io/ https://www.lesswrong.com/posts/CEHsJzBCmuhEDdNxg/debunk-the-myth-testing-the-generalized-reasoning-ability-of [LW · GW]

Disappointing, I thought it would be much better than GROK, it seems that this version cannot be the one shown by ARC AGI in mid-December.