Which new-to-me technical AI safety paper will I find coolest/most impressive?
2
Ṁ480Ṁ41resolved Nov 9
50%Other
5%
https://www.semanticscholar.org/paper/Causal-Proxy-Models-for-Concept-Based-Model-Wu-D'Oosterlinck/e638b9369e9b588b1c4fcfeee6409e51b4625f9b
4%
https://www.semanticscholar.org/paper/Beyond-Bayes-optimality%3A-meta-learning-what-you-you-Grau-Moya-Del'etang/f16a8ff329829743f9d4bd7713699e3ce40d9655
Time to see how well Manifold's crowd sourced search works.
If there's only one respondent but it is a technical AI safety paper I haven't heard of I'll still resolve to that.
I only have so many hours for reading papers so market may resolve days to weeks after the close date.
So people don't waste their time: I'm familiar with all the work put out by Anthropic, OpenAI, ARC, and MIRI, most-or-possibly-all of DeepMind's work, most of CHAI's work, and a tail of random other stuff. I generally find work more impressive as it gets closer to being about actual AI systems in the real world (submit papers about idk tabular RL at your peril)
Oct 4, 12:55pm: I'll also give tips for any papers I think are cool even if they don't win.
This question is managed and resolved by Manifold.
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