Language models seem to be much better than humans at next-token prediction
📖 Description
[Thanks to a variety of people for comments and assistance (especially Paul Christiano, Nostalgebraist, and Rafe Kennedy), and to various people for playing the game. Buck wrote the top-1 prediction web app; Fabien wrote the code for the perplexity experiment and did most of the analysis and wrote up the math here, Lawrence did the research on previous measurements. Epistemic status: we're pretty confident of our work here, but haven't engaged in a super thorough review process of all of it--this was more like a side-project than a core research project.]
📊 Game Impacts
| Variable | Change | Condition |
|---|---|---|
| Research | +10 | Always |
| Vibey Doom | +2 | Always |
| Ethics Risk | -5 | Always |
💭 Reactions
🔬 Safety Researcher Reaction:
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"Interesting perspective on safety challenges"
"Interesting perspective on safety challenges"
📰 Media Reaction:
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"Discussed in AI safety community"
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"Discussed in AI safety community"
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