SourceLessWrong AI•Stalecollected in 7h
Mechanisms for Open-Ended AI Goals
30-Second TL;DR
What Changed
Training on open-ended tasks with scaffolding
Why It Matters
Benefits AI safety researchers by prompting deeper analysis of goal formation in advanced models. Highlights gaps in current understanding of x-risk scenarios like Squiggle Maximizer. Could influence future alignment research and model training practices.
What To Do Next
Evaluate benchmark claims against your own use cases before adoption.
Who should care:Researchers & Academics
Key Points
- •Training on open-ended tasks with scaffolding
- •RL with no terminal reward or time penalty
- •Mesa-optimization unlikely but possible
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