Import AI 468: 23 RSI ideas; PostTrainBench+; and how trust and transparency interplay with AI racing
Import AI covers 23 IFP policy ideas for automated AI R&D risks and MIT/Columbia's game theory of AI racing slowdowns.
Think tank IFP published 23 policy recommendations across seven categories to help policymakers address risks from increasingly automated AI R&D. MIT and Columbia researchers released 'Racing to Ruin,' a game theory model showing that coordinated slowdowns between rival AI firms hinge on trust and transparency. The newsletter also links a short story on interacting with powerful AI systems.
- IFP offers 23 policy ideas across 7 categories for automated AI R&D risks
- Recommendations aim to expand US options as AI R&D automation advances
- 'Racing to Ruin' models duopolist AI competition under disaster hazard
- Trust and transparency determine whether firms can coordinate slowdowns
- Low trust means every equilibrium races to ruin
From the original article
13 min read at importai.substack.com
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By Jack Clark · importai.substack.com
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