Import AI 468: 23 RSI ideas; PostTrainBench+; and how trust and transparency interplay with AI racing

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Welcome to Import AI, a newsletter about AI research. Import AI runs on arXiv, cappuccinos, and feedback from readers. If you’d like to support this, please subscribe.Subscribe nowWant to be able to deal with RSI? Here are 23 actionable policy ideas:…IFP serves up some “low-regret” policy recommendations…Policy experts with think tank IFP have published a set of ideas meant to help “policymakers begin addressing the risks of further automating AI R&D”. The recommendations involve 23 specific ideas falling across 7 specific categories. If adopted, these recommendations would also give countries, especially the United States, more moves they can make on the gameboard as powerful systems are developed, ideally giving them the ability to:Accelerate “the diffusion of AI capabilities, by allocating compute and talent towards inference and the development of new AI applications”.Accelerate “R&D to make further AI research automation safer, either by improving model safety directly or by boosting societal resilience”.Seven categories of idea:“Provide transparency into automated AI R&DImprove state capacity to understand and respond to automated AI R&DDevelop a risk management strategy for automated AI R&D that accelerates defensive and commercial AI usesAccelerate the development of AI verification technologyInvest in AI resilienceExtend the US AI lead to give the US more time to manage AI R&D automation risksCreate option value for international cooperation on managing automated AI R&D risks”Why this matters - the fewer options for dealing with RSI we have, the worse the outcomes …

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