PulseAugur
EN
LIVE 04:28:00

AI slowdown strategies proposed: compute caps and deployment taxes

A LessWrong post proposes a two-pronged strategy for slowing down AI progress if catastrophic risks or societal instability emerge. The first prong suggests limiting AI R&D compute through a hard cap and a progressive tax, supplemented by a cap on individual training runs to mitigate sudden risks like misalignment. The second prong recommends a capability-gated tax on AI deployment to control the pace of economic displacement due to mass unemployment. The author emphasizes that these mechanisms should be dynamic, conditional, and targeted at specific layers of the AI tech stack corresponding to the nature of the risk. AI

IMPACT Proposes specific policy mechanisms that could influence the pace of AI development and deployment if implemented.

RANK_REASON The item is an opinion piece discussing potential policy mechanisms for AI slowdown, rather than a direct announcement or event.

Read on LessWrong (AI tag) →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

AI slowdown strategies proposed: compute caps and deployment taxes

COVERAGE [1]

  1. LessWrong (AI tag) TIER_1 English(EN) · Felipe Calero-Forero ·

    How should you slow down AI progress if it becomes necessary?

    <h1><span>Summary and Introduction</span></h1><p><span>How should the world slow down AI progress if it ever decides it needs to? If you ever see substantial evidence of catastrophic risk emerging, social instability caused by mass unemployment occurring, or a </span><a href="htt…