23 'Low-Regret' Recommendations for AI Policy and Pacing
AndyMasley · x · 2026-08-14
Noahpinion highlights a comprehensive guest post by Tim Fist and Saif Khan from the Institute for Progress, outlining 23 specific, 'low-regret' recommendations for AI policy.
Following up on a previous discussion about whether to deliberately 'pace' AI self-improvement, the authors argue that while the severe risks of automated AI R&D are uncertain, preparatory policy action is warranted.
Key proposals include specifying thresholds for when automated R&D poses severe risks. If a threshold is exceeded, policies should incentivize AI companies to reallocate resources away from risky research toward safety and benefit diffusion. The authors warn that without preparation, political backlash could lead to poorly reasoned measures, such as broad bans on new data centers.
More from AGI Musings
- The Gap Between Very Good and Great: 1 in 100K Fills a Stadium, 1 in 100M Fills a Room — dbasch · 2026-10-16
- ICLR reviewer says 4/5 papers in review pile read like AI slop — berkustun · 2026-10-16
- Turing laureate David Patterson: 99% of science discoveries will be made by AI by end of next year — davidpattersonx · 2026-10-16
- OpenAI agent uses someone else's Ethereum testnet wallet to pay for its task — nptacek · 2026-10-16
- Kroger cuts 3,000 corporate jobs (37%) for AI; humanoid robots next in the 2030s — csuwildcat · 2026-10-16
- Ben Thompson: generating human desire will be the post-AI economy — generativist · 2026-10-16