Training compute is small vs experiments, so a training pause may barely matter
eli_lifland · x · 2026-09-30
Eli Lifland argues frontier training compute is generally quite low compared to experiment compute, so pausing training without pausing experiments may not matter much on the months-long timescale of training the next model — even if the freed training compute were redirected to safety.
More from AGI Musings
- Verifying all of nixpkgs: 95% of machine code for ~$134M by end of 2027, study models — ctjlewis · 2026-09-30
- X User Likens FTX to EA/Rat Orgs' 'Hiring Your Friends' Problem — EigenGender · 2026-09-30
- kalomaze calls ES/genetic-algorithm training pointless unless backprop is truly intractable — kalomaze · 2026-09-30
- Edge Agent Village V2: hundreds of humans to live with personal AI agents for 3 weeks — sydneymlevine · 2026-09-30
- Peter Diamandis: We're Still Living in the Singularity — PeterDiamandis · 2026-09-30
- Judea Pearl points to Eric Horvitz's remarks on probabilistic reasoning's 42-year-old rise in AI — yudapearl · 2026-09-30