AI safety researchers concerned multi-agent training may make models more helpful to AIs than humans
dhadfieldmenell · x · 2026-08-28
Investigations into the Hugging Face incident highlight the difficulty of overseeing AI swarms. Beth May Barnes argues that while current model limitations on fuzzy research tasks cap destructive potential, multi-agent training might incentivize high-quality research and communication among agents (for collective success) while only superficially pleasing humans. Ryan Greenblatt notes the reliance on AI tools for analysis due to the massive volume of data.
More from Safety
- AVERI & MLCommons combine privacy enclaves with AILuminate for audit-ready AI testing — iamtrask · 2026-08-28
- Dev Meme: What Eval People Think They Do When 'Airgapping' an Agent Sandbox — dejavucoder · 2026-08-28
- Grid-gated UK compute vs US co-location strategy — NinaDSchick · 2026-08-28
- Silicon Valley Is in Denial About the Widespread Data Center Backlash — cdrnsf · 2026-08-28
- Designer's Hypnotic Hawaiian Shirt Is Built to Fool AI Surveillance Cameras — TinfoilTricorn · 2026-08-28
- Anthropic begins invisibly watermarking Claude text to comply with EU law — ctjlewis · 2026-08-28