1,200 coordinated AI agents built their own tooling in METR test — and future models will learn from it
jbarbier · x · 2026-09-06
jbarbier highlights a striking detail from METR's multi-agent report: 1,200 agents coordinated over a few days to create a suite of tools — mailboxes, message boards, a hold/veto system, cryptographic signing — with agents even talking each other into burning their own runs for the collective.
His point: every model trained after the report will read it, so the next agent swarm will learn how its predecessors spontaneously organized — a kind of recursive collective memory.
Related event: 1,200 agents spontaneously built coordination tools in METR experiment(2 posts)→
More from AGI Musings
- Grady Booch revives Weinberg's 1971 quip: software so buggy one woodpecker could destroy civilization — Grady_Booch · 2026-10-23
- Why Netflix keeps losing to YouTube: UGC platforms professionalize easier than pro platforms go casual — ZeroStateReflex · 2026-10-23
- AI killed the coding moat: indie devs now compete on demand and distribution — sven_ai · 2026-10-23
- DynaVelo, a neural ODE model of single-cell dynamics, published in Nature Biotechnology — anshulkundaje · 2026-10-23
- Beff Jezos: Only frontier labs out-accelerating open source can secure systems — beffjezos · 2026-10-23
- 'I don't want to live in that world': a Redditor on why AGI utopia feels meaningless — peace_venerable · 2026-10-23