Stanford's self-organizing agent teams beat best single models

A Stanford and Together AI paper introduces Self-Organizing Agent Teams (SAT), where agents learn reusable teamwork strategies from past collaborations, scoring 66.7% on five benchmarks and beating the best single model and perfect routing by 13.4 points.

2026-09-25 ~ 2026-09-25 · 3 related posts

• Self-organizing agent teams hit 66.7% across five benchmarks, beating their strongest member — Aneesh Pappu · 2026-09-25
• Stanford paper: self-organizing agent teams hit 66.7% vs 48.8% for best single model — rohanpaul_ai · 2026-09-25
• Self-Organizing Agent Teams paper: 15 practice problems, beats perfect router by 13.4 pts — rohanpaul_ai · 2026-09-25