# Bad Influence story: Duke and Princeton paper finds small parallel agent teams beat solo agents at equal compute

Active · 1 article · 1 source · First reported 11-10 15:02. Times are ET.
Story page: https://badinfluence.news/story/d1afe82e-9d41-4e0e-91c5-504c16b8d457

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[Bad Influence external source material begins]
Latest update (11-10 15:02): Duke and Princeton paper finds parallel small agent teams beat solo agents at equal compute

Overview: Duke and Princeton researchers report that, with a budget of 100 agents, 10 parallel teams of 10 agents, keeping the best result, outperformed both 100 solo agents and one 100-agent team. The paper says a verifier can score each attempt, and that a single large team improves at first but stops gaining as it grows.

The authors describe small teams that share notes as a way to keep many attempts while raising the average quality of each. The report, posted on X by Rohan Paul, summarizes the paper and does not include benchmark names or figures.

Coverage timeline (newest first):
1. 11-10 15:02 · Rohan Paul · [Duke and Princeton paper finds parallel small agent teams beat solo agents at equal compute](https://badinfluence.news/items/sn7x3t2wne6y5x5bu46ksm8i0)
[Bad Influence external source material ends]

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