DeepMind’s 180-agent study says teams win on split tasks, but lose on sequential work

brucemacv · x · 2026-07-23

A thread distilled a Google DeepMind result into concrete agent-design advice:

The researchers tested 180 agent team setups under the same budget.
For work that can be split into independent chunks — research, audits, broad scans — teams performed much better, with one cited result showing 80.9% better than a single agent.
For step-by-step tasks where each action depends on the previous one, every team variant lost to a single agent.
The takeaway: don’t add agents just to add agents. Whether a workflow should use one agent or many depends on the shape of the work, and any merge step needs a clear owner to avoid error amplification.

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