MASS uses one model as the task solver, the workflow optimizer and the evaluator. In an inner loop the optimizer rewrites a written team workflow (roles, instructions, output "contracts" and call order) while the weights stay fixed.
In the News: October 12, 2026 (Morning)
Sakana AI and UC Berkeley report a model improving its own multi-agent research workflows, and find the optimizer role limits progress more than the judge.
Morning edition
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