Multi-agent setups bring no gains unless the model is specifically trained for them
xiaosun86 · x · 2026-10-26
A practitioner's terse take: unless your model has been specifically trained for multi-agent settings, you'll likely see no gains from multi-agent architectures at the same token budget or wall-clock time — and it may even be slower or worse. The observation pushes back on the popular "orchestrate many agents" narrative, suggesting the bottleneck lies in base-model training rather than agent frameworks.
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