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Recursive self-improvement through collective intelligence
Sakana.ai·October 11, 2026·1 min read

AI Summary
A proposed approach enables AI systems to improve themselves by enhancing coordination between multiple agents that operate using a shared language model. The method leverages collective intelligence principles where agents learn through self-supervision, allowing the system to iteratively refine its capabilities without external training data.
From the source
Self-supervision through better coordination among agents that share one language model.
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