Sakana AI proposes collective intelligence model for AI self-improvement

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Researchers from Sakana AI have published a paper proposing a model for AI recursive self-improvement through collective intelligence. The proposal involves multiple AI agents collaborating, critiquing, and refining each other's outputs to enhance overall capabilities. This concept was discussed on the Hacker News platform, where it garnered community attention. The research aims to explore new pathways for advancing artificial intelligence systems without direct human intervention.

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