What is Recursive Self-Improvement? How AI is Beginning to Build Better AI
By
Alyona Vert.
Summary
This article explains Recursive Self-Improvement (RSI) in AI — the concept where AI systems participate in their own development by proposing ideas, running experiments, evaluating outcomes, and generating research. It draws parallels to earlier AI research frontiers like reasoning models and reinforcement learning, and highlights real-world steps toward this vision from companies like Anthropic, Recursive, and Sakana AI. The piece explores how AI is beginning to automate coding, experiments, evaluation, and research workflows, marking a shift toward AI that builds and improves AI.
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Key quotes
· 3 pulledAt its core, it is the idea that AI can participate in its own development.
Instead of only helping researchers write code or analyze results, the system becomes part of the research loop itself: proposing ideas, running experiments, evaluating outcomes, generating
Anthropic, Recursive, and Sakana AI show the first real steps toward AI that improves AI
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