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AI Thinks Harder by Arguing with Itself, Boosting Performance

Introducing Chain of Recursive Thoughts to enhance AI response accuracy

From Hacker News Original Article Hacker News Discussion

An AI technique called Chain-of-Recursive-Thoughts (CoRT) improves model answers by making the AI argue with itself repeatedly, generating and evaluating multiple alternatives to pick the best response. This self-critical process significantly enhances smaller models’ performance, especially on programming tasks.

Why it matters: CoRT enables smaller AI models to achieve much higher quality outputs by iteratively refining their answers through self-critique and competition.

The big picture: This approach mimics human-like doubt and reasoning, potentially advancing AI creativity and problem-solving without needing massive model sizes.

Quick takeaway: The method involves multiple rounds where the AI generates alternatives, evaluates them, and dynamically decides how many rounds to think.

Commenters say: Users appreciate the novel, effective self-argument technique, sharing ideas for extensions like multiple agent workflows and praising its potential to boost local, smaller models.