MIT and Sakana AI introduce SIFT, reducing verification costs for self-improving agents
Original article in KoreanMIT·사카나, 자가 진화 AI 에이전트 'SIFT' 발표...'검증 비용 병목' 해결
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- AI Times
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Summary
MIT and Sakana AI introduced SIFT, a framework enabling coding agents to refine their own instructions, tools, and code to find better versions. The method substantially reduces the evaluation bottleneck that previously made agent self-improvement impractical at scale.