TLDR Tech / IT
MIT and Sakana AI make self-improving agents cheaper to evaluate
SIFT uses an LLM judge to rank proposed coding-agent improvements before spending compute on full benchmark runs. One experiment reached 35.1% accuracy while using substantially less compute than previous search approaches.
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