MIT and Sakana AI’s SIFT framework cuts the cost of judging self-improving coding agents
Researchers from MIT and Sakana AI published SIFT (Self-Improvement via Fast Tree-search), a framework that uses a large language model as a pairwise referee to cut the cost of evaluating self-improvi…