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Morning Edition · Tuesday, September 29, 2026Published at 2:12 AM EDT · New York
Google's Dream-RSI Improves Agent Search Strategy Without Touching Model Weights
Replaying past discovery trees as offline simulators cut agent calls by up to 162 times against a search baseline on one task, the authors report.
Google, Google DeepMind and university collaborators published Dream-RSI, a layer that sits above agents that solve problems by generating candidate code, scoring it with an evaluator, and refining the best results. The system leaves the ge…
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