Google DeepMind's Dream-RSI replays past searches to learn better exploration strategies
Researchers at Google and DeepMind introduced Dream‑RSI, a method that reuses recorded search histories to cheaply test alternative search strategies without rerunning expensive evaluations. In tests with Gemini 3.1 Pro and Gemini 3.7 Flash across code, math, and GPU-kernel tasks, Dream‑RSI reduced attempts and runtime, outperformed a competing system (SimpleTES) on some benchmarks, and matched or improved GPU-task performance while cutting computation; code and details are on GitHub.