⬢github · 1.2K ★ +10 since we first saw it · pushed 10 d ago
zhengkid/Dream-RSI
The offical repo for "Dream-RSI: Recursive Self-Improvement through Evolving Worlds"
Dream-RSI is a research project (paper from Google, DeepMind, UMD, UVA) on recursive self-improvement of AI agents. Its key idea is to use accumulated discovery history as a replay simulator so the agent can improve its own exploration strategy, evaluated across 8 tasks in algorithm engineering, math optimization, and GPU kernel engineering, with results like 1.22x faster downstream runtime.
Why now: It's a freshly released preprint (Sep 2026) from Google/DeepMind researchers that quickly gained ~1200 stars, and it claims progress on recursive self-improvement — a hot and controversial topic in AI research.
Who it is for: AI/ML researchers and engineers studying self-improving agents, automated discovery, and code/kernel optimization.
Stars over our 27 snapshots: 1.2K to 1.2K, since 4 h ago.
Where people talked about it
- ⬢github new repos, most starred 2 min ago
API: https://socialmediatrends-api.osmike.com/v1/repos/zhengkid/Dream-RSI