Google's ScientistTwo autonomously improves 86 of 107 ML problems, 80.4% success rate
rohanpaul_ai · x · 2026-09-20
Google's ScientistTwo paper shows recursive self-improvement in AI research: it improves a human method, then uses its own discovery as the baseline and improves again. Across problems based on ICLR/ICML/NeurIPS papers, it autonomously improved 86 of 107 human-defined ML problems with an 80.4% success rate and 25.2% average relative improvement over human baselines. The loop: propose ideas, test, prune what fails, and restart with reviewer feedback.
Related event: Google's ScientistTwo runs the full research cycle autonomously(3 posts)→
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