Google DeepMind Reports No Measurable AI-Driven Acceleration of AI Research

Google DeepMind has seen no measurable acceleration of AI research driven by AI itself despite substantial automation, according to Google engineer Haydn Belfield. Belfield said AI writes more than 75 percent of Google’s production code, but every change receives human review before submission. Google’s Argon system completes about half of RE-Bench’s 74 machine-learning engineering tasks. Google’s General Capability Index shows steady growth in Gemini’s capabilities without statistically significant acceleration. Those findings contrast with researchers’ warnings of a possible intelligence explosion: the reported automation and capability gains have not translated into measurable acceleration of AI research at Google DeepMind.

Generated by AI from reports · Updated 2 days ago