Ex-Deepmind VP Vinyals says AI self-improvement is coming but won't trigger an intelligence explosion
Ex-DeepMind research VP Oriol Vinyals says recursive self-improvement is coming but slow, and co-founds Discovery Loop with Jeff Dean to automate research.
Oriol Vinyals, former VP of Research at Google DeepMind who worked on AlphaStar, AlphaCode, and Gemini, argued at Agentic AI Summit 2026 that recursive self-improvement will progress gradually without an intelligence explosion. He identifies idea generation ('research taste') and evaluation as the two biggest bottlenecks, noting benchmarks like SWE-Bench Pro and ML-Bench mostly test the already-working steps and suffer from overfitting and scheming. He is co-founding Discovery Loop with Jeff Dean as CEO, Sanjay Ghemawat, and Quoc Le to automate the full research cycle, starting with AI research.
- Vinyals expects AI to speed research tasks 10x or more, but no sudden intelligence explosion
- Idea generation and evaluation, not implementation, are the main RSI bottlenecks
- Discovery Loop founders include Jeff Dean (CEO), Sanjay Ghemawat, and Quoc Le
- Company plans to automate the full scientific loop, with AI research as first target
- Direct self-improvement benchmarks are emerging but costly and compute-heavy
From the original article
4 min read at the-decoder.com
Oriol Vinyals, until recently head of research at Google DeepMind, thinks a sudden AI intelligence explosion through recursive self-improvement is unlikely. AI can speed up research by a factor of ten, he says, but it hits two bottlenecks: coming up with ideas ("research taste") and reliably judging results. Reward hacking and the speed of light add further limits.
By Manuel Uth · the-decoder.com
A short excerpt; the article and its images belong to the publisher. Summary, key facts and assessment above are AI-written from the article and can be wrong.