DeepMind CSO: AI infrastructure bet hinges on recursive self-improvement
RebeccaBellan · x · 2026-09-13
This thread captures the industry-wide recursive self-improvement (RSI) discussion sparked by Dario Amodei's latest 3,800-word essay, plus Google DeepMind Chief Strategy Officer Jasjeet Sekhon's remarks.
- Sekhon: if recursive self-improvement hits, the capability curve goes hyperexponential — and that expectation is the key scientific and investment thesis behind society's current AI infrastructure spending.
- In its strongest form, RSI lets AI design, evaluate, and train more capable successors with progressively less human supervision.
- Current evidence remains narrower: Google's AlphaEvolve proposes algorithms scored by automated evaluators, and its kernel changes cut Gemini training time by 1% — bounded improvement, not autonomous successor design.
Related event: DeepMind CSO: Massive AI Infra Spending Bets on Recursive Self-Improvement(2 posts)→
More from AGI Musings
- Schmidhuber maps 40 years of recursive self-improvement, dismissing claims Google just cracked RSI — burny_tech · 2026-09-14
- The AI panic in a nutshell: elites pushing "safety" to protect their interests — AIandDesign · 2026-09-14
- Dev argues ASI won't kill people — real AI safety issue is distributing abundance — tobowers · 2026-09-14
- 10+ emails in a lease negotiation turned out to be his AI talking to their AI — adamamcbride · 2026-09-14
- Eight years'-caliber math results land in eight weeks: zeta bounds, prime gaps, FLT formalization — Zulfikar_Ramzan · 2026-09-14
- Tyler Cowen's Simple Model of AI-Aided Growth: Intelligence Meets Polanyi Knowledge — sebkrier · 2026-09-14