Meta's compute-allocation pledge sparks debate on racing to recursive self-improvement
DKokotajlo · x · 2026-09-16
Nathan Calvin argues that committing the majority of compute to serving users rather than racing toward recursive self-improvement is one of the best ways to develop AI safely, noting Meta has made this commitment and other labs can too. Daniel Kokotajlo endorses the point, suggesting publicly sharing compute allocations with third-party verification could become an industry norm — and leading labs could start unilaterally right away.
More from AGI Musings
- Palmer Luckey asks: can you use datacenter RAM for things prohibited by the operator's terms of service? — avaitopiper · 2026-11-02
- On Terence Tao's blog, Frank Calegari calls on mathematicians to adapt after OpenAI's 700-paper release — Hesamation · 2026-11-02
- Polsia's Ben argues AI can autonomously run any human economic activity, including 80% of a company — LinusEkenstam · 2026-11-02
- AI Assistants Remember You, But Nothing Helps You Find What They Told You — Ok_Negotiation_2587 · 2026-11-02
- OpenAI and Anthropic claim AI-discovered proofs disprove the Exponential Time Hypothesis — emmanuelvivier · 2026-11-02
- Researcher: using a $20 AI subscription to fix my phone hints AI may suppress GDP — stanislavfort · 2026-11-02