Noam Brown on Dwarkesh: math progress hints at what happens when AI automates research
polynoamial · x · 2026-09-18
Dwarkesh Patel released a long-form conversation with OpenAI's Noam Brown on multi-agent systems, Navier-Stokes, and what the current explosion of math progress implies once AI research itself is automated. Other key threads: how AI firms will be organized, the internal/external model capability gap, a claim that chain-of-thought is degrading, and how we'd actually know models are aligned before kicking off recursive self-improvement. Brown credits OpenAI teammates including Kevin Lu and Mike Malek for the multi-agent work. Full timestamps span multi-agent/Navier-Stokes through 'when is alignment solved'.
More from AGI Musings
- Alpha School investigation: 17 campuses on probation, Bill Ackman as shadow lead, Holmes involved — benjaminjriley · 2026-11-02
- Google's chief economist: AI will transform more jobs than it kills — gains come from redesigning workflows — danielrock · 2026-11-02
- Daniel Lemire: AI is exploding demand for boring compute, server CPUs to double — lemire · 2026-11-02
- Alignment researcher: the word "aligned" implies consistencies that don't exist — davidmanheim · 2026-11-02
- By 2035, Indian Parents Will Ask How Many Agents You Manage, Not Your Salary — theteknosaur · 2026-11-02
- Under 5% of US consumers pay for AI, yet compute demand is already forcing usage cuts — NinaDSchick · 2026-11-02