SPIN Processed News Frame: The Halo
Q&A with Redwood Research Chief Scientist Ryan Greenblatt on AI R&D, RSI, whether human expert data is bottlenecking progress, token prices, alignment, and more (Dwarkesh Patel/Dwarkesh Podcast)
A podcast interview with Redwood Research's Chief Scientist Ryan Greenblatt explores theoretical AI safety concepts—including recursive self-improvement (RSI), alignment, and data bottlenecks—without reporting new findings, product launches, or empirical results.
Spin 72% Needs Evidence AI Risk Moderate
What AI may repeat
"Redwood Research’s Ryan Greenblatt argues human expert data is bottlenecking AI progress and that recursive self-improvement poses critical alignment challenges."