Chris Albon: OpenAI is A/B/C testing how to integrate AI results with human scientists
chrisalbon · x · 2026-10-27
OpenAI's release process is evolving: treating new AI research manuscripts as "raw research data" and recruiting external experts as shepherds to test three release strategies — publishing raw AI output for math (researchers self-organize), forming an external collaborator group for the CS result, and releasing results plus code publicly. Chris Albon argues this is the most important part of OpenAI's new discoveries: an A/B/C test on integrating AI work with human scientists, whose winning method may become the new standard.
More from AGI Musings
- Math is cooked, physics is next: KOL says biology needs much bigger ovens — DeryaTR_ · 2026-10-27
- 'Lessons learned' papers may be worth more to AI models than 2500-citation atlas papers — owl_posting · 2026-10-27
- AI reportedly disproves the Exponential Time Hypothesis, shifting P vs NP odds — esrtweet · 2026-10-27
- The SMB process-data gold rush: 1M businesses selling know-how to RL environment companies — willcb · 2026-10-27
- Economist-spotlighted paper asks what evidence on work and wellbeing implies for AI futures — HaydnBelfield · 2026-10-27
- AI Researcher Flags Academic Post Hinting at Aerial Tracking, Zero Questions Raised — giffmana · 2026-10-27