Researchers Debate: Don't Let Theoretical AI Risk Block Life-Saving Work
Stanford researcher Sérgio Rodriques argued that while people debate theoretical AI risks, over 1% of the population dies yearly from disease and aging—so slowing progress or blocking researchers from using frontier models for drug discovery is wrong, reigniting the safety-versus-acceleration debate.
2026-09-17 ~ 2026-09-17 · 2 related posts
- Researchers push back: blocking frontier models from drug discovery costs real lives — anshulkundaje · 2026-09-17
- Researcher: accelerating medicine beats slowing AI over theoretical risks — anshulkundaje · 2026-09-17