AI:AM — Human Tissue Models, Physical AI, and the Future of Testing · September 25, 2026

Podcast: AI:AM · Prakash Narayanan & Nathan Labenz

Opublikowano: 2026-09-26

Vivodyne’s Andrei Georgescu explains how vascularized human tissue models, robotics, multi-omic measurement, and foundation models could improve drug testing before clinical trials. Archetype AI’s Nick Gillian discusses Newton, a Physical AI model that combines sensor data to understand and predict events in the real world; the hosts also examine AI product safety, OpenAI and Anthropic’s alignment philosophies, CRISPR research, and whether AI can deliver useful advances in biology before it is fully understood. Chapters (0:00) AI safety has two different meanings. (0:15) Why drug testing needs human tissue. (3:20) Physical AI is big...