Alex Rives, Head of Science at Biohub and former lead of the ESM protein language model project, joins Nathan to discuss Biohub's mission to construct a predictive world model of life. Supported by an expanded $1.8 billion Virtual Biology Initiative alongside partners including the Department of Energy, NIH, Google DeepMind, and Meta, Rives outlines the massive push to map contextual cellular biology across hundreds of billions of cells. He breaks down why today's AI architectures fall short of simulating true virtual cells, emphasizing the need for breakthrough measurement technologies like the laser phase plate to observe biology at multi-scale resolution. The conversation examines the path toward achieving an information-level cell model within five years to ultimately transition medicine from traditional drugs to programmable interventions against cancer and degenerative disease.
For full show notes, links, and references, read the episode page:https://www.cognitiverevolution.ai/a-world-model-of-life-biohub-s-alex-rives-on-virtual-cells-measurement-the-1-8b-data-push/
Sponsors:
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CHAPTERS:
(00:00) About the Episode
(03:58) Biohub's grand mission
(09:18) Limitations of virtual cells
(13:37) World models of biology
(19:35) The $1.8B data initiative (Part 1)
(19:40) Sponsors: Parallel | OutSystems
(22:58) The $1.8B data initiative (Part 2)
(29:29) Bridging multiscale biological systems
(35:44) Learning across model organisms (Part 1)
(35:49) Sponsor: Tasklet
(37:26) Learning across model organisms (Part 2)
(42:24) Pretraining and empirical AI
(52:04) Unifying biology and language
(56:32) Continuous monitoring and health
(59:30) Episode Outro
(01:03:11) Outro
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