The True Revolution Lies Ahead of Us
summary
Argues AI already speeds protein design (claim: 200 billion simulated proteins) and can enable in silico longevity experiments but biology still resists full simulation; cites concrete tooling: a heart simulation that takes ~12 hours per beat, wearable sensors (Dexcom, sweat sensors, implant EEG like Brainscape), and 16 digital twins publicly noted today. Notes costs and times: drug R&D ≈ $2.5B and 10–15 years, genome sequencing ≈ $400, plus ~40 AI-drug startups with ~$8B funding and regulatory barriers (aging not classified as disease).
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chapters (12)
- 0:00Introduction to longevity
- 1:05Longevity escape velocity
- 3:13Four systems in longevity research
- 6:04Genes and microbiome impact
- 8:09Pharma industry challenges
- 9:33AI in drug development
- 12:00Digital twins and data collection
- 15:14Vibe coding for drug development
- 17:43AI startups in healthcare
- 19:09Personal medicine and legislation
- 20:35Next steps for simulations
- 22:22Audience Q&A on longevity
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