Richard Feynman
Showing 1–2 of 2 transcripts.
- Dwarkesh Patel2h 21m
Steve Hsu - Intelligence, Embryo Selection, & The Future of Humanity
Steve Hsu, Richard Feynman, Gwern, Bezos
Genomic Prediction leverages machine learning and a dataset of over half a million genomes to calculate polygenic risk scores for IVF embryos, enabling clinics to select children with improved health spans and reduced disease risk. The company's technology relies on an additive genetic architecture that allows for the optimization of complex traits without inherent trade-offs, while currently addressing limitations in cross-population accuracy by developing algorithms to identify causal variants across diverse ancestries. As the industry shifts from wet lab services to cloud-based analysis, these advancements position the firm to influence future applications in cognitive trait prediction and matchmaking, though they face ongoing challenges regarding regulatory hurdles and ethical debates over non-medical genetic selection.
- Y Combinator1h 6m
Leonard Susskind on Richard Feynman, the Holographic Principle, and Unanswered Questions in Physics
Leonard Susskind, Richard Feynman, Craig Cannon, Claudio, Noah Hammer, rokkodigi
Leading theoretical physicist Leonard Sussman discusses his contributions to string theory and the holographic principle, framing these concepts not as final truths but as essential mathematical tools for resolving the incompatibility between quantum mechanics and gravity. Central to his presentation is the ER=EPR hypothesis, which links wormholes to quantum entanglement to suggest that gravity emerges from quantum information, alongside his defense of the anthropic principle as the most plausible explanation for the cosmological constant. Sussman also addresses the practical limitations of quantum computing, the rejection of the simulation hypothesis, and his commitment to public education in distinguishing rigorous science from pseudoscience.