632nm

Misha Shalaginov, Michael Dubrovsky, Xinghui Yin
  • 5,0 (2)
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632nm

Technical interviews with the greatest scientists in the world.

  1. HÁ 5 DIAS

    Hunting for Alien Artifacts | Avi Loeb

    Join the 632nm team as we sit down with Harvard Professor Avi Loeb, in this fascinating exploration of astronomy, alien life, and the intersection of science and politics. From discussing the mysterious interstellar object that changed astronomy to explaining why Mars might not be the best destination for human colonization, Loeb challenges conventional wisdom with evidence-based insights. His unique perspective, shaped by his journey from growing up on a farm in Israeli to becoming a leading Harvard scientist, reminds us to think from first principles about the universe’s biggest questions. The conversation illuminates the stories behind groundbreaking scientific discoveries, including the work of overlooked pioneers in astronomy, and seriously explores the potential existence of extraterrestrial intelligence. Loeb shares his vision for the Galileo Project, discusses the search for alien artifacts on Earth, and explains why artificial intelligence might be crucial in solving the Fermi Paradox. 00:00 Introduction and Opening Thoughts00:34 Avi Loeb's Journey and Achievements01:15 Science vs. Politics05:49 Early Life and Philosophical Influences16:57 Astrophysics and the Search for Extraterrestrial Life55:19 Breakthrough Initiatives: A Surreal Presentation56:40 Stephen Hawking's Visit and Human Limitations59:17 The Search for Intelligent Civilizations01:02:09 The Future of Space Exploration01:05:33 The Age of the Universe and Interstellar Objects01:42:23 The Quest for Immortality: Leaving a Legacy01:43:31 AI and Human Existence: A Philosophical Dive01:45:57 Navigating Politics: A Scientist's Perspective01:48:13 The Scientific Method: A Path to Truth02:03:27 Galileo Project: Searching for Extraterrestrial Life02:40:52 The Simplicity of Science02:41:25 Exploring Oumuamua and the Galileo Project02:45:24 The Quest for Interstellar Discoveries02:48:35 The Origins of Life and the Universe02:59:22 The Future of AI and Humanity FOLLOW US ON SOCIAL:Twitter @ https://x.com/632nmPodcastSubstack: https://632nmpodcast.substack.com/Michael Dubrovsky @ https://x.com/MikeDubrovskyMisha Shalaginov @ https://x.com/MYShalaginovXinghui Yin @ https://x.com/XinghuiYin SUBSCRIBE:Apple Podcasts: https://podcasts.apple.com/us/podcast/632nm/id1751170269Spotify: https://open.spotify.com/show/4aVH9vT5qp5UUUvQ6Uf6OR WEBSITE: https://www.632nm.com

    3h37min

  2. 10 DE FEV.

    Are We Doomed? | Dan Aronovich on Norbert Wiener's 1948 “Cybernetics”

    In this episode, the 632nm team sits down with Dan Aronovich (Data Science Decoded Podcast) to explore predictions about technology and society, starting with MIT pioneer Norbert Wiener's remarkably prescient warnings about AI from 1948. His concerns about artificial systems misinterpreting human instructions mirror modern discussions about AI alignment, while his skepticism of social sciences raises important questions about the limitations of studying human behavior. The conversation takes an unexpected turn as it delves into demographic forecasts that paint a striking picture of humanity's future. The discussion reveals how declining global fertility rates could lead to religious groups becoming demographically dominant, while technological advances might create a world populated by extremely long-lived humans augmented by robotics. 01:16 Exploring Norbert Wiener's Cybernetics01:35 Main Claims of Cybernetics03:14 Cybernetics in Different Cultures04:06 Historical Context and AI Precursors05:30 Wiener Filter and Signal Processing10:16 Philosophical Insights and Social Implications22:48 Analog vs Digital and Future of AI31:56 Debunking Doom Predictions32:13 AI and Digital Control32:59 AI and Physical World Challenges35:13 Future Societal Structures37:58 Global Fertility Trends42:45 AI in Military and Arms Race47:15 AI Creativity and Hallucinations52:53 Psychedelics and AI FOLLOW US ON SOCIAL:Twitter @ https://x.com/632nmPodcastSubstack: https://632nmpodcast.substack.com/Michael Dubrovsky @ https://x.com/MikeDubrovskyMisha Shalaginov @ https://x.com/MYShalaginovXinghui Yin @ https://x.com/XinghuiYin SUBSCRIBE:Apple Podcasts: https://podcasts.apple.com/us/podcast/632nm/id1751170269Spotify: https://open.spotify.com/show/4aVH9vT5qp5UUUvQ6Uf6OR WEBSITE: https://www.632nm.com

    59min

  3. 3 DE FEV.

    Information, Entropy & Reality | MIT Professor Seth Lloyd on Quantum Computing

    The 632nm team sat down with MIT professor Seth Lloyd for a mind-bending journey through quantum mechanics, information theory, and the early days of quantum computing. Lloyd shares fascinating stories from his pioneering work in quantum information, including how he nearly got expelled from his PhD program for pursuing what was then considered a "crazy" research direction. Through engaging examples and personal anecdotes, he explains why quantum mechanics is "irreducibly weird" and how information and entropy are fundamentally the same thing. The conversation takes unexpected turns with remarkable stories about Stephen Hawking's quantum gravity lectures, Richard Feynman's three tricks that revolutionized physics, and epic MIT student pranks including the great Caltech cannon heist. Lloyd also tackles deep questions about consciousness, free will, and the computational nature of the universe, explaining why the universe itself may be its own most efficient simulation. His unique perspective as both a mechanical engineer and quantum physicist brings fresh insights to some of science's most profound mysteries. 00:00 Introduction to Quantum Mechanics and Philosophy02:13 Academic Journey and Early Inspirations05:26 Challenges and Breakthroughs in Quantum Information11:17 Entropy, Information Theory, and the Second Law25:33 Quantum Computing and Feynman's Hamiltonian41:27 Discrete vs. Continuous Spectrums in Quantum Systems42:39 Early Quantum Computing Breakthroughs44:27 Building Quantum Computers: Techniques and Challenges50:27 The Universe as a Quantum Computer01:05:52 Quantum Machine Learning and Future Prospects01:19:12 Navigating an Academic Family Background01:19:50 Challenges in Quantum Information Career01:24:32 Reflections on Harvard and MIT Experiences01:27:01 Exploring Free Will and Consciousness01:57:09 MIT Hacks and Anecdotes FOLLOW US ON SOCIAL:Twitter @ https://x.com/632nmPodcastSubstack: https://632nmpodcast.substack.com/Michael Dubrovsky @ https://x.com/MikeDubrovskyMisha Shalaginov @ https://x.com/MYShalaginovXinghui Yin @ https://x.com/XinghuiYin SUBSCRIBE:Apple Podcasts: https://podcasts.apple.com/us/podcast/632nm/id1751170269Spotify: https://open.spotify.com/show/4aVH9vT5qp5UUUvQ6Uf6OR WEBSITE: https://www.632nm.com

    2h3min

  4. 27 DE JAN.

    From Medieval Glass to Nobel Prize | Moungi Bawendi on Mastering Quantum Dots

    In this episode, the 632 team interviewed Nobel laureate Moungi Bawendi, revealing his serendipitous journey to the discovery and development of quantum dots. From a summer internship at Bell Labs to an expired bottle of chemicals that contained the perfect mixture, Bawendi shares how some of chemistry's biggest breakthroughs came from unexpected places. He draws remarkable connections between medieval stained glass artisans and modern nanotechnology, explaining how thousand-year-old techniques unknowingly pioneered the manipulation of nanoparticles. The conversation takes us through the evolution of quantum dots from laboratory curiosity to revolutionary technology, now powering millions of modern TV displays. Bawendi offers candid insights into the challenges of modern scientific research funding, even at prestigious institutions like MIT, while discussing how the path from discovery to real-world impact still takes decades despite our fast-paced digital era. 01:04 Understanding Quantum Dots02:41 The Birth of Quantum Dots03:49 Discoveries and Career Choices09:05 The Evolution of Nanotechnology11:02 The Chemistry Behind Nanocrystals50:58 Bulk Phosphine and Cost Efficiency53:56 Timeline of Quantum Dot Research01:12:46 MRI Contrast Agents and Iron Oxide01:17:14 Funding and Future of Scientific Research FOLLOW US ON SOCIAL:Twitter @ https://x.com/632nmPodcastSubstack: https://632nmpodcast.substack.com/Michael Dubrovsky @ https://x.com/MikeDubrovskyMisha Shalaginov @ https://x.com/MYShalaginovXinghui Yin @ https://x.com/XinghuiYin SUBSCRIBE:Apple Podcasts: https://podcasts.apple.com/us/podcast/632nm/id1751170269Spotify: https://open.spotify.com/show/4aVH9vT5qp5UUUvQ6Uf6OR WEBSITE: https://www.632nm.com

    1h31min

  5. 20 DE JAN.

    How a Vision Disorder Led to Shocking Brain Science Discoveries | Mark Bear on Neuroplasticity

    In this captivating episode, we explore how Mark Bear's personal experience with congenital nystagmus sparked a revolutionary career in neuroscience. Mark shares his remarkable journey from struggling with a visual impairment to making groundbreaking discoveries about how the brain processes visual information, including the identification of a previously unknown neural pathway discovered during his undergraduate years. The conversation delves deep into the fascinating mechanics of human vision, explaining how our brains transform input from two separate eyes into one unified visual experience. Perhaps most intriguingly, Mark reveals critical insights about the brain's developmental windows, particularly how infants must learn to see during their first year of life and why this ability has a strict deadline around age seven. This episode offers a unique blend of personal narrative and cutting-edge neuroscience, illuminating the remarkable plasticity of the human brain and the time-sensitive nature of neural development. 02:18 Discovering the Visual Cortex06:58 Understanding Vision and Visual Processing14:47 Exploring Plasticity in the Visual System29:12 The Role of Sleep and Hallucinations in Vision34:07 Memory, Plasticity, and Neuromodulation41:47 Experience-Dependent Plasticity and Learning48:39 Evolutionary Insights from Primate and Cat Visual Systems49:37 Unique Features of Mouse Visual System50:52 Visual Evoked Potentials: Techniques and Discoveries53:19 Stimulus Selective Response Plasticity54:38 Behavioral and Electrophysiological Correlates of Learning01:02:03 Declarative vs. Procedural Memory01:03:54 Hippocampus and Memory Storage01:18:55 Challenges and Future Directions in Neuroscience FOLLOW US ON SOCIAL:Twitter @ https://x.com/632nmPodcastSubstack: https://632nmpodcast.substack.com/Michael Dubrovsky @ https://x.com/MikeDubrovskyMisha Shalaginov @ https://x.com/MYShalaginovXinghui Yin @ https://x.com/XinghuiYin SUBSCRIBE:Apple Podcasts: https://podcasts.apple.com/us/podcast/632nm/id1751170269Spotify: https://open.spotify.com/show/4aVH9vT5qp5UUUvQ6Uf6OR WEBSITE: https://www.632nm.com

    1h36min

  6. 13 DE JAN.

    The Current Reality of Quantum Computing | Yudong Cao on Deploying Quantum for Real-Life Problems

    In this eye-opening episode, former Zapata Computing CEO Yudong Chen reveals the sobering truth about quantum computing's potential impact on drug discovery and the industry's inflated market expectations. Chen explains why even with perfect quantum chemistry calculations, the business case for quantum computing in pharmaceuticals falls dramatically short of the billions being invested, with a total addressable market of only around $100M. The conversation takes fascinating turns as Chen shares the unusual origin story of Zapata Computing, named after Mexican revolutionary Emiliano Zapata, and traces the company's journey from quantum computing to AI. He provides crucial insights into the field's future, discussing the emerging quantum winter and why government funding, rather than venture capital, may be the path forward. The episode concludes with Chen's compelling vision for advancing quantum computing through focused application development and the need for standardized infrastructure. 02:19 The Origin Story of Zapata Computing04:27 Early Challenges and Realizations in Quantum Chemistry06:22 Exploring Optimization and Machine Learning15:46 Understanding Variational Quantum Algorithms29:11 Quantum Computing in Drug Discovery and Industry34:33 Economic Impact and Future of Quantum Computing01:01:35 Classical Chips vs Quantum Devices01:19:40 Reflections on Zapata's IPO and Market Dynamics01:24:12 Future of Quantum Computing and Personal Insights FOLLOW US ON SOCIAL:Twitter @ https://x.com/632nmPodcastSubstack: https://632nmpodcast.substack.com/Michael Dubrovsky @ https://x.com/MikeDubrovskyMisha Shalaginov @ https://x.com/MYShalaginovXinghui Yin @ https://x.com/XinghuiYin SUBSCRIBE:Apple Podcasts: https://podcasts.apple.com/us/podcast/632nm/id1751170269Spotify: https://open.spotify.com/show/4aVH9vT5qp5UUUvQ6Uf6OR WEBSITE: https://www.632nm.com

    1h53min

  7. 6 DE JAN.

    From Failed Project to 40 Million Eye Scans: David Huang on the Birth of OCT

    Dr. David Huang shares the remarkable journey of how a failed laser surgery project during his MD-PhD studies at MIT led to the invention of Optical Coherence Tomography (OCT), now used in over 40 million eye procedures annually. The story includes a pivotal moment when Professor James Fujimoto volunteered as the first human subject for OCT testing when no other students would agree to have an experimental laser pointed at their eye. The development of OCT was made possible by the 1980s telecommunications boom, which provided crucial fiber optic components. Dr. Huang's unique background combining computer science and medicine proved essential for creating this breakthrough technology. The conversation also explores OCT's rapid commercialization, its impact on treating age-related macular degeneration, and future developments including smartphone-based screening and potential applications for diagnosing brain and heart disease through retinal imaging. Reference Paper on OCT (Science 1991): https://www.science.org/doi/10.1126/science.1957169 02:31 Understanding Optical Coherence Tomography (OCT)04:09 The Evolution of Eye Imaging Techniques05:34 Technical Principles of OCT10:38 Development and Early Applications of OCT15:23 Challenges and Breakthroughs in OCT25:54 Clinical Acceptance and Advancements in OCT45:32 The Rise of Startups in Academia51:27 Future of Imaging Technologies54:02 Challenges in Developing OCT on a Chip57:27 Rival Optical Imaging Technologies01:05:54 Advice for Young Researchers FOLLOW US ON SOCIAL:Twitter @ https://x.com/632nmPodcastSubstack: https://632nmpodcast.substack.com/Michael Dubrovsky @ https://x.com/MikeDubrovskyMisha Shalaginov @ https://x.com/MYShalaginovXinghui Yin @ https://x.com/XinghuiYin SUBSCRIBE:Apple Podcasts: https://podcasts.apple.com/us/podcast/632nm/id1751170269Spotify: https://open.spotify.com/show/4aVH9vT5qp5UUUvQ6Uf6OR WEBSITE: https://www.632nm.com

    1h29min

  8. 30/12/2024

    Origins of Life | Anna Wang on Artificial Cells and Nano-Robots

    Origins of life researcher Anna Wang takes us on a fascinating journey through the latest theories about how life began, revealing why Darwin's "warm little ponds" are making a comeback and how ocean spray droplets may have served as nature's first test tubes. She explains why early cell membranes were more like soap bubbles - fragile and leaky - and how these imperfections were actually crucial for primitive life to function. The conversation explores the cutting edge of synthetic biology, where scientists are attempting to build artificial cells from scratch. Wang shares illuminating analogies, comparing their work to vegan cooking where researchers must recreate sophisticated biological processes without using modern cellular ingredients. She also discusses the ultimate goal of creating truly evolving systems, while acknowledging both the excitement and concerns surrounding such an achievement.  Throughout the discussion, Wang emphasizes how the complexity of biological systems requires collaboration between physics, chemistry, and biology to unlock the mysteries of life's origins. 01:58 The Current State of Origin of Life Research04:47 Challenges in Building Life from Scratch12:28 Energy Sources and Membrane Dynamics41:22 Membrane Dynamics and Chemical Gradients48:42 Challenges in Synthetic Biology59:16 Silicon in Biological Systems01:14:37 Reflections and Future Aspirations FOLLOW US ON SOCIAL:Twitter @ https://x.com/632nmPodcastSubstack: https://632nmpodcast.substack.com/Michael Dubrovsky @ https://x.com/MikeDubrovskyMisha Shalaginov @ https://x.com/MYShalaginovXinghui Yin @ https://x.com/XinghuiYin SUBSCRIBE:Apple Podcasts: https://podcasts.apple.com/us/podcast/632nm/id1751170269Spotify: https://open.spotify.com/show/4aVH9vT5qp5UUUvQ6Uf6OR WEBSITE: https://www.632nm.com

    1h16min
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Classificações e avaliações

5
de 5
2 avaliações

Sobre

Technical interviews with the greatest scientists in the world.

Informações

  • Criado por
    Misha Shalaginov, Michael Dubrovsky, Xinghui Yin
  • Anos de atividade
    2024 - 2025
  • Episódios
    18
  • Classificação
    Livre
  • Copyright
    © 2025 Misha Shalaginov, Michael Dubrovsky, Xinghui Yin
  • Site do podcast
    632nm

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