PODCAST · Lex Fridman Podcast

2019 年 11 月节目

7 期 · 7 期带分节

  • 11-29Noam Chomsky: Language, Cognition, and Deep Learning
    1. 00:00Introduction
    2. 03:59Common language with an alience species
    3. 05:46Structure of language
    4. 07:18Roots of language in our brain
    5. 08:51Language and thought
    6. 09:44The limit of human cognition
    7. 16:48Neuralink
    8. 19:32Deepest property of language
    9. 22:13Limits of deep learning
    10. 28:01Good and evil
    11. 29:52Memorable experiences
    12. 33:29Mortality
    13. 34:23Meaning of life
  • 11-25Gilbert Strang: Linear Algebra, Deep Learning, Teaching, and MIT OpenCourseWare
    1. 00:00Introduction
    2. 03:45Math rockstar
    3. 05:10MIT OpenCourseWare
    4. 07:29Four Fundamental Subspaces of Linear Algebra
    5. 13:11Linear Algebra vs Calculus
    6. 15:03Singular value decomposition
    7. 19:47Why people like math
    8. 23:38Teaching by example
    9. 25:04Andrew Yang
    10. 26:46Society for Industrial and Applied Mathematics
    11. 29:21Deep learning
    12. 37:28Theory vs application
    13. 38:54Open problems in mathematics
    14. 39:00Linear algebra as a subfield of mathematics
    15. 41:52Favorite matrix
    16. 46:19Advice for students on their journey through math
    17. 47:37Looking back
  • 11-22Dava Newman: Space Exploration, Space Suits, and Life on Mars
    1. 00:00Introduction
    2. 03:11Circumnavigating the globe by boat
    3. 05:11Exploration
    4. 07:17Life on Mars
    5. 11:07Intelligent life in the universe
    6. 12:25Advanced propulsion technology
    7. 13:32The Moon and NASA’s Artemis program
    8. 19:17SpaceX
    9. 21:45Science on a CubeSat
    10. 23:45Reusable rockets
    11. 25:23Spacesuit of the future
    12. 32:01AI in Space
    13. 35:31Interplanetary species
    14. 36:57Future of space exploration
  • 11-19Michael Kearns: Algorithmic Fairness, Bias, Privacy, and Ethics in Machine Learning
    1. 00:00Introduction
    2. 02:45Influence from literature and journalism
    3. 07:39Are most people good?
    4. 13:05Ethical algorithm
    5. 24:28Algorithmic fairness of groups vs individuals
    6. 33:36Fairness tradeoffs
    7. 46:29Facebook, social networks, and algorithmic ethics
    8. 58:04Machine learning
    9. 58:05Machine learning
    10. 59:19Algorithm that determines what is fair
    11. 1:01:25Computer scientists should think about ethics
    12. 1:05:59Algorithmic privacy
    13. 1:11:50Differential privacy
    14. 1:19:10Privacy by misinformation
    15. 1:22:31Privacy of data in society
    16. 1:27:49Game theory
    17. 1:29:40Nash equilibrium
    18. 1:30:35Machine learning and game theory
    19. 1:34:52Mutual assured destruction
    20. 1:36:56Algorithmic trading
    21. 1:44:09Pivotal moment in graduate school
  • 11-12Elon Musk: Neuralink, AI, Autopilot, and the Pale Blue Dot
    1. 00:00Introduction
    2. 01:57Consciousness
    3. 05:58Regulation of AI Safety
    4. 09:39Neuralink – understanding the human brain
    5. 11:53Neuralink – expanding the capacity of the human mind
    6. 17:51Neuralink – future challenges, solutions, and impact
    7. 24:59Smart Summon
    8. 27:18Tesla Autopilot and Full Self-Driving
    9. 31:16Carl Sagan and the Pale Blue Dot
  • 11-07Bjarne Stroustrup: C++
    1. 00:00Introduction
    2. 01:40First program
    3. 02:18Journey to C++
    4. 16:45Learning multiple languages
    5. 23:20Javascript
    6. 25:08Efficiency and reliability in C++
    7. 31:53What does good code look like?
    8. 36:45Static checkers
    9. 41:16Zero-overhead principle in C++
    10. 50:00Different implementation of C++
    11. 54:46Key features of C++
    12. 1:08:02C++ Concepts
    13. 1:18:06C++ Standards Process
    14. 1:28:05Constructors and destructors
    15. 1:31:52Unified theory of programming
    16. 1:44:20Proudest moment
  • 11-01Sean Carroll: Quantum Mechanics and the Many-Worlds Interpretation
    1. 00:00Introduction
    2. 01:23Capacity of human mind to understand physics
    3. 10:49Perception vs reality
    4. 12:29Conservation of momentum
    5. 17:20Difference between math and physics
    6. 20:10Why is our world so compressable
    7. 22:53What would Newton think of quantum mechanics
    8. 25:44What is quantum mechanics?
    9. 27:54What is an atom?
    10. 30:34What is the wave function?
    11. 32:30What is quantum entanglement?
    12. 35:19What is Hilbert space?
    13. 37:32What is entropy?
    14. 39:31Infinity
    15. 42:43Many-worlds interpretation of quantum mechanics
    16. 1:01:13Quantum gravity and the emergence of spacetime
    17. 1:08:34Our branch of reality in many-worlds interpretation
    18. 1:10:40Time travel
    19. 1:12:54Arrow of time
    20. 1:16:18What is fundamental in physics
    21. 1:16:58Quantum computers
    22. 1:17:42Experimental validation of many-worlds and emergent spacetime
    23. 1:19:53Quantum mechanics and the human mind
    24. 1:21:51Mindscape podcast