PODCAST · Lex Fridman Podcast

2020 年 5 月节目

6 期 · 6 期带分节

  • 05-28#99 – Karl Friston: Neuroscience and the Free Energy Principle
    1. 00:00Introduction
    2. 01:50How much of the human brain do we understand?
    3. 05:53Most beautiful characteristic of the human brain
    4. 10:43Brain imaging
    5. 20:38Deep structure
    6. 21:23History of brain imaging
    7. 32:31Neuralink and brain-computer interfaces
    8. 43:05Free energy principle
    9. 1:24:29Meaning of life
  • 05-20#97 – Sertac Karaman: Robots That Fly and Robots That Drive
    1. 00:00Introduction
    2. 01:44Autonomous flying vs autonomous driving
    3. 06:37Flying cars
    4. 10:27Role of simulation in robotics
    5. 17:35Game theory and robotics
    6. 24:30Autonomous vehicle company strategies
    7. 29:46Optimus Ride
    8. 47:08Waymo, Tesla, Optimus Ride timelines
    9. 53:22Achieving the impossible
    10. 53:50Iterative learning
    11. 58:39Is Lidar is a crutch?
    12. 1:03:21Fast autonomous flight
    13. 1:18:06Most beautiful idea in robotics
  • 05-15#96 – Stephen Schwarzman: Going Big in Business, Investing, and AI
    1. 00:00Introduction
    2. 04:17Going big in business
    3. 07:34How to recognize an opportunity
    4. 16:00Solving problems that people have
    5. 25:26Philanthropy
    6. 32:51Hope for the new College of Computing at MIT
    7. 37:32Unintended consequences of technological innovation
    8. 42:24Education systems in China and United States
    9. 50:22American AI Initiative
    10. 59:53Starting a business is a rough ride
    11. 1:04:26Love and family
  • 05-12#95 – Dawn Song: Adversarial Machine Learning and Computer Security
    1. 00:00Introduction
    2. 01:53Will software always have security vulnerabilities?
    3. 09:06Human are the weakest link in security
    4. 16:50Adversarial machine learning
    5. 51:27Adversarial attacks on Tesla Autopilot and self-driving cars
    6. 57:33Privacy attacks
    7. 1:05:47Ownership of data
    8. 1:22:13Blockchain and cryptocurrency
    9. 1:32:13Program synthesis
    10. 1:44:57A journey from physics to computer science
    11. 1:56:03US and China
    12. 1:58:19Transformative moment
    13. 2:00:02Meaning of life
  • 05-08#94 – Ilya Sutskever: Deep Learning
    1. 00:00Introduction
    2. 02:23AlexNet paper and the ImageNet moment
    3. 08:33Cost functions
    4. 13:39Recurrent neural networks
    5. 16:19Key ideas that led to success of deep learning
    6. 19:57What’s harder to solve: language or vision?
    7. 29:35We’re massively underestimating deep learning
    8. 36:04Deep double descent
    9. 41:20Backpropagation
    10. 42:42Can neural networks be made to reason?
    11. 50:35Long-term memory
    12. 56:37Language models
    13. 1:00:35GPT-2
    14. 1:07:14Active learning
    15. 1:08:52Staged release of AI systems
    16. 1:13:41How to build AGI?
    17. 1:25:00Question to AGI
    18. 1:32:07Meaning of life
  • 05-05#93 – Daphne Koller: Biomedicine and Machine Learning
    1. 00:00Introduction
    2. 02:22Will we one day cure all disease?
    3. 06:31Longevity
    4. 10:16Role of machine learning in treating diseases
    5. 13:05A personal journey to medicine
    6. 16:25Insitro and disease-in-a-dish models
    7. 33:25What diseases can be helped with disease-in-a-dish approaches?
    8. 36:43Coursera and education
    9. 49:04Advice to people interested in AI
    10. 50:52Beautiful idea in deep learning
    11. 55:10Uncertainty in AI
    12. 58:29AGI and AI safety
    13. 1:06:52Are most people good?
    14. 1:09:04Meaning of life