Machine Learning Street Talk (MLST)

En podcast af Machine Learning Street Talk (MLST)

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186 Episoder

  1. Joscha Bach - AGI24 Keynote (Cyberanimism)

    Udgivet: 21.8.2024
  2. Gary Marcus' keynote at AGI-24

    Udgivet: 17.8.2024
  3. Is ChatGPT an N-gram model on steroids?

    Udgivet: 15.8.2024
  4. Jay Alammar on LLMs, RAG, and AI Engineering

    Udgivet: 11.8.2024
  5. Can AI therapy be more effective than drugs?

    Udgivet: 8.8.2024
  6. Prof. Subbarao Kambhampati - LLMs don't reason, they memorize (ICML2024 2/13)

    Udgivet: 29.7.2024
  7. Sayash Kapoor - How seriously should we take AI X-risk? (ICML 1/13)

    Udgivet: 28.7.2024
  8. Sara Hooker - Why US AI Act Compute Thresholds Are Misguided

    Udgivet: 18.7.2024
  9. Prof. Murray Shanahan - Machines Don't Think Like Us

    Udgivet: 14.7.2024
  10. David Chalmers - Reality+

    Udgivet: 8.7.2024
  11. Ryan Greenblatt - Solving ARC with GPT4o

    Udgivet: 6.7.2024
  12. Aiden Gomez - CEO of Cohere (AI's 'Inner Monologue' – Crucial for Reasoning)

    Udgivet: 29.6.2024
  13. New "50%" ARC result and current winners interviewed

    Udgivet: 18.6.2024
  14. Cohere co-founder Nick Frosst on building LLM apps for business

    Udgivet: 16.6.2024
  15. What’s the Magic Word? A Control Theory of LLM Prompting.

    Udgivet: 5.6.2024
  16. CAN MACHINES REPLACE US? (AI vs Humanity) - Maria Santacaterina

    Udgivet: 6.5.2024
  17. Dr. Thomas Parr - Active Inference Book

    Udgivet: 1.5.2024
  18. Connor Leahy - e/acc, AGI and the future.

    Udgivet: 21.4.2024
  19. Prof. Chris Bishop's NEW Deep Learning Textbook!

    Udgivet: 10.4.2024
  20. Philip Ball - How Life Works

    Udgivet: 7.4.2024

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Welcome! We engage in fascinating discussions with pre-eminent figures in the AI field. Our flagship show covers current affairs in AI, cognitive science, neuroscience and philosophy of mind with in-depth analysis. Our approach is unrivalled in terms of scope and rigour – we believe in intellectual diversity in AI, and we touch on all of the main ideas in the field with the hype surgically removed. MLST is run by Tim Scarfe, Ph.D (https://www.linkedin.com/in/ecsquizor/) and features regular appearances from MIT Doctor of Philosophy Keith Duggar (https://www.linkedin.com/in/dr-keith-duggar/).

Visit the podcast's native language site