Machine Learning Street Talk (MLST)

En podkast av Machine Learning Street Talk (MLST)

Kategorier:

209 Episoder

  1. Jürgen Schmidhuber - Neural and Non-Neural AI, Reasoning, Transformers, and LSTMs

    Publisert: 28.8.2024
  2. "AI should NOT be regulated at all!" - Prof. Pedro Domingos

    Publisert: 25.8.2024
  3. Adversarial Examples and Data Modelling - Andrew Ilyas (MIT)

    Publisert: 22.8.2024
  4. Joscha Bach - AGI24 Keynote (Cyberanimism)

    Publisert: 21.8.2024
  5. Gary Marcus' keynote at AGI-24

    Publisert: 17.8.2024
  6. Is ChatGPT an N-gram model on steroids?

    Publisert: 15.8.2024
  7. Jay Alammar on LLMs, RAG, and AI Engineering

    Publisert: 11.8.2024
  8. Can AI therapy be more effective than drugs?

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

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

    Publisert: 28.7.2024
  11. Sara Hooker - Why US AI Act Compute Thresholds Are Misguided

    Publisert: 18.7.2024
  12. Prof. Murray Shanahan - Machines Don't Think Like Us

    Publisert: 14.7.2024
  13. David Chalmers - Reality+

    Publisert: 8.7.2024
  14. Ryan Greenblatt - Solving ARC with GPT4o

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

    Publisert: 29.6.2024
  16. New "50%" ARC result and current winners interviewed

    Publisert: 18.6.2024
  17. Cohere co-founder Nick Frosst on building LLM apps for business

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

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

    Publisert: 6.5.2024
  20. Dr. Thomas Parr - Active Inference Book

    Publisert: 1.5.2024

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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