Machine Learning Street Talk (MLST)

Un pódcast de Machine Learning Street Talk (MLST)

Categorías:

174 Episodo

  1. Patrick Lewis (Cohere) - Retrieval Augmented Generation

    Publicado: 16/9/2024
  2. Ashley Edwards - Genie Paper (DeepMind/Runway)

    Publicado: 13/9/2024
  3. Cohere's SVP Technology - Saurabh Baji

    Publicado: 12/9/2024
  4. David Hanson's Vision for Sentient Robots

    Publicado: 10/9/2024
  5. The Fabric of Knowledge - David Spivak

    Publicado: 5/9/2024
  6. Jürgen Schmidhuber - Neural and Non-Neural AI, Reasoning, Transformers, and LSTMs

    Publicado: 28/8/2024
  7. "AI should NOT be regulated at all!" - Prof. Pedro Domingos

    Publicado: 25/8/2024
  8. Adversarial Examples and Data Modelling - Andrew Ilyas (MIT)

    Publicado: 22/8/2024
  9. Joscha Bach - AGI24 Keynote (Cyberanimism)

    Publicado: 21/8/2024
  10. Gary Marcus' keynote at AGI-24

    Publicado: 17/8/2024
  11. Is ChatGPT an N-gram model on steroids?

    Publicado: 15/8/2024
  12. Jay Alammar on LLMs, RAG, and AI Engineering

    Publicado: 11/8/2024
  13. Can AI therapy be more effective than drugs?

    Publicado: 8/8/2024
  14. Prof. Subbarao Kambhampati - LLMs don't reason, they memorize (ICML2024 2/13)

    Publicado: 29/7/2024
  15. Sayash Kapoor - How seriously should we take AI X-risk? (ICML 1/13)

    Publicado: 28/7/2024
  16. Sara Hooker - Why US AI Act Compute Thresholds Are Misguided

    Publicado: 18/7/2024
  17. Prof. Murray Shanahan - Machines Don't Think Like Us

    Publicado: 14/7/2024
  18. David Chalmers - Reality+

    Publicado: 8/7/2024
  19. Ryan Greenblatt - Solving ARC with GPT4o

    Publicado: 6/7/2024
  20. Aiden Gomez - CEO of Cohere (AI's 'Inner Monologue' – Crucial for Reasoning)

    Publicado: 29/6/2024

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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/).

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