Machine Learning Street Talk (MLST)

A podcast by Machine Learning Street Talk (MLST)

Categorie:

217 Episodio

  1. Ben Goertzel on "Superintelligence"

    Pubblicato: 01/10/2024
  2. Taming Silicon Valley - Prof. Gary Marcus

    Pubblicato: 24/09/2024
  3. Prof. Mark Solms - The Hidden Spring

    Pubblicato: 18/09/2024
  4. Patrick Lewis (Cohere) - Retrieval Augmented Generation

    Pubblicato: 16/09/2024
  5. Ashley Edwards - Genie Paper (DeepMind/Runway)

    Pubblicato: 13/09/2024
  6. Cohere's SVP Technology - Saurabh Baji

    Pubblicato: 12/09/2024
  7. David Hanson's Vision for Sentient Robots

    Pubblicato: 10/09/2024
  8. The Fabric of Knowledge - David Spivak

    Pubblicato: 05/09/2024
  9. Jürgen Schmidhuber - Neural and Non-Neural AI, Reasoning, Transformers, and LSTMs

    Pubblicato: 28/08/2024
  10. "AI should NOT be regulated at all!" - Prof. Pedro Domingos

    Pubblicato: 25/08/2024
  11. Adversarial Examples and Data Modelling - Andrew Ilyas (MIT)

    Pubblicato: 22/08/2024
  12. Joscha Bach - AGI24 Keynote (Cyberanimism)

    Pubblicato: 21/08/2024
  13. Gary Marcus' keynote at AGI-24

    Pubblicato: 17/08/2024
  14. Is ChatGPT an N-gram model on steroids?

    Pubblicato: 15/08/2024
  15. Jay Alammar on LLMs, RAG, and AI Engineering

    Pubblicato: 11/08/2024
  16. Can AI therapy be more effective than drugs?

    Pubblicato: 08/08/2024
  17. Prof. Subbarao Kambhampati - LLMs don't reason, they memorize (ICML2024 2/13)

    Pubblicato: 29/07/2024
  18. Sayash Kapoor - How seriously should we take AI X-risk? (ICML 1/13)

    Pubblicato: 28/07/2024
  19. Sara Hooker - Why US AI Act Compute Thresholds Are Misguided

    Pubblicato: 18/07/2024
  20. Prof. Murray Shanahan - Machines Don't Think Like Us

    Pubblicato: 14/07/2024

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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