Machine Learning Street Talk (MLST)

A podcast by Machine Learning Street Talk (MLST)

Categorie:

Tecnica

217 Episodio

  1. David Chalmers - Reality+

    Pubblicato: 08/07/2024

  2. Ryan Greenblatt - Solving ARC with GPT4o

    Pubblicato: 06/07/2024

  3. Aiden Gomez - CEO of Cohere (AI's 'Inner Monologue' – Crucial for Reasoning)

    Pubblicato: 29/06/2024

  4. New "50%" ARC result and current winners interviewed

    Pubblicato: 18/06/2024

  5. Cohere co-founder Nick Frosst on building LLM apps for business

    Pubblicato: 16/06/2024

  6. What’s the Magic Word? A Control Theory of LLM Prompting.

    Pubblicato: 05/06/2024

  7. CAN MACHINES REPLACE US? (AI vs Humanity) - Maria Santacaterina

    Pubblicato: 06/05/2024

  8. Dr. Thomas Parr - Active Inference Book

    Pubblicato: 01/05/2024

  9. Connor Leahy - e/acc, AGI and the future.

    Pubblicato: 21/04/2024

  10. Prof. Chris Bishop's NEW Deep Learning Textbook!

    Pubblicato: 10/04/2024

  11. Philip Ball - How Life Works

    Pubblicato: 07/04/2024

  12. Dr. Paul Lessard - Categorical/Structured Deep Learning

    Pubblicato: 01/04/2024

  13. Can we build a generalist agent? Dr. Minqi Jiang and Dr. Marc Rigter

    Pubblicato: 20/03/2024

  14. Prof. Nick Chater - The Language Game (Part 1)

    Pubblicato: 01/03/2024

  15. Kenneth Stanley created a new social network based on serendipity and divergence

    Pubblicato: 28/02/2024

  16. Dr. Brandon Rohrer - Robotics, Creativity and Intelligence

    Pubblicato: 13/02/2024

  17. Showdown Between e/acc Leader And Doomer - Connor Leahy + Beff Jezos

    Pubblicato: 03/02/2024

  18. Mahault Albarracin - Cognitive Science

    Pubblicato: 14/01/2024

  19. $450M AI Startup In 3 Years | Chai AI

    Pubblicato: 09/01/2024

  20. DOES AI HAVE AGENCY? With Professor. Karl Friston and Riddhi J. Pitliya

    Pubblicato: 07/01/2024

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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