109 Épisodes

  1. Managing frontier model training organizations (or teams)

    Publié: 19/03/2025

  2. Gemma 3, OLMo 2 32B, and the growing potential of open-source AI

    Publié: 13/03/2025

  3. Interviewing Eugene Vinitsky on self-play for self-driving and what else people do with RL

    Publié: 12/03/2025

  4. Elicitation, the simplest way to understand post-training

    Publié: 10/03/2025

  5. Where inference-time scaling pushes the market for AI companies

    Publié: 05/03/2025

  6. GPT-4.5: "Not a frontier model"?

    Publié: 28/02/2025

  7. Character training: Understanding and crafting a language model's personality

    Publié: 26/02/2025

  8. Claude 3.7 thonks and what's next for inference-time scaling

    Publié: 24/02/2025

  9. Grok 3 and an accelerating AI roadmap

    Publié: 18/02/2025

  10. An unexpected RL Renaissance

    Publié: 13/02/2025

  11. Deep Research, information vs. insight, and the nature of science

    Publié: 12/02/2025

  12. Making the U.S. the home for open-source AI

    Publié: 05/02/2025

  13. Why reasoning models will generalize

    Publié: 28/01/2025

  14. Interviewing OLMo 2 leads: Open secrets of training language models

    Publié: 22/01/2025

  15. DeepSeek R1's recipe to replicate o1 and the future of reasoning LMs

    Publié: 21/01/2025

  16. Let me use my local LMs on Meta Ray-Bans

    Publié: 15/01/2025

  17. (Voiceover) DeepSeek V3 and the actual cost of training frontier AI models

    Publié: 09/01/2025

  18. The state of post-training in 2025

    Publié: 08/01/2025

  19. Quick recap on the state of reasoning

    Publié: 02/01/2025

  20. (Voiceover) 2024 Interconnects year in review

    Publié: 31/12/2024

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Audio essays about the latest developments in AI and interviews with leading scientists in the field. Breaking the hype, understanding what's under the hood, and telling stories. www.interconnects.ai

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