Interconnects

109 Episoder

1. Managing frontier model training organizations (or teams)

   Publisert: 19.3.2025
2. Gemma 3, OLMo 2 32B, and the growing potential of open-source AI

   Publisert: 13.3.2025
3. Interviewing Eugene Vinitsky on self-play for self-driving and what else people do with RL

   Publisert: 12.3.2025
4. Elicitation, the simplest way to understand post-training

   Publisert: 10.3.2025
5. Where inference-time scaling pushes the market for AI companies

   Publisert: 5.3.2025
6. GPT-4.5: "Not a frontier model"?

   Publisert: 28.2.2025
7. Character training: Understanding and crafting a language model's personality

   Publisert: 26.2.2025
8. Claude 3.7 thonks and what's next for inference-time scaling

   Publisert: 24.2.2025
9. Grok 3 and an accelerating AI roadmap

   Publisert: 18.2.2025
10. An unexpected RL Renaissance

    Publisert: 13.2.2025
11. Deep Research, information vs. insight, and the nature of science

    Publisert: 12.2.2025
12. Making the U.S. the home for open-source AI

    Publisert: 5.2.2025
13. Why reasoning models will generalize

    Publisert: 28.1.2025
14. Interviewing OLMo 2 leads: Open secrets of training language models

    Publisert: 22.1.2025
15. DeepSeek R1's recipe to replicate o1 and the future of reasoning LMs

    Publisert: 21.1.2025
16. Let me use my local LMs on Meta Ray-Bans

    Publisert: 15.1.2025
17. (Voiceover) DeepSeek V3 and the actual cost of training frontier AI models

    Publisert: 9.1.2025
18. The state of post-training in 2025

    Publisert: 8.1.2025
19. Quick recap on the state of reasoning

    Publisert: 2.1.2025
20. (Voiceover) 2024 Interconnects year in review

    Publisert: 31.12.2024