Interconnects

109 Avsnitt

1. Managing frontier model training organizations (or teams)

   Publicerades: 2025-03-19
2. Gemma 3, OLMo 2 32B, and the growing potential of open-source AI

   Publicerades: 2025-03-13
3. Interviewing Eugene Vinitsky on self-play for self-driving and what else people do with RL

   Publicerades: 2025-03-12
4. Elicitation, the simplest way to understand post-training

   Publicerades: 2025-03-10
5. Where inference-time scaling pushes the market for AI companies

   Publicerades: 2025-03-05
6. GPT-4.5: "Not a frontier model"?

   Publicerades: 2025-02-28
7. Character training: Understanding and crafting a language model's personality

   Publicerades: 2025-02-26
8. Claude 3.7 thonks and what's next for inference-time scaling

   Publicerades: 2025-02-24
9. Grok 3 and an accelerating AI roadmap

   Publicerades: 2025-02-18
10. An unexpected RL Renaissance

    Publicerades: 2025-02-13
11. Deep Research, information vs. insight, and the nature of science

    Publicerades: 2025-02-12
12. Making the U.S. the home for open-source AI

    Publicerades: 2025-02-05
13. Why reasoning models will generalize

    Publicerades: 2025-01-28
14. Interviewing OLMo 2 leads: Open secrets of training language models

    Publicerades: 2025-01-22
15. DeepSeek R1's recipe to replicate o1 and the future of reasoning LMs

    Publicerades: 2025-01-21
16. Let me use my local LMs on Meta Ray-Bans

    Publicerades: 2025-01-15
17. (Voiceover) DeepSeek V3 and the actual cost of training frontier AI models

    Publicerades: 2025-01-09
18. The state of post-training in 2025

    Publicerades: 2025-01-08
19. Quick recap on the state of reasoning

    Publicerades: 2025-01-02
20. (Voiceover) 2024 Interconnects year in review

    Publicerades: 2024-12-31