Interconnects

A podcast by Nathan Lambert

Categories:

78 Episodes

  1. (Voiceover) Why I build open language models

    Published: 10/30/2024
  2. (Voiceover) Claude's agentic future and the current state of the frontier models

    Published: 10/23/2024
  3. Interviewing Arvind Narayanan on making sense of AI hype

    Published: 10/17/2024
  4. (Voiceover) Building on evaluation quicksand

    Published: 10/16/2024
  5. Interviewing Andrew Trask on how language models should store (and access) information

    Published: 10/10/2024
  6. How scaling changes model behavior

    Published: 10/9/2024
  7. [Article Voiceover] AI Safety's Crux: Culture vs. Capitalism

    Published: 10/2/2024
  8. Interviewing Riley Goodside on the science of prompting

    Published: 9/30/2024
  9. [Article Voiceover] Llama 3.2 Vision and Molmo: Foundations for the multimodal open-source ecosystem

    Published: 9/27/2024
  10. [Article Voiceover] Reverse engineering OpenAI's o1

    Published: 9/17/2024
  11. Futures of the data foundry business model

    Published: 9/11/2024
  12. A post-training approach to AI regulation with Model Specs

    Published: 9/10/2024
  13. OpenAI's Strawberry, LM self-talk, inference scaling laws, and spending more on inference

    Published: 9/5/2024
  14. OLMoE and the hidden simplicity in training better foundation models

    Published: 9/4/2024
  15. On the current definitions of open-source AI and the state of the data commons

    Published: 8/28/2024
  16. Nous Hermes 3 and exploiting underspecified evaluations

    Published: 8/16/2024
  17. Interviewing Ross Taylor on LLM reasoning, Llama fine-tuning, Galactica, agents

    Published: 8/8/2024
  18. A recipe for frontier model post-training

    Published: 8/7/2024
  19. Interviewing Sebastian Raschka on the state of open LLMs, Llama 3.1, and AI education

    Published: 8/1/2024
  20. GPT-4o-mini changed ChatBotArena

    Published: 7/31/2024

2 / 4

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