Interconnects

96 Episodes

1. Interviewing Arvind Narayanan on making sense of AI hype

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

    Published: 7/31/2024
19. Llama 3.1 405b, Meta's AI strategy, and the new open frontier model ecosystem

    Published: 7/23/2024
20. SB 1047, AI regulation, and unlikely allies for open models

    Published: 7/17/2024