Interconnects

109 Episodes

1. [Article Voiceover] Reverse engineering OpenAI's o1

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

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

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

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

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

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

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

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

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

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

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

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

    Published: 7/17/2024
14. Switched to Claude 3.5

    Published: 7/3/2024
15. Interviewing Dean Ball on AI policy: CA SB 1047, upcoming AI disaster response, Llama 3 405B, Chinese open-source AI, and scaling laws

    Published: 6/27/2024
16. RLHF Roundup: Trying to get good at PPO, charting RLHF's impact, RewardBench retrospective, and a reward model competition

    Published: 6/26/2024
17. Frontiers in synthetic data

    Published: 6/21/2024
18. Text-to-video AI is already abundant

    Published: 6/18/2024
19. AI for the rest of us

    Published: 6/12/2024
20. A realistic path to robotic foundation models

    Published: 6/5/2024