Interconnects

96 Episodes

1. Switched to Claude 3.5

   Published: 7/3/2024
2. 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
3. RLHF Roundup: Trying to get good at PPO, charting RLHF's impact, RewardBench retrospective, and a reward model competition

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

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

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

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

   Published: 6/5/2024
8. We aren't running out of training data, we are running out of open training data

   Published: 5/29/2024
9. Name, image, and AI's likeness

   Published: 5/22/2024
10. OpenAI chases Her

    Published: 5/16/2024
11. OpenAI's Model (behavior) Spec, RLHF transparency, and personalization questions

    Published: 5/13/2024
12. RLHF: A thin line between useful and lobotomized

    Published: 5/1/2024
13. Phi 3 and Arctic: Outlier LMs are hints

    Published: 4/30/2024
14. AGI is what you want it to be

    Published: 4/24/2024
15. Llama 3: Scaling open LLMs to AGI

    Published: 4/21/2024
16. Stop "reinventing" everything to "solve" alignment

    Published: 4/17/2024
17. The end of the "best open LLM"

    Published: 4/15/2024
18. Why we disagree on what open-source AI should be

    Published: 4/3/2024
19. DBRX: The new best open LLM and Databricks' ML strategy

    Published: 3/29/2024
20. Evaluations: Trust, performance, and price (bonus, announcing RewardBench)

    Published: 3/21/2024