Interconnects AI

Interconnects AI

Interviews: Discussions with leading AI researchers

Dean Ball on open models and government control
Subtle precedents on the future of open models set by the unfolding Anthropic v. Department of War case.
 • Nathan Lambert and Dean W. Ball
35:35
Why Nvidia builds open models with Bryan Catanzaro
Interconnects interview #17 on the past, present, and future of the Nemotron project.
 • Nathan Lambert
1:07:41
Arcee AI goes all-in on open models built in the U.S.
Interconnects interview #16 to celebrate the release of Trinity Large.
 • Nathan Lambert
1:12:15
Interview: Ant Group's open model ambitions
Launching a new open model series. Interconnects Interview #15.
 • Nathan Lambert
1:17:48
Interviewing Ross Taylor on the state of AI: Chinese open models, scaling reasoning, useful tools, and what comes next
Listen now | Interconnects Interview #14. Ross's second time on the show.
 • Nathan Lambert
1:14:40
Interviewing Eugene Vinitsky on self-play for self-driving and what else people do with RL
#13. Reinforcement learning fundamentals and scaling.
 • Nathan Lambert
1:09:22
Interviewing OLMo 2 leads: Open secrets of training language models
#12 What we have learned and are going to do next.
 • Nathan Lambert
1:12:42
Interviewing Finbarr Timbers on the "We are So Back" Era of Reinforcement Learning
Listen now | Interconnects interview #11. An overview on the past, present, and future of RL.
 • Nathan Lambert and Finbarr Timbers
1:08:32
Interviewing Tim Dettmers on open-source AI: Agents, scaling, quantization and what's next
Listen now | Interconnects interview #10. Catching up with one of the leaders of open-source AI.
 • Nathan Lambert
1:15:45
Interviewing Andrew Carr of Cartwheel on the State of Generative AI
Listen now | Interconnects interview #9. Creativity of and with AI, AI for motion, robotic models, Claude computer use, and all the relevant topics.
 • Nathan Lambert
54:09
Interviewing Arvind Narayanan on making sense of AI hype
Listen now | Interconnects Interview #8. AGI, reasoning, what LLMs, and what they don't.
 • Arvind Narayanan and Nathan Lambert
54:21
Interviewing Andrew Trask on how language models should store (and access) information
Listen now | Interconnects Interview #7. Open data, new LM architectures, new governance mechanisms, and a optimism for AI's future.
 • Nathan Lambert
1:00:11
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