Interconnects
En podcast af Nathan Lambert
109 Episoder
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Managing frontier model training organizations (or teams)
Udgivet: 19.3.2025 -
Gemma 3, OLMo 2 32B, and the growing potential of open-source AI
Udgivet: 13.3.2025 -
Interviewing Eugene Vinitsky on self-play for self-driving and what else people do with RL
Udgivet: 12.3.2025 -
Elicitation, the simplest way to understand post-training
Udgivet: 10.3.2025 -
Where inference-time scaling pushes the market for AI companies
Udgivet: 5.3.2025 -
GPT-4.5: "Not a frontier model"?
Udgivet: 28.2.2025 -
Character training: Understanding and crafting a language model's personality
Udgivet: 26.2.2025 -
Claude 3.7 thonks and what's next for inference-time scaling
Udgivet: 24.2.2025 -
Grok 3 and an accelerating AI roadmap
Udgivet: 18.2.2025 -
An unexpected RL Renaissance
Udgivet: 13.2.2025 -
Deep Research, information vs. insight, and the nature of science
Udgivet: 12.2.2025 -
Making the U.S. the home for open-source AI
Udgivet: 5.2.2025 -
Why reasoning models will generalize
Udgivet: 28.1.2025 -
Interviewing OLMo 2 leads: Open secrets of training language models
Udgivet: 22.1.2025 -
DeepSeek R1's recipe to replicate o1 and the future of reasoning LMs
Udgivet: 21.1.2025 -
Let me use my local LMs on Meta Ray-Bans
Udgivet: 15.1.2025 -
(Voiceover) DeepSeek V3 and the actual cost of training frontier AI models
Udgivet: 9.1.2025 -
The state of post-training in 2025
Udgivet: 8.1.2025 -
Quick recap on the state of reasoning
Udgivet: 2.1.2025 -
(Voiceover) 2024 Interconnects year in review
Udgivet: 31.12.2024
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
