Interconnects
Un podcast de Nathan Lambert
109 Épisodes
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(Voiceover) OpenAI's o3: The grand finale of AI in 2024
Publié: 20/12/2024 -
(Voiceover) The AI agent spectrum
Publié: 18/12/2024 -
(Voiceover) OpenAI's Reinforcement Finetuning and RL for the masses
Publié: 11/12/2024 -
Interviewing Finbarr Timbers on the "We are So Back" Era of Reinforcement Learning
Publié: 05/12/2024 -
(Voiceover) OpenAI's o1 using "search" was a PSYOP
Publié: 04/12/2024 -
(Voiceover) OLMo 2 and building effective teams for training language models
Publié: 26/11/2024 -
(Voiceover) Tülu 3: The next era in open post-training
Publié: 21/11/2024 -
(Voiceover) Scaling realities
Publié: 14/11/2024 -
(Voiceover) Saving the National AI Research Resource & my AI policy outlook
Publié: 13/11/2024 -
Interviewing Tim Dettmers on open-source AI: Agents, scaling, quantization and what's next
Publié: 07/11/2024 -
Interviewing Andrew Carr of Cartwheel on the State of Generative AI
Publié: 31/10/2024 -
(Voiceover) Why I build open language models
Publié: 30/10/2024 -
(Voiceover) Claude's agentic future and the current state of the frontier models
Publié: 23/10/2024 -
Interviewing Arvind Narayanan on making sense of AI hype
Publié: 17/10/2024 -
(Voiceover) Building on evaluation quicksand
Publié: 16/10/2024 -
Interviewing Andrew Trask on how language models should store (and access) information
Publié: 10/10/2024 -
How scaling changes model behavior
Publié: 09/10/2024 -
[Article Voiceover] AI Safety's Crux: Culture vs. Capitalism
Publié: 02/10/2024 -
Interviewing Riley Goodside on the science of prompting
Publié: 30/09/2024 -
[Article Voiceover] Llama 3.2 Vision and Molmo: Foundations for the multimodal open-source ecosystem
Publié: 27/09/2024
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
