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Nathan Lambert · Technology

Interconnects

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

Episodes

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(Voiceover) OLMo 2 and building effective teams for training language models

26 Nov 2024
10m
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(Voiceover) Tülu 3: The next era in open post-training

21 Nov 2024
7m
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(Voiceover) Scaling realities

14 Nov 2024
4m
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(Voiceover) Saving the National AI Research Resource & my AI policy outlook

13 Nov 2024
11m
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Interviewing Tim Dettmers on open-source AI: Agents, scaling, quantization and what's next

07 Nov 2024
1h 15m
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Interviewing Andrew Carr of Cartwheel on the State of Generative AI

31 Oct 2024
54m
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(Voiceover) Why I build open language models

30 Oct 2024
10m
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(Voiceover) Claude's agentic future and the current state of the frontier models

23 Oct 2024
11m
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Interviewing Arvind Narayanan on making sense of AI hype

17 Oct 2024
54m
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(Voiceover) Building on evaluation quicksand

16 Oct 2024
16m
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Interviewing Andrew Trask on how language models should store (and access) information

10 Oct 2024
1h 0m
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How scaling changes model behavior

09 Oct 2024
11m
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[Article Voiceover] AI Safety's Crux: Culture vs. Capitalism

02 Oct 2024
10m
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Interviewing Riley Goodside on the science of prompting

30 Sep 2024
1h 8m
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[Article Voiceover] Llama 3.2 Vision and Molmo: Foundations for the multimodal open-source ecosystem

27 Sep 2024
14m
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[Article Voiceover] Reverse engineering OpenAI's o1

17 Sep 2024
18m
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Futures of the data foundry business model

11 Sep 2024
11m
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A post-training approach to AI regulation with Model Specs

10 Sep 2024
5m
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OpenAI's Strawberry, LM self-talk, inference scaling laws, and spending more on inference

05 Sep 2024
10m
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OLMoE and the hidden simplicity in training better foundation models

04 Sep 2024
10m
Page 6

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