Interconnects – Details, episodes & analysis

Podcast details

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Interconnects

Nathan Lambert

Technology

Science

Frequency: 1 episode/6d. Total Eps: 158

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

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Apple Podcasts

🇫🇷 France - technology
25/07/2026
#69
🇺🇸 USA - technology
24/07/2026
#95
🇺🇸 USA - technology
23/07/2026
#85
🇨🇦 Canada - technology
17/06/2026
#95
🇫🇷 France - technology
03/03/2026
#94
🇫🇷 France - technology
09/02/2026
#94
🇬🇧 Great Britain - technology
06/02/2026
#82
🇺🇸 USA - technology
06/02/2026
#90
🇺🇸 USA - technology
04/02/2026
#93
🇬🇧 Great Britain - technology
03/02/2026
#85

Spotify

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Shared links between episodes and podcasts

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https://www.interconnects.ai/subscribe?utm_medium=podcast&#38
153 shares
https://substackcdn.com/image/fetch/f_auto
16 shares
https://www.interconnects.ai/t/interviews
15 shares

https://github.com/natolambert/interconnects-tools
92 shares
https://github.com/FanaHOVA/smol-podcaster
4 shares
https://github.com/allenai/open-instruct
3 shares

https://www.youtube.com/@interconnects
19 shares
https://youtu.be/CAaHAfCqrBA
2 shares
https://youtube.com/watch?v=ugvHCXCOmm4&#38
2 shares

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RSS feed quality

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Score global : 59%

Publication history

Monthly episode publishing history over the past years.

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(Voiceover) OpenAI's o3: The grand finale of AI in 2024

Friday, December 20, 2024 • Duration 17:58

Original post:

https://www.interconnects.ai/p/openais-o3-the-2024-finale-of-ai

Chapters

00:00 Introduction

02:51 o3 overview

05:57 Solving the Abstraction and Reasoning Corpus (ARC)

10:41 o3’s architecture, cost, and training (hint: still no tree search)

16:36 2024: RL returns

Figures

Fig 1, Frontier Math results

Fig 2, Coding results

Fig 3, ARC AGI results

Fig 4, ARC AGI result details

Fig 5, ARC AGI example 1

Fig 6, ARC AGI example in text

Fig 7, ARC AGI example “easy”

This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit www.interconnects.ai/subscribe

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(Voiceover) The AI agent spectrum

Wednesday, December 18, 2024 • Duration 11:00

Original post: https://www.interconnects.ai/p/the-ai-agent-spectrum

Chapters

00:00 Introduction

03:24 Agent cartography

08:02 Questions for the near future

Figures

Fig 1. multiple feedbacks diagram

This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit www.interconnects.ai/subscribe

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Interviewing Andrew Carr of Cartwheel on the State of Generative AI

Thursday, October 31, 2024 • Duration 54:10

Andrew Carr is co-founder and chief scientist at Cartwheel, where he is building text-to-motion AI models and products for gaming, film, and other creative endeavors. We discuss how to keep generative AI fun and expansive — niche powerful use-cases, AI poetry, AI devices like Meta RayBans, generalization to new domains like robotics, and building successful AI research cultures.

Andrew is one of my well read friends on the directions AI is going, so it is great to bring him in for an official conversation. He spent time at OpenAI working on Codex, Gretel AI, and is an editor for the TLDR AI Newsletter.

Listen on Apple Podcasts, Spotify, YouTube, and where ever you get your podcasts. For other Interconnects interviews, go here.

Show Notes

Named entities and papers mentioned in the podcast transcript:

* Codex and GitHub Copilot

* Gretel AI

* TLDR AI Newsletter

* Claude Computer Use

* Blender 3D simulator

This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit

(Voiceover) Why I build open language models

Wednesday, October 30, 2024 • Duration 10:19

Full post:

https://www.interconnects.ai/p/why-i-build-open-language-models

This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit www.interconnects.ai/subscribe

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(Voiceover) Claude's agentic future and the current state of the frontier models

Wednesday, October 23, 2024 • Duration 11:23

How Claude's computer use works. Where OpenAI, Anthropic, and Google all have a lead on eachother.

Original post: https://www.interconnects.ai/p/claudes-agency

Chapters

00:00 Claude's agentic future and the current state of the frontier models

04:43 The state of the frontier models

04:49 1. Anthropic has the best model we are accustomed to using

05:27 Google has the best small & cheap model for building automation and basic AI engineering

08:07 OpenAI has the best model for reasoning, but we don’t know how to use it

09:12 All of the laboratories have much larger models they’re figuring out how to release (and use)

10:42 Who wins?

Figures

Fig 1, Sonnet New Benchmarks: https://substackcdn.com/image/fetch/w_1456,c_limit,f_webp,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F5d2e63ff-ac9f-4f8e-9749-9ef2b9b25b6c_1290x1290.png

Fig 2, Sonnet Old Benchmarks: https://substackcdn.com/image/fetch/f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F4bccbd4d-f1c8-4a38-a474-69a3df8a4448_2048x1763.png

Get Interconnects (https://www.interconnects.ai/)...

This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit

Interviewing Arvind Narayanan on making sense of AI hype

Thursday, October 17, 2024 • Duration 54:21

Arvind Narayanan is a leading voice disambiguating what AI does and does not do. His work, with Sayash Kapoor at AI Snake Oil, is one of the few beacons of reasons in a AI media ecosystem with quite a few bad Apples. Arvind is a professor of computer science at Princeton University and the director of the Center for Information Technology Policy. You can learn more about Arvind and his work on his website, X, or Google Scholar.

This episode is all in on figuring out what current LLMs do and don’t do. We cover AGI, agents, scaling laws, autonomous scientists, and past failings of AI (i.e. those that came before generative AI took off). We also briefly touch on how all of this informs AI policy, and what academics can do to decide on what to work on to generate better outcomes for technology.

Transcript and full show notes: https://www.interconnects.ai/p/interviewing-arvind-narayanan

Chapters

* [00:00:00] Introduction

* [00:01:54] Balancing being an AI critic while recognizing AI's potential

* [00:04:57] Challenges in AI policy discussions

* [00:08:47] Open source foundation models and their risks

* [00:15:35] Personal use cases for generative AI

* [00:22:19] CORE-Bench and evaluating AI scientists

* [00:25:35] Agents and artificial general intelligence (AGI)

* [00:33:12] Scaling laws and AI progress

This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit

(Voiceover) Building on evaluation quicksand

Wednesday, October 16, 2024 • Duration 16:36

Read the full post here: https://www.interconnects.ai/p/building-on-evaluation-quicksand

Chapters

00:00 Building on evaluation quicksand

01:26 The causes of closed evaluation silos

06:35 The challenge facing open evaluation tools

10:47 Frontiers in evaluation

11:32 New types of synthetic data contamination

13:57 Building harder evaluations

Figures

Fig 1: https://huggingface.co/datasets/natolambert/interconnects-figures/resolve/main/manual/openai-predictions.webp

This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit www.interconnects.ai/subscribe

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Interviewing Andrew Trask on how language models should store (and access) information

Thursday, October 10, 2024 • Duration 01:00:12

Andrew Trask is one of the bright spots in engaging with AI policy for me in the last year. He is a passionate idealist, trying to create a future for AI that enables privacy, academic research, and government involvement in a rapidly transforming ecosystem. Trask is a leader of the OpenMined organization facilitating researcher access to non-public data and AIs, a senior research scientist at Google DeepMind, a PhD student at the University of Oxford, an author and educator on Deep Learning.

You can find more about Trask on Twitter or Google Scholar. You may want to watch his recent talk at Cohere on the future of AI (and why data breakthroughs dominate), his lecture at MIT on privacy preserving ML, or his book on deep learning that has a substantial GitHub component. Here’s a slide I liked from his recent Cohere talk:

The organization he helps run, OpenMined, has a few principles that say a lot about his ambitions and approaches to modern AI:

We believe we can inspire all data owners to open their data for research by building open-source privacy software that empowers them to receive more benefits (co-authorships, citations, grants, etc.) while mitigating risks related to privacy, security, and IP.

We cover privacy of LLMs, retrieval LLMs, secure enclaves, o1, Apple's new models, and many more topics.

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[Article Voiceover] AI Safety's Crux: Culture vs. Capitalism

Wednesday, October 2, 2024 • Duration 10:29

SB1047's veto, OpenAI's turnover, and a constant treadmill pushing AI startups to be all too similar to big technology name brands.
This is AI generated audio with Python and 11Labs.
Source code: https://github.com/natolambert/interconnects-tools
Original post: https://www.interconnects.ai/p/ai-safety-culture-vs-capitalism

00:00 AI Safety's Crux: Culture v Capitalism
06:03 SB1047 as a regulatory litmus test for AI safety
08:36 Capitalism at the helm

This is a public episode. If you'd like to discuss this with other subscribers or get access to bonus episodes, visit www.interconnects.ai/subscribe

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Interconnects – Details, episodes & analysis

Podcast details

Recent rankings

Apple Podcasts

Spotify

Shared links between episodes and podcasts

RSS feed quality and score

Publication history

Latest published episodes

Related Shows Based on Content Similarities

Apple Podcasts

Spotify

Related Shows Based on Content Similarities

Interconnects – Details, episodes & analysis

Podcast details

Recent rankings

Apple Podcasts

Spotify

Shared links between episodes and podcasts

Other99+

Github50

Youtube39

RSS feed quality and score

Publication history

Latest published episodes

Similar podcasts and content

Related Shows Based on Content Similarities

Apple Podcasts

Spotify

Related Shows Based on Content Similarities

Other99+

Github50

Youtube39