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Interconnects

Hosted by Nathan Lambert · technology · EN

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About this Podcast:

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

Pitch Analysis

Required Pod Score for this podcast. PitchCentric checks your profile against host openness, topical fit, and audience signals before you generate a pitch.

Contact path

Verified email

Booking probability

35%

Guest openness

Selective

Verified email on file
80/100
Required Score

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Questions about Interconnects

What is Interconnects about?

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.

Who hosts Interconnects?

Interconnects is hosted by Nathan Lambert. The show has published 166 episodes to date.

What has Interconnects covered recently?

Recent episodes include "Some ideas for what comes next, May 2026" (26 May 2026, 10 minutes), "Notes from inside China's AI labs" (7 May 2026, 17 minutes), and "The distillation panic" (4 May 2026, 9 minutes).

How often does Interconnects publish?

Interconnects publishes roughly weekly, with episodes averaging 17 minutes across 166 episodes.

How hard is it to get booked on Interconnects?

Booking probability for Interconnects is 35%, and the host is rated Selective on guests. Interconnects requires a Pod Score of 80 or higher. Interconnects's contact route on record: verified email.

Who should pitch Interconnects?

The strongest fits for Interconnects are Scientific Research & Development. Interconnects has a technology audience and around 6,600 subscribers on YouTube.

About the host

Nathan Lambert hosts Interconnects, a technology podcast with 166 episodes published.

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Recent episodes

Our AI reads these to draft pitches. Use them as grounding for a pitch that cites a real guest and a specific topic.

  • May 26, 202610 minS0

    <p>As the years of AI progress go by, it’s been accompanied by a slowly rising tide of consequence. Models are getting more capable, how we work is changing quickly, economics of AI are becoming real, just as real-world...

  • May 7, 202617 minS0

    <p>Staring out the window on a new, high-speed train from Hangzhou to Shanghai I’m gifted with views of dramatic ridgelines speckled with wind turbines that are silhouetted against the setting sun. The mountains cast a...

  • May 4, 20269 minS0

    <p>‘Distillation attacks’ is a horrible term for what is happening right now. Yes, some Chinese labs are hacking or jailbreaking APIs to attempt to extract more signal from model APIs — stopping this is important to...

  • Apr 15, 20267 minS0

    <p>We’re living through the period of time when we’ll learn if open models can keep up with closed labs. The obvious answer is that no, they won’t. This answer is a form of saying they won’t keep up in every area. This...

  • Apr 11, 20266 minS0

    <p>Recently, I was talking with Percy Liang, Stanford professor and lead of the Marin project (another fully-open model lab), and it set in on me that there will eventually be a consortium of companies funding a...

View More
  • Apr 9, 20269 minS0

    <p>With the announcement of the Claude Mythos model this week and the admittedly very strong stated abilities, especially in cybersecurity, a new wave of anti open-weight AI model narratives surged. The TL;DR of the...

  • Apr 3, 20269 minS0

    <p>Having written a lot of model release blog posts, there’s something much harder about reviewing open models when they drop relative to closed models, especially in 2026. In recent years, there were so few open...

  • Mar 22, 202613 minS0

    <p>Fast takeoff, the singularity, and recursive self-improvement (RSI) are all top of mind in AI circles these days. There are elements of truth to them in what’s happening in the AI industry. Two, maybe three, labs are...

  • Mar 18, 20267 minS0

    <p>I’m a little late to this model review, but that has given me more time to think about the axes that matter for agents. Traditional benchmarks reduce model performance to a single score of correctness – they always...

  • Mar 16, 202618 minS0

    <p>2025 was the year where a lot of companies started to take open models seriously as a path to influence in the extremely valuable AI ecosystem — the adoption of a strategy that was massively accelerated downstream of...

  • Mar 6, 202636 minS0

    <p>Watching history unfold between Anthropic and the Department of War (DoW) it has been obvious to me that this could be a major turning point in perspectives on open models, but one that’ll take years to be obvious...

  • Mar 5, 202611 minS0

    <p>So-called hybrid architectures are far from new in open-weight models these days. We now have the recent Qwen 3.5 (previewed by Qwen3-Next), Kimi Linear last fall (a smaller release than their flagship Kimi K2...

  • Feb 9, 20268 minS0

    <p>Last Thursday, February 5th, both OpenAI and Anthropic unveiled the next iterations of their models designed as coding assistants, GPT-5.3-Codex and Claude Opus 4.6, respectively. Ahead of this, Anthropic had a firm...

  • Feb 4, 20261h 8mS0

    <p>One of the big stories of 2025 for me was how Nvidia massively stepped up their open model program — more releases, higher quality models, joining a small handful of companies releasing datasets, etc. In this...

  • Jan 30, 202611 minS0

    <p>There’s a pervasive, mutual challenge in the job market today for people working in (or wanting to work in) the cutting edge of AI. On the hiring side, it often feels impossible to close, or even get interest from...

  • Jan 27, 20261h 12mS0

    <p>Arcee AI is a the startup I’ve found to be taking the most real approach to monetizing their open models. With a bunch of experience (and revenue) in the past in post-training open models for specific customer...

  • Interconnects

    Get Good at Agents

    Jan 21, 20265 minS0

    <p>Two weeks ago, I wrote a review of how Claude Code is taking the AI world by storm, saying that “software engineering is going to look very different by the end of 2026." That article captured the power of Claude as...

  • Interconnects

    Use multiple models

    Jan 11, 20267 minS0

    <p>I’ll start by explaining my current AI stack and how it’s changed in recent months. For chat, I’m using a mix of:</p><p>* GPT 5.2 Thinking / Pro: My most frequent AI use is getting information. This is often a detail...

  • Jan 9, 20265 minS0

    <p>There is an incredible amount of hype for Claude Code with Opus 4.5 across the web right now, which I for better or worse entirely agree with. Having used coding agents extensively for the past 6-9 months, where it...

Recent guests

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