
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
| Publishes | Weekly | Episodes | 143 | Founded | 2 years ago |
|---|---|---|---|---|---|
| Number of Listeners | Categories | ScienceTechnology | |||

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 models, so when Llama 3 was released mos... more
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 consolidating as an oligopoly wit... more
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 have because that was simple, easy ... more
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 DeepSeek R1’s breakout success. M... more
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I listen to many AI podcasts, and this makes the top 5, along with Robot Brains, ML Street Talk, No Priors, Lex Fridman, and TwiML. Nathan captures the most important LLM trends better than anyone else and has a strong POV - I also subscribe to his paid Substack. Highly recommended.
Sounds like a robot is reading a bullet point list. Is this a podcast or something else… I can’t figure out
I’m interested in LLM but don’t have a lot of time to read? This show is the way to keep up to date with the information on Interconnects without the need to jump into Substack.
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The show covers the cutting edge of AI with a mix of analytical essays and interviews with researchers and industry figures. Recent episodes scrutinize topics like model distillation, open/open-source AI frameworks, and the evolving landscape of coding assistants and agents, often weighing hype against practical capabilities. Guests frequently discuss open model ecosystems, industry dynamics between U.S. and Chinese AI efforts, and practical implications for developers, researchers, and organizations looking to deploy or sponsor AI content. A notable pattern is a preference for transparency, hands-on evaluation, and real-world usability over purely benchmark-driven claims, making the discourse useful for listeners who want actionable takeaw... more
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These podcasts share a similar audience with Interconnects:
1. Latent Space: The AI Engineer Podcast
2. Machine Learning Street Talk (MLST)
3. No Priors: Artificial Intelligence | Technology | Startups
4. Training Data
5. Dwarkesh Podcast
Interconnects launched 2 years ago and published 143 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.
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Recent guests on Interconnects include:
1. Will Merrill
2. Finbar Timbers
3. Richard Bian
4. Chen Liang
5. Ziqi Liu
6. Amanda Askell
7. Finbarr Timbers
8. Arvind Narayanan
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