
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 | 128 | Founded | 2 years ago |
|---|---|---|---|---|---|
| Number of Listeners | Categories | ScienceTechnology | |||

It’s finally here! The public (and most complete) version of my talk covering every stage of the process to build Olmo 3 Think (slides are available). I’ve been giving this, improving it, and getting great feedback at other venues such as The Confere... more
We present Olmo 3, our next family of fully open, leading language models. This family of 7B and 32B models represents:
* The best 32B base model.
* The best 7B Western-origin thinking & instruct models.
* The first 32B (or larger) fully open reas... more
First, on the topic of writing, the polished, and more importantly printed, version of my RLHF Book is available for pre-order. It’s 50% off for a limited time, you can pre-order it here!
Like a lot of writing, I’ve been sitting on this piece for m... more
This is the first of a handful of interviews I’m doing with teams building the best open language models of the world. In 2025, the open model ecosystem has changed incredibly. It’s more populated, far more dominated by Chinese companies, and growing... 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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Apple Podcasts | #121 |
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Exploring the forefront of artificial intelligence, the content emphasizes a blend of in-depth analysis and personal narratives around recent advancements. Episodes frequently feature interviews with renowned scientists, providing insights into the mechanics of AI technologies and debunking common myths. Notably, the discussions revolve around practical applications, emerging trends, and the ethical implications of AI innovations, making it valuable for listeners keen on understanding the complexities of this rapidly evolving field. This program aims to present AI developments in a relatable manner, encouraging engagement from both industry professionals and general audiences interested in technology and science.
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These podcasts share a similar audience with Interconnects:
1. Dwarkesh Podcast
2. Machine Learning Street Talk (MLST)
3. Training Data
4. No Priors: Artificial Intelligence | Technology | Startups
5. a16z Show
Interconnects launched 2 years ago and published 128 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. Richard Bian
2. Chen Liang
3. Ziqi Liu
4. Ross Taylor
5. Amanda Askell
6. Finbarr Timbers
7. Arvind Narayanan
8. Riley Goodside
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