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 | 121 | Founded | 2 years ago |
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Number of Listeners | Categories | TechnologyScience |
This talk covers everything that’s happened this year in the open model landscape — DeepSeek kickstarting the Chinese open model norms, Llama’s fade, Qwen’s dominance, GPT-OSS — and what comes next. It is my attempt to share what people need to know ... more
I spent the weekend debating AI timelines, among other things, at The Curve conference. This translates as spending the weekend thinking about the trajectory of AI progress with a mix of DC and SF types. This is a worthwhile event that served as a gr... more
Ever since ChatGPT exploded in popularity, there has been a looming “how” to its monetization plans. Much has been said about shopping and advertising as the likely paths, especially with Fidji Simo joining as CEO of Applications under Sam Altman.
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The weaknesses of today’s best models are far from those of the original ChatGPT — we see they lack speed, we fear superhuman persuasion, and we aspire for our models to be more autonomous. These models are all reasoning models that have long surpass... 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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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. Machine Learning Street Talk (MLST)
2. No Priors: Artificial Intelligence | Technology | Startups
3. Training Data
4. Dwarkesh Podcast
5. The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
Interconnects launched 2 years ago and published 121 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. Ross Taylor
2. Amanda Askell
3. Finbarr Timbers
4. Arvind Narayanan
5. Riley Goodside
6. Sebastian Raschka
7. Dean Ball
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