
Demystifying AI for the intelligently curious
| Publishes | Weekly | Episodes | 322 | Founded | 12 years ago |
|---|---|---|---|---|---|
| Number of Listeners | Category | Technology | |||

Tom Davenport — the man who called data science "the sexiest job of the 21st century" — is back with a reality check on AI. As one of the most seasoned observers of how businesses actually adopt transformative technology, Davenport brings a rare, wel... more
Anthropic just announced they're baking invisible watermarks directly into Claude's generated text — and while everyone else was busy having opinions about it, we were busy asking the more interesting question: how does it actually work? Turns out it... more
Humanity's Last Exam was designed with a bold premise: questions that human experts can answer, but AI models can't. Originally dubbed "Humanity's Last Stand," this benchmark is a massive academic collaboration — hundreds of contributors, thousands o... more
When a language model tells you it's absolutely certain, is it actually more likely to be right? Kaitlyn Zhou's research says: not necessarily — sometimes confident phrasing correlates with *worse* accuracy, echoing a very human Dunning-Kruger effect... more
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It’s great to have the crew back again- they’ve been missed.
Super excited to hear from you guys again! Hello Katie and Phoebe ! Thank you for doing such an awesome podcast summarizing the LLM world for us .
Used to really enjoy this podcast back in the day. I sometimes wonder what they think about the all the changes the last last five years.
A very informative podcast about the field of datascience. Very pensant to listen.
Yep
Key themes from listener reviews, highlighting what works and what could be improved about the show.
How this podcast ranks in the Apple Podcasts, Spotify and YouTube charts.
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Listeners, social reach, demographics and more for this podcast.
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A data-science and AI-focused show that explains concepts in an approachable, conversational style. Episodes cover a wide range of topics from statistical methods and machine learning fundamentals to practical AI applications, with hosts breaking down complex ideas into digestible takeaways and real-world implications. Listeners likely appreciate clear explanations, practical examples, and thoughtful discussions about design, ethics, and the impact of AI on work and society. A standout aspect is the balance between technical depth and accessible storytelling, making it suitable for both practitioners and curious non-specialists. The show often ties concepts to current industry trends and hands-on guidance for applying data science technique... more
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These podcasts share a similar audience with Linear Digressions:
1. Super Data Science: ML & AI Podcast with Jon Krohn
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3. No Priors: Artificial Intelligence | Technology | Startups
4. Last Week in AI
5. Odd Lots
Linear Digressions launched 12 years ago and published 322 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 Linear Digressions include:
1. Kaitlyn Zhou
2. Chris Potts
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