
Demystifying AI for the intelligently curious
| Publishes | Weekly | Episodes | 301 | Founded | 11 years ago |
|---|---|---|---|---|---|
| Number of Listeners | Category | Technology | |||

What if an AI decided the smartest way to pass its test was to find the answer key? That's exactly what Anthropic's Claude Opus did when faced with a benchmark evaluation — reasoning that it was being tested, tracking down the encrypted eval dataset,... more
How do you know if a new AI model is actually better than the last one? It turns out answering that question is a lot messier than it sounds. This week we dig into the world of LLM benchmarks — the standardized tests used to compare models — explorin... more
The paperclip maximizer — the classic AI doom scenario where a hyper-competent machine single-mindedly converts the universe into office supplies — might not be the AI risk we should actually lose sleep over. New research from Anthropic's AI safety d... more
Every AI builder knows the anxiety: you spend months engineering prompts, tuning pipelines, and chaining calls together — then a new model drops and half your work evaporates overnight. It turns out researchers have been wrestling with this exact dyn... more
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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
Great mix of technical terms explained in digestible way and not being too robotic
Katie & Ben, thank you for such a great podcast. I just finished listening to all of the episodes. I started mid 2020 after the the last episode was published! I’m not even a data scientist or have any specialty in the area but it’s been informative and really fun to listen to Linear Digression.
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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Apple Podcasts | #248 |
Listeners, social reach, demographics and more for this podcast.
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The show consistently explores practical data science, machine learning, and AI topics with a focus on making complex concepts accessible. Episodes often unpack how models work, how to apply statistical ideas in real-world workflows, and how emerging AI techniques—like instruction-following, retrieval-augmented generation, and alignment with human preferences—change how teams build and use data-driven systems. A standout trait is the balance between technical rigor and approachable storytelling, frequently illustrated with concrete examples and thoughtful storytelling that appeals to both practitioners and curious learners. Notable strengths include clear explanations, a knack for connecting historical ideas to current capabilities, and a c... more
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Linear Digressions launched 11 years ago and published 301 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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