
Demystifying AI for the intelligently curious
| Publishes | Weekly | Episodes | 306 | Founded | 12 years ago |
|---|---|---|---|---|---|
| Number of Listeners | Category | Technology | |||

Context windows are powerful — but finite, and surprisingly easy to overwhelm. When an AI agent is tackling a long, complex task, the information it needs has to fit inside that limited real estate, and research shows that anything buried in the midd... more
Just like a memorable talk lives or dies by its opening and closing, LLMs have a surprisingly similar quirk: they pay close attention to what's at the beginning and end of their context window — and kind of zone out in the middle. This "lost in the m... more
Before 2022, there was a wall between AI and the real world — models could reason impressively, but couldn't look anything up, run code, or check whether anything they said was actually true. This episode traces the moment that wall came down, throug... more
AI agents are having a moment — and unpacking them properly takes more than a single conversation. This episode kicks off a dedicated multi-part season exploring AI agents from every angle, building up a complete picture piece by piece rather than sk... 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
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How this podcast ranks in the Apple Podcasts, Spotify and YouTube charts.
Apple Podcasts | #112 | |
Apple Podcasts | #147 | |
Apple Podcasts | #238 |
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 12 years ago and published 306 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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