Linear Digressions
Katie MaloneDemystifying AI for the intelligently curious
| Publishes | Weekly | Episodes | 332 | Founded | 12 years ago |
|---|---|---|---|---|---|
| Number of Listeners | Category | Technology | |||
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Latest Episodes
GPUs are the engines powering every AI conversation you've ever had — but what's actually happening inside those chips when an LLM generates a response? Understanding GPU fundamentals turns out to be surprisingly useful for making sense of why infere... more
The unsung hero of every LLM conversation you've ever had? A clever optimization called the KV cache. Self-attention is computationally brutal — every token attending to every other token means costs that scale as N², and that blowup gets worse with ... more
Everyone talks about training the model — the data, the compute, the alignment magic. But what happens after the weights are frozen and millions of users start hammering it with prompts? That's inference, and it's a surprisingly deep rabbit hole of e... more
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Reviews
- A welcome return
It’s great to have the crew back again- they’ve been missed.
Apple Podcasts5Endoid
Germany8 months ago - My fav podcast is back !!
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 .
Apple Podcasts5Athews93
Singapore8 months ago - Reminiscing
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.
Apple Podcasts5bob2457;654765
United States2 years ago A very informative podcast about the field of datascience. Very pensant to listen.
Podcast Addict55 years agotgits- It’s alright
Yep
Apple Podcasts4whatever-trevor
Canada5 years ago
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Chart Rankings
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Apple Podcasts | #205 | United States/Technology |
Apple Podcasts | #199 |  United Kingdom/Technology |
Apple Podcasts | #188 |  France/Technology |
Apple Podcasts | #217 |  Australia/Technology |
Apple Podcasts | #73 |  Norway/Technology |
Apple Podcasts | #104 |  Sweden/Technology |
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Frequently Asked Questions About Linear Digressions
What is Linear Digressions about and what kind of topics does it cover?
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
Where can I find podcast stats for Linear Digressions?
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How many listeners does Linear Digressions get?
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What are the audience demographics for Linear Digressions?
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How many subscribers and views does Linear Digressions have?
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Which podcasts are similar to Linear Digressions?
These podcasts share a similar audience with Linear Digressions:
1. Super Data Science: ML & AI Podcast with Jon Krohn
2. DataFramed
3. The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
4. Dwarkesh Podcast
5. Practical AI
How many episodes of Linear Digressions are there?
Linear Digressions launched 12 years ago and published 332 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.
How do I contact Linear Digressions?
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Where can I see ratings and reviews for Linear Digressions?
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What guests have appeared on Linear Digressions?
Recent guests on Linear Digressions include:
1. Chris Ola
2. Katie Malone
3. Jon Krohn
4. Tom Davenport
5. Kaitlyn Zhou
6. Chris Potts
To view more recent guests and their details, simply upgrade your Rephonic account. You'll also get access to a typical guest profile to help you decide if the show is worth pitching.