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Linear Digressions

Katie Malone
Artificial Intelligence
Deep Reinforcement Learning
Alignment Training
Openai
Reinforcement Learning
Human Preferences
Context Window
Machine Learning
Data Science
Large Language Models
Google Deepmind
Multi-Agent Systems
Generative AI
AI Agents
Synergizing Reasoning and Acting In Language Models
Tree Of Thoughts
Verbalized Sampling
Atari Games
Robot Backflips
Critical Thinking

Demystifying AI for the intelligently curious

PublishesWeeklyEpisodes310Founded12 years ago
Number of ListenersCategory
Technology

Listen to this Podcast

Artwork for Linear Digressions

Latest Episodes

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When tackling a complex, multi-step task, even the smartest AI agent can fail without a solid game plan. This episode dives into the research around agentic planning — how agents move beyond simply reacting to what's in front of them and instead mode... more

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Host

Katie
Host of Linear Digressions; co-anchored discussions that translate data science concepts into practical insights.

Reviews

4.8 out of 5 stars from 663 ratings
  • A welcome return

    It’s great to have the crew back again- they’ve been missed.

    Apple Podcasts
    5
    Endoid
    Germany3 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 Podcasts
    5
    Athews93
    Singapore3 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 Podcasts
    5
    bob2457;654765
    United Statesa year ago
  • A very informative podcast about the field of datascience. Very pensant to listen.

    Podcast Addict
    5
    tgits
    4 years ago
  • It’s alright

    Yep

    Apple Podcasts
    4
    whatever-trevor
    Canada4 years ago

Listeners Say

Key themes from listener reviews, highlighting what works and what could be improved about the show.

Listeners praise the approachable yet rigorous explanations and the dynamic host pairing.
Many reviews emphasize the consistency and breadth of topics, from foundational data science to cutting-edge AI methods.
Listeners appreciate beginner-friendly episodes that still offer technical depth and practical takeaways.
Audiences highlight the show's ability to teach complex AI topics through real-world examples and engaging conversations.

Chart Rankings

How this podcast ranks in the Apple Podcasts, Spotify and YouTube charts.

Apple Podcasts
#158
United Kingdom/Technology
Apple Podcasts
#119
Norway/Technology
Apple Podcasts
#153
Brazil/Technology
Apple Podcasts
#171
Israel/Technology
Apple Podcasts
#192
Belgium/Technology
Apple Podcasts
#209
Saudi Arabia/Technology

Audience Metrics

Listeners, social reach, demographics and more for this podcast.

Listeners per EpisodeGender SkewLocation
InterestsProfessionsAge Range
Household IncomeSocial Media Reach

Frequently Asked Questions About Linear Digressions

What is Linear Digressions about and what kind of topics does it cover?

This show consistently explores practical AI, data science, and machine learning concepts through approachable conversations between two seasoned hosts. Across episodes, listeners encounter clear explanations of complex topics—from AI planning and multi-agent systems to retrieval-augmented generation and memory management—paired with real-world examples and thoughtful digressions. The tone stays accessible and engaging, often bridging theory with hands-on implications for professionals building or using AI-powered tools. A standout quality is the host dynamic: they balance rigorous, technical discussion with lively storytelling and approachable prompts that make cutting-edge topics digestible for a broad audience.

Listeners likely value pr... more

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How many listeners does Linear Digressions get?

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How many episodes of Linear Digressions are there?

Linear Digressions launched 12 years ago and published 310 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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