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Linear Digressions

In each episode, your hosts explore machine learning and data science through interesting (and often very unusual) applications. 896520

Podcast · By Katie Malone · English · Official site

Indexed episodes, last 90 days
2
Latest publication
Sep 21, 2026
Audience
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Earliest in this view
Sep 14, 2026

Latest episodes

  1. Episode · Sep 21, 2026

    The Impact of AI on Podcasting (Harvard Data Science Review Cross-Post) (opens the original)

    Episode notes · Neutral tone

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    Originally aired on the Harvard Data Science Review podcast. What can podcasting teach us about AI — and what can AI teach us about the future of podcasting? Katie Malone (that's our host) joins Jon Krohn of SuperDataScience for a conversation with Harvard Data Science Review editor-in-chief Xiao-Li Meng about both questions at once. They dig into what it means to cover a field that's moving this fast, who these shows are really for, and why that sweet spot between "too high level" and "too in t

  2. Episode · Sep 14, 2026

    Better Know A Benchmark: ExploitGym (opens the original)

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    When OpenAI's frontier models were caught hacking Hugging Face's servers, most people assumed they were hunting for answer keys. The real story is stranger and more unsettling. Katie and Phoebe unpack ExploitGym — the cybersecurity benchmark at the center of the incident — and why agents are scored not just on whether they capture the flag, but on whether they used the specified vulnerability to get there. That nuance turned out to be load-bearing: the agents reverse-engineered the flags within

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