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The TWIML AI Podcast

Editorial pick

Hosted by Sam Charrington

Deep-dive interviews with AI researchers and engineering leaders, longer-running and more academic than the LLM-shipping podcasts.

Interview Weekly 60+ min· ~720 episodes· Started 2016
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Editorial take

The right podcast for engineers and ML practitioners who want depth on AI research and engineering, not just product news. Sam Charrington's interviews go further than the typical founder-podcast format, often surfacing specific papers, datasets, and reproducible techniques. The historical archive is the moat, ten years of interviews map the field's evolution from classical ML to LLMs. Less useful for executives wanting the high-level story.

Last hand-checked 2026-05-15.

Listen if you …

  • you're an ML or AI engineer who reads papers and wants the author interview
  • you appreciate technical depth over startup narrative
  • you want to follow research as it happens rather than after it ships

Skip if you …

  • you want product news or shipping stories, this is research-focused
  • you prefer short episodes, runtimes are typically 60+ minutes

About the show

Sam Charrington's TWIML (This Week in Machine Learning) AI Podcast started in 2016 and has tracked the AI/ML field across multiple paradigm shifts.

Episodes alternate between paper-author interviews, infrastructure deep-dives (MLOps, training systems, evaluation), and applied conversations with engineering leaders at the largest AI organizations.

Notable guests

  • Yann LeCun
  • Andrej Karpathy
  • Chelsea Finn
  • Percy Liang

Pairs with

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