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Super Data Science: ML & AI Podcast with Jon Krohn

by Jon Krohn · 1,000 episodes

TechnologyScience

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The latest machine learning, A.I., and data career topics from across both academia and industry are brought to you by host Dr. Jon Krohn on the Super Data Science Podcast. As the quantity of data on our planet doubles every couple of years and with this trend set to continue for decades to come, there's an unprecedented opportunity for you to make a meaningful impact in your lifetime. In conversation with the biggest names in the data science industry, Jon cuts through hype to fuel that professional impact.Whether you're curious about getting started in a data career or...

Latest episodes

  1. 1039: AI for Real Estate, Walkable Cities and Climate Action, with Prof. John Renne

    In Episode #1039, Prof. John Renne (Professor of Real Estate and Urban Planning at Tulane University) joins Jon Krohn to describe what happens when a tenured full professor goes ba…

    1 h 27
  2. 1038: AI’s Contentious Math Breakthroughs

    In Episode #1038, Jon Krohn unpacks the remarkable and remarkably contentious run of mathematical results AI has produced in recent weeks, led by OpenAI’s claim to have cracked par…

    13 min
  3. 1037: Recursive Self-Improvement: The Eureka Machine, with Dr. Richard Socher

    In Episode #1037, Dr. Richard Socher (CEO and Co-Founder of Recursive) joins Jon Krohn to make the case for automating the scientific method itself. Richard’s startup came out of s…

    1 h 12
  4. 1036: Is AI Holding Kids Back from Learning?

    In Episode #1036, Jon Krohn digs into the question parents and teachers keep asking: does AI stop children from learning? Drawing on a wave of new studies, he shows the answer turn…

    13 min
  5. 1035: Workslop, Glass Cliffs and Inviting Your Fears to Tea, with Carly Taylor

    In Episode #1035, Carly Taylor (Founder of Rebel Data Science) returns to join Jon Krohn for a wide-ranging conversation about leading engineering teams when the ground keeps movin…

    1 h 07
  6. 1034: In Case You Missed It in September 2026

    In ICYMI Episode #1034, Jon Krohn moves from what sits underneath AI systems to what it takes to live with them every day. Hear from Aishwarya Srinivasan, Luis Serrano, Katie Malon…

    44 min
  7. 1033: Workslop: The Hidden Cost of AI-Generated Work, with Prof. Jeff Hancock and Dr. Kate Niederhoffer

    In Episode #1033, Prof. Jeff Hancock (Professor of Communication at Stanford) and Dr. Kate Niederhoffer (Chief Scientist at BetterUp) join Jon Krohn to explain the hidden cost of A…

    1 h 15
  8. 1032: Garbage In, Gospel Out: Agents Are Your New Customers, with Salesforce’s CDO Michael Andrew

    During their #sponsored discussion, Chief Data Officer at Salesforce Michael Andrew talks to Jon Krohn about what changes for a data team when its customers are AI agents as well a…

    28 min
  9. 1031: Tokenomics: Why Your Agentic AI Bill Is Exploding (and How to Fix It), with Tyler Cox and Ish Shah

    In Episode #1031, Ish Shah and Tyler Cox (Distinguished Engineers in the Office of the CTO for Dell Technologies' client group) join Jon Krohn to work out why agentic AI bills are…

    1 h 15
  10. 1030: Garbage In, Gospel Out: Why Agents Need Better Data, with Salesforce's Gaurav Pathak

    During their #sponsored discussion, Senior Vice President Product Management AI and Metadata at Salesforce, Gaurav Pathak talks to Jon Krohn about why AI agents need well-labeled,…

    23 min
  11. 1029: How AI Brought a Podcast Back From the Dead, with Linear Digressions’ Katie Malone

    In Episode #1029, Dr. Katie Malone (Host of Linear Digressions) joins Jon Krohn to explain how AI brought her podcast back from the dead. After nearly 300 episodes, Katie shut down…

    1 h 10
  12. 1028: The Chip Built for Agentic AI Inference, with SambaNova's Anton McGonnell

    In Episode #1028, Anton McGonnell (VP of Product at SambaNova) joins Jon Krohn to explain why the chips running most AI inference today were never designed for the job. Agentic AI…

    30 min
  13. 1027: Building an Always-On AI Agent for Busy Parents, with Dr. Dilani Kahawala

    In Episode #1027, Dr. Dilani Kahawala (Co-Founder and CEO of Anna) joins Jon Krohn to explain what it takes to build an always-on AI assistant that busy parents will trust with the…

    1 h 02
  14. 1026: OpenAI’s GPT-6 Astra

    In Episode #1026, Jon Krohn breaks down GPT-6 Astra, OpenAI’s new flagship that its president has floated as a possible marker of AGI. Jon covers what the model is, what it costs,…

    20 min
  15. 1025: Word Gravity: How Transformers Bend Space, with Dr. Luis Serrano

    In Episode #1025, Dr. Luis Serrano (Founder of Serrano Academy) joins Jon Krohn to explain the paper he co-authored on the curved spacetime of transformer architectures, in which a…

    1 h 10
  16. 1024: In Case You Missed It in August 2026

    In ICYMI Episode #1024, Jon Krohn tracks the gap between AI investment and AI return, from the technology side to the people side. Hear from Pete Johnson, Jerry Yurchisin, Priyanka…

    34 min
  17. 1023: Agentic AI Skills That Matter Now, with Aishwarya Srinivasan

    In Episode #1023, Aishwarya Srinivasan (Co-Founder of The Gen Academy) joins Jon Krohn to work out where a competitive moat comes from once anything you can build in ten minutes, s…

    1 h 18
  18. 1022: CLAUDE.md, AGENTS.md, Skills, Hooks and Subagents: A Field Guide to Steering AI Agents

    In Episode #1022, Jon Krohn tackles the art of steering AI agents, deciding where your instructions should live so they get followed reliably without bloating every request. A sequ…

    18 min
  19. 1021: How dbt Won Analytics Engineering, with dbt Lab’s CEO Tristan Handy

    In Episode #1021, Tristan Handy (Founder and CEO of dbt Labs) joins Jon Krohn to explain how a study of about a hundred companies in 2016 became analytics engineering, and then bec…

    52 min
  20. 1020: How to Choose Model Size and Effort Level: The Two Critical Dials

    In Episode #1020, Jon Krohn unpacks the two dials that increasingly decide what you get out of a large language model: which model size you pick and how much effort you tell it to…

    17 min
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