Super Data Science: ML & AI Podcast with Jon Krohn
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 you're a deep technical expert, whether you'd like to understand what A.I. is or you'd like to integrate more data-driven processes into your business, we have inspiring guests and lighthearted conversation for you to enjoy. We cover tools, techniques, and implementation tricks across data collection, databases, analytics, predictive modeling, visualization, software engineering, real-world applications, commercializa
WebsiteEvery guest on Super Data Science: ML & AI Podcast with Jon Krohn
244 guests, ranked by how many people never want them back.
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Yannic Kilcher
733: OpenAssistant: The Open-Source ChatGPT Alternative, with Dr. Yannic Kilcher · Nov 2023
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Yaw Tan
010: Model Validation, Data Exhaust and Organisational Cultural Change with Yaw Tan · Nov 2016
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Zack Kass
975: Unmetered Intelligence is Heralding the Next Renaissance, with Zack Kass · Mar 2026
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Zohar Bronfman
907: Neuroscience, AI and the Limitations of LLMs, with Dr. Zohar Bronfman · Jul 2025
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Recent episodes
1042 episodes from the feed, newest first.
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1041: Connection Is Not Cognition: Why Multi-Agent Systems Silently Fail, with Dr. Vijoy PandeyNov 2026
with Vijoy Pandey
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1040: Cybersecurity for the Agentic AI Era, with Amy BlackshawOct 2026
with Amy Blackshaw
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1039: AI for Real Estate, Walkable Cities and Climate Action, with Prof. John RenneOct 2026
with John Renne
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1038: AI’s Contentious Math BreakthroughsOct 2026
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1037: Recursive Self-Improvement: The Eureka Machine, with Dr. Richard SocherOct 2026
with Richard Socher
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1036: Is AI Holding Kids Back from Learning?Oct 2026
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1035: Workslop, Glass Cliffs and Inviting Your Fears to Tea, with Carly TaylorOct 2026
with Carly Taylor
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1034: In Case You Missed It in September 2026Oct 2026
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1033: Workslop: The Hidden Cost of AI-Generated Work, with Prof. Jeff Hancock and Dr. Kate NiederhofferOct 2026
with Jeff Hancock
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1032: Agents Need 10x More Data Than Humans, with Salesforce’s CDO Michael AndrewOct 2026
with Michael Andrew
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1031: Tokenomics: Why Your Agentic AI Bill Is Exploding (and How to Fix It), with Tyler Cox and Ish ShahSep 2026
with Tyler Cox
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1030: Garbage In, Gospel Out: Why Agents Need Better Data, with Salesforce's Gaurav PathakSep 2026
with Gaurav Pathak
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1029: How AI Brought a Podcast Back From the Dead, with Linear Digressions’ Katie MaloneSep 2026
with Katie Malone
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1028: The Chip Built for Agentic AI Inference, with SambaNova's Anton McGonnellSep 2026
with Anton McGonnell
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1027: Building an Always-On AI Agent for Busy Parents, with Dr. Dilani KahawalaSep 2026
with Dilani Kahawala
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1026: OpenAI’s GPT-6 AstraSep 2026
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1025: Word Gravity: How Transformers Bend Space, with Dr. Luis SerranoSep 2026
with Luis Serrano
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1024: In Case You Missed It in August 2026Sep 2026
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1023: Agentic AI Skills That Matter Now, with Aishwarya SrinivasanSep 2026
with Aishwarya Srinivasan
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1022: CLAUDE.md, AGENTS.md, Skills, Hooks and Subagents: A Field Guide to Steering AI AgentsAug 2026
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1021: How dbt Won Analytics Engineering, with dbt Lab’s CEO Tristan HandyAug 2026
with Tristan Handy
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1020: How to Choose Model Size and Effort Level: The Two Critical DialsAug 2026
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1019: Anyone Can Write Code Now, So What Gets You Hired? (With Priyanka Vergadia)Aug 2026
with Priyanka Vergadia
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1018: Alibaba's Qwen3.8-Max: Open-Weight Model Surpasses Most American Frontier LabsAug 2026
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1017: Vector Search, Agentic Memory and Effective RAG, with MongoDB’s Pete JohnsonAug 2026
with Pete Johnson