Super Data Science: ML & AI Podcast with Jon Krohn
A technical podcast where an expert host breaks down the latest in AI and machine learning through solo analysis and interviews with practitioners.
Super Data Science is a dual-format podcast that serves the AI and data science community. It features short, solo-hosted "Five-Minute Friday" episodes where Jon Krohn breaks down complex, current events like new model releases or research trends. These are complemented by long-form weekly interviews with industry leaders and technical experts, diving deep into topics from data center infrastructure to the mechanics of LLMs.
“The show's longevity, with over 1000 episodes, provides a deep archive of the industry's evolution. Host Jon Krohn's ability to both interview experts and perform solo analysis on complex technical topics, while consistently defining jargon for the audience, sets it apart from more conversational or purely interview-based shows.”
Who hosts this show
Hosted by Dr. Jon Krohn, Super Data Science offers a mix of timely solo episodes on AI news and long-form interviews with technical experts. Krohn, who holds a PhD in Neuroscience from Oxford University, leverages his background as a data scientist and entrepreneur to cut through industry hype. The podcast has been running for over a decade, covering tools, techniques, and career topics in machine learning and AI for both newcomers and seasoned professionals.
Credentials & credits
- PhD in Neuroscience, University of Oxford
- Author, "Deep Learning Illustrated"
- Co-Founder & CEO, Y Carrot
- ML Practice Fellow, Lightning AI
- Lecturer at Columbia University & NYU
- Published in academic journals since 2010
Other ventures
- Y Carrot (AI Consultancy)
- Lightning AI (ML Practice Fellow)
- Nebula (Co-founder, former Chief Data Scientist)
- Bloomberg TV (Content Host)
- Author and series editor for Pearson
- Online course instructor (Udemy, O'Reilly)
What kind of podcast
- Country
- United States
- Region
- usa
When new episodes drop
- 01The Secret Network That Powers ChatGPT TrainingJun 28, 2026 · 38s
- 02Why Data Centers Don't Raise Your Electric BillJun 27, 2026 · 52s
- 03The Biggest Lie About AI Data Center Water UsageJun 26, 2026 · 1 min
- 041004: Recursive Self-Improvement (Ep. 1004 with Jon Krohn)Jun 26, 2026 · 9 min
- 05What It's Actually Like Inside an AI Data CenterJun 23, 2026 · 1h 11m
- 06Fable 5: The Full Story from Capabilities to Drama (Ep. 1002 with Jon Krohn)Jun 19, 2026 · 15 min
- 07The AI Model That Finally Beat Me (with Jon Krohn)Jun 16, 2026 · 1h 54m
- 08
Notable episodes
- 01Ten Years of the Super Data Science Podcast (Ep. 1000)
A landmark 1000th episode celebrating the show's 10-year anniversary, featuring the founder and recorded live with audience participation.
- 02What It's Actually Like Inside an AI Data Center
The first episode in over 1000 to cover the physical infrastructure layer of AI, featuring a rare, detailed tour of AI data centers with an industry expert.
- 03Fable 5: The Full Story from Capabilities to Drama (Ep. 1002)
A timely solo episode breaking down a major industry event: the release and rapid, government-mandated shutdown of a powerful new AI model.
- 04The AI Model That Finally Beat Me (with Jon Krohn)
A special episode where the host becomes the guest, interviewed by the show's founder about his career path and the impact of AI on his own expertise.
What you'll be asked on this show
Jon Krohn's interview style is that of an expert practitioner speaking with a peer. He often opens by establishing a guest's specific role and the unique premise for the conversation. A signature of his style is to proactively pause the discussion to ask for definitions of technical terms (e.g., 'node', 'neo-cloud', 'oversubscription') to ensure the audience can follow along. He uses his own deep knowledge to ask informed, forward-looking questions about technical trade-offs and future-proofing, rather than just asking for a guest's backstory.
The podcast alternates between two primary formats: ~10-minute solo-hosted "Five-Minute Friday" episodes analyzing a current news topic, and ~60+ minute Tuesday episodes featuring a guest interview. Jon Krohn often discloses his personal affiliations and sponsorships, such as his fellowship at Lightning AI. He closes episodes with the signature sign-off, "keep on rocking it out there."
Questions the host keeps coming back to
7 cataloguedIf you're going on this show as a guest, expect some version of each of these. Each note explains when the host reaches for it.
origin
1- Q.01
“What is your specific role at your company?”
Typically asked at the beginning to establish the guest's specific expertise and responsibilities.
technique
2- Q.01
“For listeners who aren't aware, what is a [technical term like 'node' or 'neo-cloud']?”
A signature move where he pauses the expert to define jargon, making complex topics more accessible.
- Q.02
“What does it mean when you say there's 'no oversubscription' in a network?”
He frequently picks up on specific technical phrases used by guests to drill down and get a precise definition.
craft
2- Q.01
“What makes an AI [system/process] different from a generic one?”
He uses this to get to the core technical distinctions of the episode's main topic.
- Q.02
“When you talk about [a specific technology like liquid cooling], how does that actually work?”
This question seeks to clarify the physical or software mechanics behind a concept the guest has introduced.
future
1- Q.01
“How do you build for the future, knowing the next generation of technology will be different?”
Asks this to surface the challenges of future-proofing and long-term strategy in a fast-moving field.
process
1- Q.01
“Can you tell us about the process for [a specific business or technical operation]?”
Used to move from high-level concepts to the logistical, step-by-step reality of how things get built.
Signature segments
- · Five-Minute Friday
- · "Keep on rocking it out there"
Topics covered repeatedly
Who gets booked here
Guests are typically senior technical experts, founders, or executives directly involved in building AI products and infrastructure. The show books people who can provide a ground-level, technically detailed perspective, such as a VP of Infrastructure from an AI cloud company.
- Frank Bassoon What It's Actually Like Inside an AI Data Center
Where to find this show
Audience & reach
Sponsors are B2B technology companies in the AI and data infrastructure space, such as Anthropic (AI models), Cisco (hardware/software), and Acceldata (data observability). The target audience is clearly technical professionals and the companies that employ them.
Subscriber and view counts are pulled live from YouTube and re-verified on a 30-day cycle. Listener estimates for the RSS feed aren't published here unless they're host-verified.
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People also ask
- Who is the host of Super Data Science?
- The host is Dr. Jon Krohn, a data scientist, author, and entrepreneur with a PhD from Oxford University.
- What is the podcast's format?
- It has two formats: short (~10 min) solo-hosted "Five-Minute Friday" episodes on current events, and longer (~60+ min) weekly interviews with technical experts.
- Is Super Data Science still active?
- Yes, the podcast is very active, releasing two episodes a week and has published over 1000 episodes since it began.
- What kind of topics are covered?
- The show covers the entire AI and data science stack, from physical data centers and hardware to model development, AI safety, and data career advice.
- Where can I listen to the podcast?
- The podcast is available on all major podcasting platforms, with a video version on the SuperDataScience YouTube channel.
Built from the show's public RSS feed, YouTube, the host's own websites, and the cited sources below. Computed and AI-extracted fields are labelled. Facts only — no private info, no fabrication, no transcripts republished.
Sources & how this page was built
This page is AI-assisted, grounded in the public sources cited below, and host-verifiable. We publish facts only; we do not republish transcripts. If anything here is wrong, the host can claim and correct the page above.Model: gemini-2.5-pro · high confidence
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