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Super Data Science: ML & AI Podcast with Jon Krohn

Jon Krohn
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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 conversa... more

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Artwork for Super Data Science: ML & AI Podcast

Latest Episodes

For years, Jon has been quoting the stat that the world's data is roughly doubling every year. His guest today says that’s way too conservative, he’s seeing enterprise data soon growing at close to 10x per year. And most organizations are nowhere nea... more

A game millions of people solve over morning coffee is exposing a fundamental weakness in today’s most powerful AI models. In this Five-Minute Friday, Jon Krohn breaks down Pathway’s new Sudoku Extreme benchmark, roughly 250,000 of the hardest Sudoku... more

What’s going to be the next big step function that blasts us forward in AI capabilities? To find out, Jon Krohn sits down with Professor Kyunghyun Cho, whose 200,000 citations and co-authorship of the first paper on attention place him among the most... more

NVIDIA just dropped Nemotron 3 Super, a 120-billion-parameter open-weight model that only activates 12 billion parameters at a time and it’s built for the agentic AI era. In this Five-Minute Friday, Jon Krohn breaks down the model’s hybrid Mamba-Tran... more

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Recent Guests

Zack Kass
Former head of go-to-market at OpenAI; AI advisor and author
OpenAI, The Next Renaissance (author)
Episode: 975: Unmetered Intelligence is Heralding the Next Renaissance, with Zack Kass
Bern Hobart
Investor, author of The Diff newsletter, co-author of Boom! Bubbles and the End of Stagnation
The Diff; author of Boom! Bubbles and the End of Stagnation
Episode: 974: When Will The AI Bubble Burst? How Bad Will It Be?
Chris Fregly
AI systems performance specialist, author
AWS / Databricks / Netflix (former roles); O'Reilly author
Episode: 973: AI Systems Performance Engineering, with Chris Fregly
Lin Qiao
CEO of Fireworks AI
Fireworks AI
Episode: 971: 90% of The World’s Data is Private; Lin Qiao’s Fireworks AI is Unlocking It
Andrej Karpathy
Original OpenAI co-founder and former director of AI at Tesla
Independent AI researcher (former OpenAI/Tesla)
Episode: 970: The “100x Engineer”: How to Be One, But Should You?
Peter Steinberger
Founder of Nutrient (formerly PSPDF Kit)
Nutrient
Episode: 970: The “100x Engineer”: How to Be One, But Should You?
Tom Griffiths
Professor of Psychology and Computer Science at Princeton University and author of The Laws of Thought
Princeton University
Episode: 969: The Laws of Thought: The Math of Minds and Machines, with Prof. Tom Griffiths
Praveen Murugesan
VP of Engineering at Samsara, focusing on AI for physical systems
Samsara
Episode: 967: AI for the Physical World, with Samsara's Praveen Murugesan
Will Falcon
CEO of Lightning AI
Lightning AI
Episode: 965: From PhD Side Project to $500M ARR: Will Falcon’s PyTorch Lightning Story

Host

Jon Krohn
Host of the show

Reviews

4.7 out of 5 stars from 848 ratings
  • High Quality AI, High Quality Human

    One of the most high-quality and practical AI podcasts out there. This show creates space for both deep, technical, thoughtful discussion as well as genuine human moments, like navigating ambition, burnout, and the personal realities of being a go-getter in this space.

    I’ve been listening for the past two years and consistently walk away learning something new and feeling inspired. It’s clear how much care goes into making this a valuable resource for anyone thinking seriously about AI and its... more

    Apple Podcasts
    5
    Hadassah02
    United States2 months ago
  • Links pls

    Love the show so much!

    I do wish the episode links worked from Apple Podcasts.

    Apple Podcasts
    5
    jorygonian
    United States3 months ago
  • Awesome podcast

    I have been following the Super Data Science Podcast ever since the early days with Kirill Eremenko, all the way through to Jon Krohn. When I was a student, it helped me a lot to understand and make decisions about my career path.

    Thanks to all the team for bringing us this podcast.

    Apple Podcasts
    5
    TheBecaye
    Canada10 months ago
  • SDSpodcast makes for great conversation

    Thank you for your making data science accessible to everyone. Whenever I meet a data scientist in the DC area, I always make sure to mention your podcast.

    Apple Podcasts
    5
    Dark Horse Lover
    United Statesa year ago
  • Must Listen Multi Talented Podcaster

    Jon Krohn’s Super Data Science podcast is a fantastic way to keep up with the world of AI and the people who work in the industry. His guests are spot on and always interesting.

    Fun bonus comment - I came across John’s work on YouTube as well where he has a course on calculus. Since I’m taking a DS course right now I needed to brush up on the math.

    Apple Podcasts
    5
    sailATX
    United Statesa year ago

Listeners Say

Key themes from listener reviews, highlighting what works and what could be improved about the show.

Listeners praise the show for deep, technical AI discussions that stay practical and human-centered.
Many comment on the quality of guests and the host's ability to extract actionable insights.
Audience finds the content consistently valuable for staying up to date in AI, ML, and data science.

Chart Rankings

How this podcast ranks in the Apple Podcasts, Spotify and YouTube charts.

Apple Podcasts
#158
United States/Technology
Apple Podcasts
#230
United Kingdom/Technology
Apple Podcasts
#123
France/Technology
Apple Podcasts
#131
Germany/Technology
Apple Podcasts
#186
Italy/Technology
Apple Podcasts
#213
Australia/Technology

Talking Points

Recent interactions between the hosts and their guests.

963: Reinforcement Learning for Agents, with Amazon AGI Labs’ Antje Barth
Q: What is your vision for the future of AI agents?
Agents will evolve to become digital coworkers that learn through interaction, enhancing productivity.
963: Reinforcement Learning for Agents, with Amazon AGI Labs’ Antje Barth
Q: How do you ensure that agents maintain high reliability?
By training them on high-fidelity web gyms that allow for self-play and adaptation.
962: Wharton Prof Ethan Mollick on Why Your AI Strategy Is Already Obsolete
Q: How should companies approach the buy versus build decisions in AI implementation?
They should consider whether the AI solutions are core to their business, the level of expertise available internally, and seek transparency from vendors.
962: Wharton Prof Ethan Mollick on Why Your AI Strategy Is Already Obsolete
Q: How should executives rethink team structures and management in light of AI functioning as a teammate?
Executives need to encourage experimentation with AI across their organization, avoiding reliance on external consultants for all decision-making.
958: Without Trusted Context, Agents are Stupid (featuring Salesforce’s Rahul Auradkar)
Q: How can data science teams upskill effectively for all these integrated capabilities?
Upskilling focuses on domain-specific knowledge and using low-code tools provided by Salesforce, supported by training through Trailhead and community initiatives.

Audience Metrics

Listeners, social reach, demographics and more for this podcast.

Listeners per Episode
Gender Skew
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Frequently Asked Questions About Super Data Science: ML & AI Podcast

What is Super Data Science: ML & AI Podcast about and what kind of topics does it cover?

A data science and AI-focused show that blends technical depth with practical implications for industry. Episodes frequently explore AI tooling, autonomous agents, production-ready workflows, and the business side of data initiatives—from enterprise data strategies to GPU-first cloud infrastructure and real-world AI deployments. Notable episodes probe how to scale coding with AI, reliability of AI agents, and the bridge between research ideas and production systems, often featuring leaders at the forefront of AI hardware, software, and enterprise data platforms. A distinctive edge is the emphasis on actionable frameworks, metrics, and governance for AI in business, making it valuable for practitioners, engineers, and product leaders aiming ... more

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These podcasts share a similar audience with Super Data Science: ML & AI Podcast:

1. Practical AI
2. This Day in AI Podcast
3. DataFramed
4. NVIDIA AI Podcast
5. Latent Space: The AI Engineer Podcast

How many episodes of Super Data Science: ML & AI Podcast are there?

Super Data Science: ML & AI Podcast launched 9 years ago and published 980 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.

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What guests have appeared on Super Data Science: ML & AI Podcast?

Recent guests on Super Data Science: ML & AI Podcast include:

1. Zack Kass
2. Bern Hobart
3. Chris Fregly
4. Lin Qiao
5. Andrej Karpathy
6. Peter Steinberger
7. Tom Griffiths
8. Praveen Murugesan

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