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Super Data Science: ML & AI Podcast with Jon Krohn

Jon Krohn
Data Science
Machine Learning
Artificial Intelligence
Generative AI
Large Language Models
Openai
AI Agents
Data Analytics
Artificial General Intelligence
Agentic AI
AWS
Natural Language Processing
Job Applications
Quantum Computing
Cloud Computing
Polars
Nvidia
Mathematical Optimization
Python
Deep Learning

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

PublishesDailyEpisodes1003Founded10 years ago
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Artwork for Super Data Science: ML & AI Podcast

Latest Episodes

Anthropic’s Claude Fable 5 was the most capable AI model ever released to the public and it lasted just three days before the US government forced it offline. Jon Krohn unpacks both halves of the story: what makes Fable 5 special, and why it was pull... more

For this episode #1001 special, the tables are turned: SuperDataScience founder Kirill Eremenko takes the host’s chair and Jon Krohn is the guest. They trace Jon Krohn’s path from an Oxford neuroscience PhD to a New York hedge fund to founding the AI... more

For this landmark 1,000th episode and the show’s 10-year anniversary, host Jon Krohn is joined by SuperDataScience founder Kirill Eremenko, who hosted the podcast for its first 400-plus episodes before handing over the reins. In a first for the show,... more

Chip Huyen joins host Jon Krohn for this milestone episode 999 to talk about her record-breaking book "AI Engineering" the most-read title on the O'Reilly platform last year and how the AI landscape has shifted since her last appearance. Chip breaks ... more

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Recent Guests

Andrey Kurenkov
Founding AI Lead at Astrocade
Astrocade
Episode: 997: How This Text-to-Video-Game AI Startup Hit 20M Users
Nikunj Bajaj
CEO and co-founder of TrueFoundry
TrueFoundry
Episode: 996: TrueFoundry’s Nikunj Bajaj on How to Get $100M Returns on AI Agent Deployments
Jazmia Henry
Foundational Model Engineer at Collide (oil and gas AI), PhD researcher
Collide
Episode: 995: End-to-End Foundation Models for the Energy Industry, with Jazmia Henry
Jacob Miller
VP of Platform Intelligence at Pattern
Pattern
Episode: 993: How to Build AI-First Organizations, with Jacob Miller and Jeremy Mumford
Jeremy Mumford
Lead AI Engineer at Pattern
Pattern
Episode: 993: How to Build AI-First Organizations, with Jacob Miller and Jeremy Mumford
Trevor Manz
Guest, founder/lead at Marimo
Marimo
Episode: 991: Pair Programming with AI in Your Python Notebook, with Dr. Trevor Manz
Anneka Gupta
Chief Product Officer at Rubrik
Rubrik
Episode: 989: Security for Mythos-Era Agentic Risks, with Rubrik’s Anneka Gupta and Cal Al-Dhubaib
Richmond Olake
Director of AI Developer Experience at Oracle
Oracle
Episode: 988: In Case You Missed It in April 2026
Linda Haviv
Former Staff Developer Advocate at AnyScale; open source advocate and educator in AI infrastructure
AnyScale (former); Independent educator and consultant
Episode: 987: AI Infrastructure, Ray, and Why Nonlinear Careers Win, with Linda Haviv

Host

Jon Krohn
Host of the show

Reviews

4.7 out of 5 stars from 856 ratings
  • The only AI podcast you need

    You know how we all have that one podcast that we go to when we need consistently valuable information but don’t have a lot of time? For me, it’s the Super Data Science ML & AI Podcast. Hands down, my go to source for keeping a pulse on what matters. The content is always timely and speaks grounded truth for practitioners. I’ve learned more from this podcast than any other source available. Times I’ve regretted listening with my free time: 0 - Thank you!

    Apple Podcasts
    5
    Thelizzzzw
    United States3 months ago
  • 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 States5 months ago
  • Links pls

    Love the show so much!

    I do wish the episode links worked from Apple Podcasts.

    Apple Podcasts
    5
    jorygonian
    United States5 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
    Canadaa year 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

Listeners Say

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

Listeners appreciate technical depth balanced with accessible explanations and stories.
People value practical, hands-on AI and data topics that are applicable in the real world.
Some listeners note occasionally challenging episodes but still find them valuable.
The show is praised for thoughtful debates and actionable insights, not just hype.
Guests and topics are seen as consistently high quality and relevant to current AI trends.

Chart Rankings

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

Apple Podcasts
#122
United States/Technology
Apple Podcasts
#147
Canada/Technology
Apple Podcasts
#88
France/Technology
Apple Podcasts
#97
Australia/Technology
Apple Podcasts
#104
Germany/Technology
Apple Podcasts
#50
Ireland/Technology

Talking Points

Recent interactions between the hosts and their guests.

995: End-to-End Foundation Models for the Energy Industry, with Jazmia Henry
Q: Could you summarize the NeurIPS paper about scaling laws and data quality?
The paper argues that data quality is crucial and that more data with low quality can degrade performance; conversely, higher quality data with reasonable compute can yield better results than simply scaling up with bad data.
995: End-to-End Foundation Models for the Energy Industry, with Jazmia Henry
Q: What is grounded continuous evaluation (GCE) and how does it mitigate reward hacking?
GCE injects deterministic, simulation-based fine-tuning into the training loop to provide stable benchmarks and guard against exploitative strategies, aligning model behavior with intended objectives.
995: End-to-End Foundation Models for the Energy Industry, with Jazmia Henry
Q: What does it mean for reinforcement learning models to be bursty, and why is that a concern for deployment?
Bursty means that computation spikes occur when the model processes rewards and updates, causing CPU/GPU resources to idle until a burst of activity, which can make maintaining uptime and meeting SLAs challenging during inference.
995: End-to-End Foundation Models for the Energy Industry, with Jazmia Henry
Q: What do you mean by a full stack foundation model builder, and what is involved beyond just having a big model?
It involves four stages: data curation to structure the knowledge base, bespoke tokenizers and embeddings to tailor how data is represented, continued pre-training and reinforcement learning to adapt models to oil and gas tasks, and finally designing efficient, scalable inference strategies.
997: How This Text-to-Video-Game AI Startup Hit 20M Users
Q: Welcome back to the show. How has Astrocade evolved since the last time you were here?
Astrocade has grown from pre-alpha to a platform with millions of engaged users, expanding from vibe coding to supporting casual creators who can build, publish, and have others play games for free, with a growing community and monetization via creator incentives.

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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?

This show consistently covers practical AI, ML, and data science topics with a strong focus on real-world applications, tooling, and career growth. Episodes frequently explore how to build, deploy, and govern AI systems in enterprise settings, with attention to memory, agent-based workflows, and data governance. Guests span industry practitioners, product and platform leaders, and researchers who share actionable insights, case studies, and frameworks that listeners can apply to their own teams. A standout aspect is the blend of hands-on engineering discussions with strategic governance and security considerations, making it valuable for both individual contributors and decision-makers exploring AI-powered transformations.

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Which podcasts are similar to Super Data Science: ML & AI Podcast?

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

1. Practical AI
2. DataFramed
3. NVIDIA AI Podcast
4. Machine Learning Street Talk (MLST)
5. No Priors: Artificial Intelligence | Technology | Startups

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

Super Data Science: ML & AI Podcast launched 10 years ago and published 1003 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. Andrey Kurenkov
2. Nikunj Bajaj
3. Jazmia Henry
4. Jacob Miller
5. Jeremy Mumford
6. Trevor Manz
7. Anneka Gupta
8. Richmond Olake

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