Rephonic
Artwork for Super Data Science: ML & AI Podcast

Super Data Science: ML & AI Podcast with Jon Krohn

Jon Krohn
Artificial Intelligence
Generative AI
Data Science
Machine Learning
AI Startups
Merantix
Venture Capital
Customer Support
Entrepreneurship
AI Regulation
Artificial General Intelligence
Europe
Customer Traction
Holiday Season
Continuous Calendar
Drug Discovery
Berlin
Large Language Models
Conversational AI
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

PublishesTwice weeklyEpisodes975Founded9 years ago
Number of ListenersCategories
TechnologyScience

Listen to this Podcast

Artwork for Super Data Science: ML & AI Podcast

Latest Episodes

In this week’s Five-Minute Friday, Jon Krohn holds the AI bubble up to the light. He points to the deep greyzone found in AI startups like Cluely that are established on dubious ideas (Cluely’s tagline was “cheat on everything”) and funding bluster, ... more

No one should be manually writing code in 2026, thinks Chris Fregly, Jon Krohn’s guest on this week’s episode. In this interview about Chris’ latest book, AI Systems Performance Engineering, he explains why it’s so important to consider memory bandwi... more

Jon Krohn recaps the month of February in this episode of In Case You Missed It. Across four interviews with Will Falcon (Episode 965), Tom Griffiths (Episode 969), Antje Barth (Episode 963), and Praveen Murugesan (Episode 967), Jon questions the bra... more

Lin Qiao, CEO of Fireworks AI, talks to Jon Krohn about how she builds effective models quickly, why coding agents can perform at the level of a junior engineer, and what she attributes to the success of Fireworks AI: True to its name, the company ex... more

YouTube

Key Facts

Accepts Guests
Accepts Sponsors
Contact Information
Podcast Host
Number of Listeners
Find out how many people listen to this podcast per episode and each month.

Similar Podcasts

People also subscribe to these shows.

Practical AI
Practical AIPractical AI LLC
The a16z Show
The a16z ShowAndreessen Horowitz
Dwarkesh Podcast
Dwarkesh PodcastDwarkesh Patel

Recent Guests

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
Antje Barth
A multi-time best-selling O'Reilly author and a member of the technical staff at Amazon's AGI Labs.
Amazon AGI Labs
Episode: 963: Reinforcement Learning for Agents, with Amazon AGI Labs’ Antje Barth
Ethan Mollick
Associate Professor at the University of Pennsylvania's Wharton School and co-director of the generative AI lab
University of Pennsylvania
Episode: 962: Wharton Prof Ethan Mollick on Why Your AI Strategy Is Already Obsolete
Dr. Vijoy Pandey
Head of Cisco's Outshift and expert on artificial superintelligence.
Cisco
Episode: 961: Distributed Artificial Superintelligence, with Dr. Vijoy Pandey

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 Statesa month ago
  • Links pls

    Love the show so much!

    I do wish the episode links worked from Apple Podcasts.

    Apple Podcasts
    5
    jorygonian
    United States2 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
#143
United States/Technology
Apple Podcasts
#141
United Kingdom/Technology
Apple Podcasts
#101
Australia/Technology
Apple Podcasts
#209
Italy/Technology
Apple Podcasts
#27
India/Technology
Apple Podcasts
#58
Brazil/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
Location
Interests
Professions
Age Range
Household Income
Social Media Reach

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

Where can I find podcast stats for Super Data Science: ML & AI Podcast?

Rephonic provides a wide range of podcast stats for Super Data Science: ML & AI Podcast. We scanned the web and collated all of the information that we could find in our comprehensive podcast database. See how many people listen to Super Data Science: ML & AI Podcast and access YouTube viewership numbers, download stats, audience demographics, chart rankings, ratings, reviews and more.

How many listeners does Super Data Science: ML & AI Podcast get?

Rephonic provides a full set of podcast information for three million podcasts, including the number of listeners. View further listenership figures for Super Data Science: ML & AI Podcast, including podcast download numbers and subscriber numbers, so you can make better decisions about which podcasts to sponsor or be a guest on. You will need to upgrade your account to access this premium data.

What are the audience demographics for Super Data Science: ML & AI Podcast?

Rephonic provides comprehensive predictive audience data for Super Data Science: ML & AI Podcast, including gender skew, age, country, political leaning, income, professions, education level, and interests. You can access these listener demographics by upgrading your account.

How many subscribers and views does Super Data Science: ML & AI Podcast have?

To see how many followers or subscribers Super Data Science: ML & AI Podcast has on Spotify and other platforms such as Castbox and Podcast Addict, simply upgrade your account. You'll also find viewership figures for their YouTube channel if they have one.

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. The AI Daily Brief: Artificial Intelligence News and Analysis
3. The a16z Show
4. Dwarkesh Podcast
5. A Beginner's Guide to AI

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

Super Data Science: ML & AI Podcast launched 9 years ago and published 975 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.

How do I contact Super Data Science: ML & AI Podcast?

Our systems regularly scour the web to find email addresses and social media links for this podcast. We scanned the web and collated all of the contact information that we could find in our podcast database. But in the unlikely event that you can't find what you're looking for, our concierge service lets you request our research team to source better contacts for you.

Where can I see ratings and reviews for Super Data Science: ML & AI Podcast?

Rephonic pulls ratings and reviews for Super Data Science: ML & AI Podcast from multiple sources, including Spotify, Apple Podcasts, Castbox, and Podcast Addict.

View all the reviews in one place instead of visiting each platform individually and use this information to decide if a show is worth pitching or not.

How do I access podcast episode transcripts for Super Data Science: ML & AI Podcast?

Rephonic provides full transcripts for episodes of Super Data Science: ML & AI Podcast. Search within each transcript for your keywords, whether they be topics, brands or people, and figure out if it's worth pitching as a guest or sponsor. You can even set-up alerts to get notified when your keywords are mentioned.

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

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

1. Lin Qiao
2. Andrej Karpathy
3. Peter Steinberger
4. Tom Griffiths
5. Praveen Murugesan
6. Will Falcon
7. Antje Barth
8. Ethan Mollick

To view more recent guests and their details, simply upgrade your Rephonic account. You'll also get access to a typical guest profile to help you decide if the show is worth pitching.

Find and pitch the right podcasts

We help savvy brands, marketers and PR professionals to find the right podcasts for any topic or niche. Get the data and contacts you need to pitch podcasts at scale and turn listeners into customers.
Try it free for 7 days