How This Text-to-Video-Game AI Startup Hit 20M Users

Imagine being able to vibe-code full-blown video games... for free! My returning guest, Dr. Andrey Kurenkov, helped engineer Astrocade to do just that... and already 20 million people have played games through their platform.

More on Andrey:
• Founding A.I. Lead at Astrocade, a Bay Area-based startup that has raised $68m in venture capital to create the TikTok of video games, where creators create games for free and you play them for free.
• Co-host (alongside Jeremie Harris) of my favorite podcast, "Last Week in A.I.".
• Holds a PhD from Stanford University, where his research focused on machine vision and robotics.

In this episode, we discuss:
• The fascinating Astrocade journey, of course.
• The surprising pace of humanoid robotics.
• Why he's a skeptic on Artificial Super Intelligence.

The SuperDataScience podcast is available on all major podcasting platforms, YouTube, and at SuperDataScience.com.

Episode #1000: Join Us Live for the First-Ever Interactive SDS Podcast!

Ten years ago, Kirill Eremenko founded The SuperDataScience Podcast. To celebrate the upcoming Episode #1000, we are inviting you to join us both in a format we've never tried before:

It will be the first-ever interactive episode where you can join in online as we record, and ask your questions... or I suppose just make comments! You'll be able to ask share your thoughts in the chat or come right onto the show via video.

Kirill (founder, original host) and I (current host) will both be there, so you can ask us anything, e.g.:

• Did Kirill think the show would last ten years and 1000 episodes?

• How has data science transformed over the past decade?

• Did Jon have hair on his head ten years ago?

Date: Next Thursday, June 4th

Time: 5pm Eastern Time / 2pm Pacific Time

To get a calendar invite that includes the URL to join us live, check out the Luma link below ⬇️
luma.com/7vl7mdos

The "Super Data Science Podcast with Jon Krohn" is available on all major podcasting platforms and a video version is on YouTube. Whether you join us or not for the interactive recording, Episode #1000 will be published on Friday June 12th!

How to Build AI-First Organizations, with Jacob Miller and Jeremy Mumford

After today's fun episode with Jacob and Jeremy — authors of the brand-new book "Architected Intelligence" — you’ll have all the key info to build successful AI features, AI products and AI-first companies. Enjoy!

Jeremy Mumford and Jacob Miller serve as Lead AI Engineer and Vice President of Platform Intelligence, respectively, at Pattern, a giant Utah-based tech company that IPO’ed on the Nasdaq exchange about six months ago.

Jacob and Jeremy's brand-new "Architected Intelligence" book was published by Wiley and this episode focuses almost exclusively on this invaluable book.

Episode highlights include:
• The "User Agnosticism Tenet", which means designing products and processes so they can be executed equally well by a human, an AI agent, or any hybrid combo.
• The shift in the "define-build-feedback" loop today where "building" is no longer the bottleneck, which means "definition" and "feedback" are where teams win or lose.
• Why workflows are deterministic, predictable, and cheaper than agents, and why the natural progression is skills first, then workflows, and only then agents.
• Why data engineering is the bedrock of AI engineering.
• Why velocity is the only durable moat in a world where everyone has access to the same frontier models.

Thanks to podcast superfan Jonathan Bown for recommending Jeremy and Jacob as guests!

The SuperDataScience podcast is available on all major podcasting platforms, YouTube, and at SuperDataScience.com.

Web Summit Vancouver 2026

"Collision" has grown and re-branded as "Web Summit Vancouver". I'm looking forward to experiencing the new brand for the first time next week! See you there? Here's where you can catch me:

• Tue May 12 at 11am: Mentor Hours on "scaling your startup"

• Wed May 13 at 1:30pm: Delivering my agentic A.I. talk ("Something Big is Happening") on the "A.I. Summit" stage.

• Wed May 13 at 1:50pm: Emceeing the "A.I. Summit" stage all afternoon.

More on Web Summit Vancouver:
• Taking place May 11–14 at the Vancouver Convention Centre.
• It's the second year in a row the conference, under this new brand, has taken place (the previous "Collision"-branded event was held annually in Toronto and the photo in this post is from a talk I gave there in 2024).
• Connects over 35,000 startup founders, investors and industry leaders to discuss A.I., entrepreneurship and tech trends.

Jon Krohn's AI Signature Series: First Two Books are Bestsellers

Two books have been published so far in Pearson's "Jon Krohn A.I. Signature Series"... and now both are near the top of Amazon's "Artificial Intelligence" bestsellers list!

Sinan Ozdemir's "Building Agentic A.I." (circled in purple) is in 9th while Sadie St Lawrence's "Becoming an A.I. Orchestrator" (circled in red) is in 11th.

Both books are excellent (as the Amazon reviews quantify) and they are complementary — I (of course!) highly recommend them both.

Introducing the First Book in My A.I. Signature Series

I'm delighted to announce that the first book in my "Pearson A.I. Signature Series" is "Building Agentic AI" by the prolific author Sinan Ozdemir... and it will be published on Sunday!

It's available for pre-order now worldwide from wherever you buy your books! You can also read a digital version in the O'Reilly platform today if you have access to it.

The book is packed with hands-on examples in Python and it allows you to master the complete agentic A.I. pipeline, including practical guidance and code on how to:

• Design adaptive A.I. agents with memory, tool use, and collaborative reasoning capabilities.

• Build robust RAG workflows using embeddings, vector databases and LangGraph state management.

• Implement comprehensive evaluation frameworks beyond just "accuracy"

• Deploy multimodal A.I. systems that seamlessly integrate text, vision, audio and code generation.

• Optimize models for production through fine-tuning, quantization and speculative decoding techniques.

• Navigate the bleeding edge of reasoning LLMs and computer-use capabilities.

• Balance cost, speed, accuracy and privacy in real-world deployment scenarios.

• Create hybrid architectures that combine multiple agents for complex enterprise applications.

Thanks to Debra Williams Cauley, Dayna Isley and many more at Pearson for bringing this series to life. The second book in the series will be available in December and I'll announce that shortly!

Pre-order the book here!

Where to Find Me at Web Summit 2025

Hello from Lisbon — hope to see you at Web Summit this week! I'll be speaking, emceeing, hosting a meetup and judging a startup competition. Here's where you can catch me:

• Tue Nov 11 at 11:30am: I'll be hosting a "Beyond the Stage" Meetup for founders and execs on successful Agentic A.I. projects (at Meetup Location 2).

• Tue Nov 11 at 3pm: I'll be a judge in the "Startup Pitch" competition (on Stage 9).

• Wed Nov 12 at 1:20pm: "Intro to Agentic A.I." afternoon-opening keynote on the Developer Summit stage.

• Wed Nov 12 from 1:40pm to 4pm: Emceeing the Developer Summit stage.

• Thu Nov 13 at noon: I'll be providing one-to-one guidance to tech startups on scaling effectively (this is at the official "Mentor Hours" location).

Thanks to Brendan Garrett and Jack Knox for inviting me back! Can't wait :)

One Million SuperDataScience Podcast Listens Per Quarter

We've cracked one million listens per quarter for the first time! No doubt buoyed by the mainstream A.I. fascination, but also thanks to our outstanding recent guests, our show had 1.06 million listens in Q1 2023 🍾

The chart shows episode downloads (on podcasting platforms) plus views (on YouTube) for each quarter since I took over as host of The SuperDataScience Podcast in January 2021.

Thank you for listening and providing thoughtful feedback on how we can improve the show. We have fantastic topics lined up for the coming weeks so I'm hopeful we can continue this growth trend in Q2. We're already off to a good start as the past week was — by some margin — the best week for listens in the show's history.

The SuperDataScience podcast is available on all major podcasting platforms, YouTube, and at SuperDataScience.com.

Live podcast recording with Hilary Mason at New York R Conference

Thanks to data science legend Hilary Mason and the engaging audience at the New York R Conference for making Friday's live-filmed episode of the SuperDataScience podcast an exhilarating and illuminating success ⚡️

Look out for Hilary's episode as #589, which will be released on July 5th.

TEDxDrexelU on Deep Learning

I'm giving my first TED-format talk at TEDxDrexelU in Philadelphia on May 21. I'll provide a visual intro to Deep Learning and to the momentous opportunity we have to shape a bewilderingly prosperous world with A.I.

There are only 100 tickets available for sale (for $15!) but my understanding is that my talk will eventually be made available on the TED YouTube channel if you can't make it in-person.

The other compelling speakers are:
• Ebony White, PhD
• Adit Gupta
• Dale Moss
• Nadia Christina Jagessar, MBA
• Dr. Nyree Dardarian
• Raja Schaar, IDSA

Event and ticket details available here.

SuperDataScience Podcast LIVE at MLconf NYC and ScaleUp:AI!

It's finally happening: the first-ever SuperDataScience episodes filmed with a live audience! On March 31 and April 7 in New York, you'll be able to react to guests and ask them questions in real-time. I'm excited 🕺

The first live, in-person episode will be filmed at MLconf NYC on March 31st. The guest will be Alexander Holden Miller, an engineering manager at Facebook A.I. Research who leads bleeding-edge work at mind-blowing intersections of deep reinforcement learning, natural language processing, and creative A.I.

A week later on April 7th, another live, in-person episode will be filmed at ScaleUp:AI. I'll be hosting a panel on open-source machine learning that features Hugging Face CEO Clem Delangue.

I hope to see you at one of these conferences, the first I'll be attending in over two years! Can't wait. There are more live SuperDataScience episodes planned for New York this year and hopefully it won't be long before we're recording episodes live around the world.

ScaleUp: AI Conference

At ScaleUp:AI in New York next month, I'll be moderating a panel on Open-Source Software that features Hugging Face CEO Clem Delangue. Other speakers include Andrew Ng, Allie K. Miller, and William Falcon.

Thanks to the folks at Insight Partners for putting together this high-octane, two-day event, in which you'll hear from the foremost thought leaders and investors on how to unlock your firm's A.I. growth potential.

So excited to be conferencing in-person again and I hope to be able to meet you there! There is a virtual option as well if you can't make it to New York. Whether in-person or virtual, you can use my code "JKAI35" to get 35% off 😀

Conference details/registration here.

Full speaker list here.

Courses in Data Science and Machine Learning

This week's guest is super fun Sadie St. Lawrence, an exceptionally popular data science instructor with over 300k students all-time. She fills us in on her exciting new ML Certificate and the global impact of her Women In Data org.

Sadie:
• Teaches data science at the University of California, Davis
• Her Coursera course is one of the all-time most popular
• Is Founder and CEO of Women in Data, a community of 20k across 15 countries
• Holds a Master's in Analytics from Villanova University

In this episode, she digs into:
• The content of her existing iconic data science course
• The curriculum of her epic forthcoming Machine Learning Certificate
• The mission, impact, and vision of the Women in Data organization
• Her path into data science from music performance
• Non-fungible tokens (NFTs) and the future of technology

Thanks to Harpreet Sahota for introducing me to Sadie! I absolutely loved filming this episode.

Listen or watch here.

"Math for Machine Learning" course on Udemy complete!

After a year of filming and editing, my "Math for Machine Learning" course on Udemy is complete! To celebrate, we put together this epic video that overviews the 15-hour curriculum in under two minutes.

Over 83,000 students have registered for the course, which provides an introduction to all of the essential Linear Algebra and Calculus that one needs to be an expert Machine Learning practitioner. It's full of hundreds of hands-on code demos in the key Python tensor libraries — NumPy, TensorFlow, and PyTorch — to make learning fun and intuitive.

You can check out the course here.

Translations of Deep Learning Illustrated – Now available in Traditional Chinese

My book, Deep Learning Illustrated, recently became available in Traditional Chinese alongside the existing Russian, German, and Korean translations. The new edition instantly became a #1-bestseller in Taiwan.

Thanks to Neville Huang for diligently translating to Traditional Chinese from the original English. Neville also tipped me off to the #1-bestseller status — I've put the screenshot he shared with me on LinkedIn.

O'Reilly + JK October & November ML Foundations LIVE Classes open for registration

We're halfway through my live 14-class "ML Foundations" curriculum, which I'm offering via O'Reilly Media. The first Probability class is on Wednesday with five of the seven remaining classes open for registration now:

• Oct 6 — Intro to Probability
• Oct 13 — Probability II and Information Theory
• Oct 27 — Intro to Statistics
• Nov 3 — Statistics II: Regression and Bayesian
• Nov 17 — Intro to Data Structures and Algorithms

The final two classes will be in December and are on Computer Science topics: Hashing, Trees, Graphs, and Optimization. Registration for them should open soon.

All of the training dates and registration links are provided at jonkrohn.com/talks.

A detailed curriculum and all of the code for my ML Foundations series is available open-source in GitHub here.

O'Reilly + JK October ML Foundations LIVE Classes open for registration

The Linear Algebra classes of my "ML Foundations" curriculum, offered via the O'Reilly Media platform, are in the rear-view mirror. Two Calculus classes are coming up soon and the Probability classes just opened for registration:

• Sep 15 — Calculus III: Partial Derivatives
• Sep 22 — Calculus IV: Gradients and Integrals
• Oct 6 — Intro to Probability
• Oct 13 — Probability II and Information Theory
• Oct 27 — Intro to Statistics

Overall, four subject areas are covered:
• Linear Algebra (3/3 classes DONE)
• Calculus (2/4 classes DONE)
• Probability and Statistics (4 classes)
• Computer Science (3 classes)

Hope to see you in class! Sign up opens about two months prior to each class. All of the training dates and registration links are provided at jonkrohn.com/talks

A detailed curriculum and all of the code for my ML Foundations series is available open-source in GitHub here.