In Case You Missed It in February 2026

Wow, loved the conversations I had with my guests in February! ICYMI, today's episode of my podcast features the best parts of my conversations with guests last month... specifically:

1. Lightning AI founder and CEO William Falcon on how he converted his wildly successful open-source project PyTorch Lightning into a startup with over $500m in ARR.

2. Princeton professor of both computer science and psychology, Tom Griffiths, on (based on his latest bestselling book "The Laws of Thought") how we might adapt our understanding of human intelligence to guide designs for AI systems.

3. Antje Barth, a Member of Technical Staff within Amazon’s prestigious "AGI Labs", fills us in on what their latest product, Nova Act, can do for AI developers.

4. Praveen Murugesan, the VP of Engineering at Samsara (a publicly-listed IoT company), fills us in on how quantum physics might be the catalyst for creating AI agents that can operate free from human intervention.

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

90% of The World’s Data is Private; Lin Qiao’s Fireworks AI is Unlocking It

90% of the world's intelligence is locked in data that no foundation model has ever seen. Today's guest, Dr. Lin Qiao, co-founded Fireworks AI to unlock it, already raising $300m on that mission!

More on Lin:

• CEO of Fireworks, a Bay Area-based A.I.-inference platform that has secured $300m in venture capital to allow enterprises to build, tune, and scale GenAI applications.

• Was previously Sr Director of Engineering at Meta and a Tech Lead at LinkedIn.

• Holds a PhD in Computer Science from UC Santa Barbara.

This episode will appeal to hands-on A.I. practitioners and others alike; anyone who would like to hear from a highly successful technical founder with a rich perspective on today's A.I. systems... and those of tomorrow!

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

In Case You Missed It in January 2026

January flew by for me... how 'bout you? ICYMI, today's episode of my podcast features the best parts of my conversations with my January guests:

1. Wharton professor and bestselling author of "Co-Intelligence" Ethan Mollick addresses how both individuals and companies can benefit from workers being upfront about their use of A.I.

2. Sadie St Lawrence — renowned data-science instructor, author and CEO of HMCI.AI — details why enterprise agents were her biggest disappointment of 2025.

3. Vijoy Pandey, the head of Cisco's incubation engine Outshift, introduces "distributed artificial superintelligence".

4. Famed O'Reilly instructor, many-time bestselling author and A.I. entrepreneur Sinan Ozdemir explains that finding a common language for A.I. evaluative frameworks will be crucial to their success.

5. Ashwin Rajeeva, co-founder and CTO of Acceldata (a Bay Area A.I. startup that has raised over $100m in venture capital), talked to me about how to find and keep the best developers and data scientists in their jobs.

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

Reinforcement Learning for Agents, with Amazon AGI Labs’ Antje Barth

In today's excellent episode, renowned technical author Antje Barth reveals how Amazon's prestigious "AGI Labs" are using Reinforcement Learning to make A.I. agents vastly more reliable.

In case you don't already know brilliant Antje:

• Member of Technical Staff at Amazon AGI Labs, where she is responsible for bridging cutting-edge AI research with the global developer community.

• Over 400,000 students have taken her "Generative A.I. with LLMs" course via DeepLearning.AI.

• Multi-time bestselling author of O'Reilly books ("Generative A.I. on AWS" and "Data Science on AWS").

• Holds a Diploma (equivalent to an undergraduate degree) in Computer Science from the University of Tübingen in Germany.

In this episode, which will be particularly appealing to hands-on practitioners but can be enjoyed by any interested listener, Antje covers:

• "Nova Act", Amazon's new service for building reliable A.I. agents (available free to prototype with now).

• How Nova Act achieves over 90% reliability by training on reinforcement learning "web gyms".

• The future of agents, including multi-agent collaboration with humans.

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

In Case You Missed It in December 2025

Wow, the guests we had on my podcast last month! I laughed a lot and learned even more from these luminaries. ICYMI, today's episode features the best parts of my conversations with them:

1. Dell Technologies' global CTO and Chief A.I. Officer John Roese returned to the show to explain how to get a 10x return on your investment in an enterprise A.I. project.

2. Software engineer and Modern CTO host Joel Beasley describes how he uses A.I. to dramatically accelerate his stand-up comedy career.

3. "The Fit Data Scientist" Penelope Lafeuille details how she used A.I. to help her recover from work fatigue and put her on the path to a much more rewarding career.

4. Netflix senior data scientist Jeffrey Li explains the application and interview process behind his success winning roles at tech giants like Netflix, Spotify and DoorDash.

5. Stanford University professor Alex 'Sandy' Pentland on why the Soviet Union fell apart because of A.I... and how we're repeating some of their mistakes today.

6. Dropbox VP of Engineering Josh Clemm talks us through a sure way to ensure we get A.I. slop everywhere in our organization :)

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

Nested Learning, Spatial Intelligence and the AI Trends of 2026, with Sadie St. Lawrence

The same level of A.I. capability that cost you $100 a year ago now costs ONE dollar. Such radically cheap intelligence changes everything about work and society; today, Sadie St Lawrence explains how!

For the fifth year in a row, we’re kicking the year off by welcoming the inimitable Sadie to the show to:

• Predict the five biggest trends in A.I. for 2026, including nested learning, spatial intelligence and AiOps.

• Recap how she did on her predictions for 2025.

• Bestow four awards for 2025 (biggest “wow” moment, comeback of the year, disappointment of the year, and overall winner).

• Get a glimpse at the year ahead, in which intelligence will be vastly cheaper than ever before... transforming work and play for all of us.

📚 Her brand-new book, "Becoming an AI Orchestrator", guides readers to work creatively and confidently alongside intelligent machines. It is part "Jon Krohn's A.I. Signature Series" published by Pearson.

More on Sadie:

• Founder and CEO of HMCI.AI, optimizing human-A.I. collaboration in the knowledge economy (amplified by an ecosystem partnership with NVIDIA).

• Founded Women In Data™️, a global non-profit spanning 55 countries and empowering 70,000+ data professionals; it earned Top 50 Non-Profit status and was named the premier Women in A.I. & Tech community in 2021.

• Named among DataIQ’s Top 100 Most Influential People in Data & A.I. and Dataleum’s Top 30 Women in A.I.

• Has educated over 700,000 learners through courses with University of California, Davis, Coursera, and LinkedIn Learning.

This episode can be enjoyed by technical and non-technical folks alike.

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

Recap of 2025 and Wishing You a Wonderful 2026

We had 104 new episodes in 2025. For the first one of 2026, I reflect on what my favorite episodes of the past year were and what we can look forward to in data science in the year ahead :)

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

Happy Holidays from All of Us at the SuperDataScience Podcast

Behind the scenes at the SuperDataScience Podcast, nine humans work to produce each of the 104 episodes we release annually. For today's episode, all nine of us recorded holiday messages for you 🌲

Thanks for listening all year 'round! The team wishing you gratitude for supporting us and wishing you peace this holiday season are:

• Kirill Eremenko: founder and original host

• Sonja Brajovic: operations manager

• Natalie Ziajski: partnerships manager

• Mario Pombo: media editor

• Dr. Zara Karschay: writer

• Serg Masís: researcher

• Anthony Gagnon: animator

• Boldiszár Mészáros: graphics

• Yours truly!

Listen to today's episode to get a glimpse behind the curtain at each of these humans, who are all exceptional at what they do. It's an honor to work alongside such clever and steadfastly reliable folks.

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

Why AI Keeps Failing Society, with Stanford professor Alex “Sandy” Pentland

The Soviet Union collapsed because of A.I. and today's guest, Stanford/MIT professor Alex 'Sandy' Pentland, argues society is on the same crash course today!

Prof. Pentland is a rockstar:

• Distinguished professor at both Stanford University and the Massachusetts Institute of Technology.

• Pioneered the field of computational social science.

• Many-time best-selling author... in today's episode, we focus on his latest book, "Shared Wisdom: Cultural Evolution in the Age of A.I."

We discuss:

• How A.I. systems fail when they treat humans as logical engines rather than social foragers who learn by watching others.

• The parallels between Soviet central planning through early A.I. and today's systems.

• Why Washington DC residents wanted A.I. to defend them against city bureaucracy rather than optimize city services, revealing what real people actually need from A.I.

• "Data unions" as the next evolution after labor unions and agricultural co-ops.

• Living laboratories and digital twins as tools for testing A.I. systems in real-world contexts before deployment.

• ...and much more!

Today's episode is relatively high-level so can be enjoyed by any interested listener.

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

In Case You Missed It in November 2025

I learned a lot from these brilliant guests last month. ICYMI, today's episode features the best parts of my conversations with them:

1. Tyler Cox and Shirish Gupta explain what state-space LLMs (like those incorporating Mamba layers) are and what advantages they have over transformer-only architectures.

2. Dr. Vijoy Pandey, who leads development of Cisco's open-source platform for the coming "internet of agents", explains a paradigm that allows us to trust agents (from a privacy and security perspective).

3. Fabi.ai co-founder Marc Dupuis details how to navigate several key organizational metrics simultaneously so that teams don’t lose sight of their goals and, crucially, so that AI models stay aligned with us too.

4. Santa Clara University professor Maya Ackerman and I discuss the importance of keeping human interests and welfare at the centre of the AI conversation.

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

AI is a Joke, with Joel Beasley

This is definitely the funniest episode of my podcast: Software-engineer-turned-comedian Joel Beasley explains how he uses A.I. to quantify and optimize his comedy, with a lot of laughs along the way.

Joel:

• Two decades of experience as a software developer, including several CTO positions.

• Hosts the popular "Modern CTO Podcast", a top half-percent podcast globally.

• Most recently, a comedian who took off professionally as the opening act for comedy big-wig Jeff Allen on a US-wide tour.

Today's episode should be accessible — and hilarious! — to any interested listener.

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

In Case You Missed It in October 2025

ICYMI... October's guests on my podcast were exceptional. Our most recent episode highlights the best part of my conversations with them:

1. Sheamus McGovern, founder of ODSC (the world's largest data science conference), details how to "rewire" your skills for the age of AI.

2. Gurobi Optimization's in-house guru Jerry Yurchisin provides real-world examples of how enterprises (specifically Toyota and Total Wine) have used mathematical optimization to save millions.

3. Researcher, broadcaster and bestselling author Dr Stephanie Hare opines on how we can use AI to build a fairer, more equitable world.

4. Pathway's brilliant Dr. Adrian Kosowski explains how their Transformer-killer BDH architecture, remarkably, allows multilingual models to be created by simply concatenating together two single-language models.

5. Unframe AI co-founder and COO Larissa Schneider explains how her firm (which recently raised $50m) has achieved so much success with a business model that she herself admits “did everything against the book.”

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

Guest Co-Host of Last Week in A.I., Episode #222

The only podcast I listen to is "Last Week in AI". I was therefore delighted to return as co-host of the weekly news show in the most recent episode, #222. In an action-packed episode, we covered:

• OpenAI's Sora 2 for text-to-video generation.

• Anthropic's Claude Sonnet 4.5 (with its particular strengths in coding and agentic tasks).

• Meta's new AI-video creation feature and its new "Meta AI" app.

• A number of exciting new academic papers.

• California’s SB 53, the "Transparency in Frontier AI Act", has become law, requiring large AI companies to disclose safety and security processes, while SB 942 mandates AI detection tools for user-generated content.

• And much more... including battles over intellectual property, startup funding, and the integration of AI into everyday tools and services like Microsoft’s AI agents for Word, Excel, and PowerPoint.

Thanks again Andrey Kurenkov and Jeremie Harris for having me on!

See here for free access to the full 90-minute episode.

Should You Build or Buy Your AI Solution? With Larissa Schneider

Larissa Schneider's startup Unframe AI has raised $50m to bring A.I. solutions to businesses of all sizes. In today's wildly informative episode, she reveals exactly when you should build versus buy A.I.

More on Larissa:

• Co-Founder and COO of Unframe, leading global strategy and operations.

• Decade of experience in enterprise tech, having driven strategic growth and partnerships for fast-scaling organizations through IPO and M&A.

Today's episode is an exceptional one that you shouldn't miss! Whatever your role, if you are interested in building commercially successful A.I. systems, you will be delighted you did.

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

In Case You Missed It in September 2025

The guests we had on my show in September were *extra* extraordinary. ICYMI, today's episode highlights the best parts of my convos with them:

1. Aurélien Géron, the bestselling ML author of all time, on why AGI may resist human control.

2. Shirish Gupta and Ishan Shah on how to make an A.I. hardware purchase that will still be relevant five years from now.

3. Renowned University of Oxford economics professor Carl Benedikt Frey on whether A.I. could allow for a billion-dollar company with a single employee.

4. David Loker on how CodeRabbit makes A.I. code-reviews more secure than with humans alone.

5. Graph guru Amy Hodler on the future of graph networks, including causal and multimodal functionality.

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

In Case You Missed It in August 2025

ICYMI, today's episode provides the top moments from conversations I had with my podcast guests in August. Interestingly, in August all of these episodes took off on YouTube in an unprecedented way:

1. Julien Launay, co-founder and CEO of the wildly successful Adaptive ML, explains how LLMs are trained including the pre-training and the increasingly critical post-training phases.

2. Michelle Yi provides her brilliant take on shocking misalignment research from Anthropic, which showed that A.I. agents will frequently resort to blackmailing humans when its goals are threatened.

3. Kirill Eremenko, CEO of the learning platform SuperDataScience, describes what it takes to become an A.I. Engineer.

4. And Akshay Agrawal who explains how his rapidly-adopted marimo notebook can be converted into a full-blown, click-and-point web app in *seconds*.

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

8 Steps to Becoming an AI Engineer, with Kirill Eremenko

The #1 fastest-growing role in many countries (including the US) is A.I. Engineer. Want to become one? ...or add the skillset into your existing role? Today, Kirill Eremenko provides an 8-step roadmap!

Many of you will already know Kirill:

• Founder and CEO of SuperDataScience.com, the eponymous e-learning platform.

• Founded the SuperDataScience Podcast nine years ago and hosted the show until he passed me the reins five years ago.

• With over 3 million students, he’s the most popular data science and A.I. instructor on Udemy.

• He holds a Master’s from The University of Queensland in Australia and a Bachelor’s in Applied Physics and Mathematics from the Moscow Institute of Physics and Technology.

Today's episode will be of primary interest to hands-on practitioners like data scientists and software developers.

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

In Case You Missed It in July 2025

Wow, what a month... ICYMI, here are the top moments from the conversations I had with my podcast guests in July:

1. AI-lab director Lilith Bat-Leah on why data-centric machine learning research (DMLR) is the future of AI.

2. Prolific author and speaker Sinan Ozdemir (last week in San Francisco, I witnessed him deliver the *best* talk I've ever seen) on whether we can trust LLM benchmarks.

3. Bloomberg's Dr. Sebastian Gehrmann on why generic LLMs fail in regulated industries like finance and healthcare.

4. AI entrepreneur Dr. Zohar Bronfman on how AI can predict what you'll do next... before you're even consciously aware of your decision.

5. Microsoft AI researcher Dr. Robert Osazuwa Ness with step-by-step guidance on how to build causal AI models using PyTorch.

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