Super Data Science: ML & AI Podcast with Jon Krohn
Jon Krohn
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 conversation with the biggest names in the data science industry, Jon cuts through hype to fuel that professional impact.Whether you're curious about getting started in a data career or you're a deep technical expert, whether you'd like to understand what A.I. is or you'd like to integrate more data-driven processes into your business, we have inspiring guests and lighthearted conversation for you to enjoy.We cover tools, techniques, and implementation tricks across data collection, databases, analytics, predictive modeling, visualization, software engineering, real-world applications, commercialization, and entrepreneurship − everything you need to crush it with data science.
Episodes
Mentioned books
56 snips
Feb 27, 2026 • 15min
970: The “100x Engineer”: How to Be One, But Should You?
A fast look at how code-generation tools are creating super-productive engineers who program through AI agents. Stories about Karpathy moving to agentic, English-first coding and Steinberger’s viral multi-agent workflow that outpaced teams. Discussion of why more planning and specs matter when agents do the typing and the risks of skill atrophy and overreliance on AI.
94 snips
Feb 24, 2026 • 1h 11min
969: The Laws of Thought: The Math of Minds and Machines, with Prof. Tom Griffiths
Tom Griffiths, Princeton professor bridging psychology and computer science, explores mathematical models of thought and AI. He discusses probabilistic versus symbolic approaches, how autoregressive training shapes LLM behavior, engineering inductive biases and meta-learning, and modeling curiosity as information-seeking. Short, clear dives into building and evaluating minds and machines.
55 snips
Feb 20, 2026 • 15min
968: Is AI Automating Away All Coding Jobs?
A data-driven look at whether AI is erasing coding careers, with surprising labor-market numbers since late 2022. Topics include which white-collar roles are actually growing, how technology upgrades jobs instead of just replacing them, emerging AI-related occupations, and practical actions technical professionals can take to stay resilient.
25 snips
Feb 17, 2026 • 55min
967: AI for the Physical World, with Samsara's Praveen Murugesan
Praveen Murugesan, VP of Engineering at Samsara who leads AI and edge-to-cloud work for transportation and logistics. He talks about processing massive sensor and video datasets, edge AI that works offline in long-haul vehicles, tiny models and Video LLMs for non-experts, routing and quantum possibilities, and what Samsara looks for when hiring.
70 snips
Feb 13, 2026 • 10min
966: The Moltbook Phenomenon: OpenClaw Unleashed
A new social network built just for AI agents and how it quickly spawned surprising online societies. The rise of agent-made religions, markets, and governments and what that reveals about emergent behavior. A major data leak that exposed private keys and messages and the lessons it teaches about security. Practical steps for safely running powerful agent frameworks in controlled environments.
43 snips
Feb 10, 2026 • 1h 17min
965: From PhD Side Project to $500M ARR: Will Falcon’s PyTorch Lightning Story
Will Falcon, CEO and co‑founder of Lightning AI and creator of PyTorch Lightning, built a full‑stack AI neo‑cloud after a PhD side project. He discusses the Voltage Park merger, GPU‑first neo‑clouds and scalable Studio dev environments. He also recounts PyTorch Lightning’s open‑source rise, inference tooling, and ways to bridge talent and compute gaps.
31 snips
Feb 6, 2026 • 25min
964: In Case You Missed It in January 2026
Sinan Ozdemir, O'Reilly educator and AI entrepreneur who builds evaluation frameworks. Vijoy Pandey, Cisco researcher exploring distributed artificial superintelligence and collective intelligence. They discuss why task-specific evaluation matters beyond simple accuracy. They explore precision versus recall tradeoffs. They compare human language evolution to shared intent in large-scale AI systems.
78 snips
Feb 3, 2026 • 51min
963: Reinforcement Learning for Agents, with Amazon AGI Labs’ Antje Barth
Antje Barth, technical staff and developer relations lead at Amazon AGI Labs and bestselling O’Reilly author, discusses Nova Act and building reliable AI agents. She describes the playground for rapid prototyping, RL web gyms that train agents on thousands of UI tasks, benchmarks and observability for production reliability, and security and AWS integrations for safe deployments.
111 snips
Jan 30, 2026 • 12min
962: Wharton Prof Ethan Mollick on Why Your AI Strategy Is Already Obsolete
Ethan Mollick, Wharton associate professor who co-directs the Generative AI Lab and wrote Co-Intelligence, explores how AI shifts collaboration and management. He discusses AI acting like teammates, why firms should run internal experiments instead of relying on consultants, frameworks for adoption (leadership, lab, crowd), and using frontier models now to learn and capture hidden productivity gains.
45 snips
Jan 27, 2026 • 1h 9min
961: Distributed Artificial Superintelligence, with Dr. Vijoy Pandey
Dr. Vijoy Pandey, head of Cisco’s OutShift and researcher-executive focused on multi-agent systems, discusses building distributed artificial superintelligence. He covers multi-agent collaboration instead of isolated AIs. He explains semantic protocols for shared intent, a cognitive memory fabric for persistent knowledge, and how agent societies could accelerate drug discovery, climate action, and innovation.
