Super Data Science: ML & AI Podcast with Jon Krohn cover art
Podcast · 130 episodes

Super Data Science: ML & AI Podcast with Jon Krohn, page 3

by Jon Krohn · English

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.

All episodes, page 3

983: AI in the Classroom: How a Top Elementary School Is Doing It Right, with Principal Traci Walker GriffithHow Principal Traci Walker Griffith’s Boston Public School (Elliott School, K-8) transformed from a closure list school into Boston’s top-performing school and used AI to accelerate writing and…14 Apr 2026 · 1 h 13 min · 28 chapters
982: In Case You Missed It in March 2026A March 2026 “In Case You Missed It” recap (episode 982) featuring highlights from prior Super Data Science Podcast interviews: AI for personalized education, AI agents/world models for exploration,…10 Apr 2026 · 44 min · 14 chapters
981: How Data Engineers Are “10x’ing” Themselves With Agents, feat. Matt GlickmanMatt Glickman (ex-Goldman Sachs, later Snowflake product leader) argues that “February 2026” model advances create an “event horizon” for enterprise AI.7 Apr 2026 · 1 h 15 min · 28 chapters
980: AI Making Theoretical Physics BreakthroughsHow OpenAI models helped theoretical physicists crack “single minus” scattering amplitudes in particle physics, producing two arXiv preprints (gluon results Feb 12, graviton results Mar 4) and formal…3 Apr 2026 · 10 min · 4 chapters
979: Agentic Data Management and the Future of Enterprise AI, with Rohit ChoudharyAgentic Data Management (ADM) for enterprise AI—why enterprise data will grow ~10x/year, how to make data “AI-ready,” and why governance and monitoring must shift from end-of-pipeline compliance to…31 Mar 2026 · 1 h 5 min · 32 chapters
978: A Post-Transformer Architecture Crushes Sudoku (Transformers Solve ~0%)Pathway’s post-transformer “BDH” architecture is tested on the Sudoku Extreme benchmark (~250,000 hardest Sudoku puzzles) and reportedly crushes it, exposing a weakness in transformer LLMs on…27 Mar 2026 · 11 min · 5 chapters
977: Attention, World Models and the Future of AI, with Prof. Kyunghyun ChoKyunghyun Cho discusses attention and “world models” as key steps toward more capable, sample-efficient AI, emphasizing active data collection and latent-space planning rather than pixel-by-pixel…24 Mar 2026 · 1 h 18 min · 37 chapters
976: NVIDIA’s Nemotron 3 Super: The Perfect LLM for Multi-Agent SystemsNVIDIA’s newly released Nemotron 3 Super (120B parameters, 10% active via mixture-of-experts) and why its hybrid Mamba+transformer design, latent MOE, multi-token prediction, and 1M-token context…20 Mar 2026 · 10 min · 5 chapters
975: Unmetered Intelligence is Heralding the Next Renaissance, with Zack KassZack Kass argues that society’s “doom” narratives are misleading and that cheap, abundant “unmetered intelligence” from AI will trigger a new Renaissance—freeing individuals to be more human.17 Mar 2026 · 1 h 13 min · 22 chapters
974: When Will The AI Bubble Burst? How Bad Will It Be?Whether the current “AI bubble” will burst, and how a burst could still leave society with lasting infrastructure and cheaper compute, similar to dot-com telecom fiber and other past manias.13 Mar 2026 · 14 min · 4 chapters
973: AI Systems Performance Engineering, with Chris FreglyAI systems performance engineering—how to co-optimize hardware, OS/driver stack, CUDA/PyTorch, and algorithms for efficient GPU training and especially inference (including KV cache, prefill/decode,…10 Mar 2026 · 1 h 12 min · 24 chapters
972: In Case You Missed It in February 2026February 2026 “In Case You Missed It” compilation from Super Data Science Podcast #972, featuring clips on (1) turning PyTorch Lightning into a revenue-generating startup, (2) how human cognitive…6 Mar 2026 · 27 min · 8 chapters
971: 90% of The World’s Data is Private; Lin Qiao’s Fireworks AI is Unlocking ItFireworks AI’s effort to “unlock” private enterprise data for LLM training/inference via autonomous intelligence—continuous, automated customization of open models per application/use case—aiming for…3 Mar 2026 · 1 h · 20 chapters
970: The “100x Engineer”: How to Be One, But Should You?“100x engineer” productivity using AI code-generation agents; how to leverage them without losing quality.27 Feb 2026 · 15 min · 3 chapters
969: The Laws of Thought: The Math of Minds and Machines, with Prof. Tom GriffithsTom Griffiths (Princeton) explains “The Laws of Thought,” a mathematical theory linking logic/statistics (from George Boole to modern AI) to how minds work.24 Feb 2026 · 1 h 11 min · 26 chapters
968: Is AI Automating Away All Coding Jobs?Whether recent AI (OpenAI/Anthropic, autonomous agents) will eliminate coding and other white-collar jobs; argues against “doomsday” narratives and emphasizes task automation vs job replacement.20 Feb 2026 · 15 min · 6 chapters
967: AI for the Physical World, with Samsara's Praveen MurugesanHow Samsara applies edge AI and cloud AI to “physical world” operations—covering safety, efficiency, and compliance—using massive real-world data (20 trillion data points; 90 billion miles annually),…17 Feb 2026 · 55 min · 23 chapters
966: The Moltbook Phenomenon: OpenClaw UnleashedMoldbook, an AI-agent-only social network launched Jan 28 by Matt Schlicht (CEO, Octane AI), powered by OpenClaw, an open-source, privacy-first agent framework by Austrian engineer Peter Steinberger.13 Feb 2026 · 10 min · 5 chapters
965: From PhD Side Project to $500M ARR: Will Falcon’s PyTorch Lightning StoryLightning AI’s CEO Will Falcon explains how Lightning AI evolved from an open-source training framework (PyTorch Lightning) into a “full-stack AI neocloud” after merging with Voltage Park, combining…10 Feb 2026 · 1 h 17 min · 34 chapters
964: In Case You Missed It in January 2026January 2026 “In Case You Missed It” roundup (episodes 962–957, 961, 959).6 Feb 2026 · 25 min · 11 chapters
963: Reinforcement Learning for Agents, with Amazon AGI Labs’ Antje BarthAmazon AGI Labs’ Antje Barth discusses Nova Act, a new AWS service for building reliable browser UI automation agents.3 Feb 2026 · 51 min · 21 chapters
962: Wharton Prof Ethan Mollick on Why Your AI Strategy Is Already ObsoleteEnterprise AI strategy is already outdated; organizations should shift from “talk-to-documents” and consultant-led rollouts toward internal experimentation, co-intelligence modes, and incentives that…30 Jan 2026 · 12 min · 6 chapters
961: Distributed Artificial Superintelligence, with Dr. Vijoy PandeyDistributed artificial superintelligence (DASI) via multi-agent “cognitive evolution” in machines.27 Jan 2026 · 1 h 9 min · 25 chapters
960: In Case You Missed It in December 2025A December 2025 “In Case You Missed It” roundup of Super Data Science Podcast clips on enterprise GenAI ROI, avoiding “work slop,” human-context system design, and using AI for personal productivity…23 Jan 2026 · 41 min · 14 chapters