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

Super Data Science: ML & AI Podcast with Jon Krohn, page 5

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 5

935: Global Issues Accelerated by AI (with Solutions), feat. Stephanie HareAI ethics and “technology ethics” as a practical, enforceable-in-spirit framework for maximizing benefits and minimizing harms; how to think about regulation (regulate “forks,” not “meals/use…28 Oct 2025 · 1 h 17 min · 28 chapters
934: Is AI Replacing Junior Workers?Whether generative AI is replacing junior (early-career) workers in the US, and how effects differ by age, job level, and company AI adoption.24 Oct 2025 · 7 min · 4 chapters
933: Future-Proofing Your Career in the AI Era, feat. Sheamus McGovernFuture-proofing careers in the AI era by “rewiring” skills for an environment where AI augments/automates work, shifting data science toward AI engineering, workflow orchestration, and especially…21 Oct 2025 · 1 h 15 min · 23 chapters
932: Should You Build or Buy Your AI Solution? With Larissa SchneiderWhether enterprises should build, buy, or blend AI solutions; Unframe’s “managed AI delivery platform” model that delivers tailored production-ready solutions quickly, with ROI-focused POCs and…17 Oct 2025 · 29 min · 13 chapters
931: Boost Your Profits with Mathematical Optimization, feat. Jerry YurchisinMathematical optimization for business decision-making—how to convert decision problems into an objective function with constraints to provably find optimal actions (or bound how close you are).14 Oct 2025 · 1 h 13 min · 23 chapters
930: In Case You Missed It in September 2025A “best-of September 2025” Super Data Science Podcast episode covering (1) AI alignment and existential risk, (2) what to buy for “AI PCs” (NPU/GPU tiers and Windows local AI), (3) how AI changes…10 Oct 2025 · 37 min · 7 chapters
929: Dragon Hatchling: The Missing Link Between Transformers and the Brain, with Adrian KosowskiAdrian Kosowski (Pathway) introduces “Dragon Hatchling” (BDH), a post-transformer architecture meant to bridge transformer attention with biological neuroscience, emphasizing Hebbian learning,…7 Oct 2025 · 1 h 14 min · 23 chapters
928: The “Lethal Trifecta”: Can AI Agents Ever Be Safe?The “lethal trifecta” security risk for AI agents: (1) access to private data (e.g., enterprise databases), (2) exposure to untrusted input (e.g., emails containing hidden instructions), and (3)…3 Oct 2025 · 6 min · 2 chapters
927: Automating Code Review with AI, feat. CodeRabbit’s David LokerAutomating software pull-request (PR) code review with agentic AI at CodeRabbit, emphasizing context engineering, hybrid agent/pipeline architectures, and enterprise security/governance.30 Sep 2025 · 1 h 19 min · 28 chapters
926: AI is Disrupting the Legal Industry: Are Paralegals Doomed?How AI is disrupting the legal industry, focusing on whether paralegals are “doomed” versus job augmentation.26 Sep 2025 · 5 min · 3 chapters
925: AI, Automation and the Future of Work, with Oxford’s Prof. Carl Benedikt FreyAI and automation’s impact on work and innovation; how progress depends on institutions and competition; why LLMs may struggle with frontier invention; and what individuals/governments should do as…23 Sep 2025 · 1 h 10 min · 22 chapters
924: 95% of Enterprise AI Projects Fail (Per MIT Research)MIT NANDA report claims 95% of enterprise AI projects fail to deliver measurable business impact, driven by the “Gen AI divide.” It contrasts high experimentation (40% AI pilots) with rare scaled…19 Sep 2025 · 5 min · 3 chapters
923: Graph Algorithms, GraphRAG and Causal Graphs, with Graph Guru Amy HodlerGraph data structures and graph algorithms, including graph fundamentals (nodes/edges, property graphs vs RDF triples), real-world applications (fraud/crime, recommendations, supply chain…16 Sep 2025 · 1 h 4 min · 23 chapters
922: AI for Manufacturing and Industry, with Hugo Dozois-CaouetteAI for industrial manufacturing via MaintainX’s CMMS/work-execution software, focusing on capturing industrial data, predictive/prescriptive maintenance, and generative AI copilots/agents for…12 Sep 2025 · 28 min · 11 chapters
921: NPUs vs GPUs vs CPUs for Local AI Workloads, with Dell’s Ish Shah and Shirish GuptaHow to choose between CPUs, GPUs, and NPUs (neural processing units) for local AI on client devices, plus when to run workloads locally vs in the cloud; includes Windows vs Linux setup and Dell’s…9 Sep 2025 · 1 h 12 min · 25 chapters
920: In Case You Missed It in August 2025August 2025 “In Case You Missed It” recap (Super Data Science Podcast #920) covering (1) why LLM post-training is becoming as important as pre-training, (2) agentic misalignment risks, (3) building…5 Sep 2025 · 22 min · 7 chapters
919: Hopes and Fears of AGI, with All-Time Bestselling ML Author Aurélien GéronAurélien Géron discusses the path from today’s ML to AGI—his hopes and fears—while also covering how his bestselling ML textbook evolved (TensorFlow to PyTorch), what to teach first, how to choose…2 Sep 2025 · 1 h 30 min · 35 chapters
918: Multi-Agent Systems with CrewAIMulti-agent systems and how the open-source Python framework CrewAI composes specialized AI agents into coordinated “crews” with roles, tasks, and handoffs for repeatable, auditable workflows.29 Aug 2025 · 9 min · 7 chapters
917: 8 Steps to Becoming an AI Engineer, with Kirill EremenkoDIY recipe for an 8-week AI engineering bootcamp (Super Data Science), covering the shift from prototypes to production deployments.26 Aug 2025 · 1 h 16 min · 23 chapters
916: The 5 Key GPT-5 TakeawaysJon Krohn summarizes “The 5 Key GPT-5 Takeaways” from OpenAI’s GPT-5 release (Aug 7), arguing that GPT-5 progress is on a predictable improvement curve and that it meaningfully reduces hallucinations…22 Aug 2025 · 10 min · 4 chapters
915: How to Jailbreak LLMs (and How to Prevent It), with Michelle YiTrustworthy AI, focused on how LLMs get “jailbroken” via adversarial attacks, data poisoning, prompt leakage/theft, and multimodal exploits; plus defenses like red teaming, systematic evaluation, and…19 Aug 2025 · 1 h 10 min · 32 chapters
914: Data Lakes 101 (and Why They’re Key for AI Models), with Oz KatzExplains data lakes vs data warehouses for AI, why multimodal AI makes data management messy, and how LakeFS uses Git-like versioning to keep data consistent and reproducible across training and…15 Aug 2025 · 26 min · 15 chapters
913: LLM Pre-Training and Post-Training 101, with Julien LaunayHow modern LLMs are trained and adapted, focusing on pre-training vs post-training (especially RLHF/RL), and how AdaptiveML applies reinforcement-learning pipelines to tailor smaller models for…12 Aug 2025 · 1 h 15 min · 27 chapters
912: In Case You Missed It in July 2025A July 2025 “In Case You Missed It” roundup (episode 912) covering data-centric machine learning (DMLR), benchmark contamination and alternatives, generative-AI risk in financial services (especially…8 Aug 2025 · 33 min · 9 chapters