Super Data Science: ML & AI Podcast with Jon Krohn

Jon Krohn 1883 - 1028: The Chip Built for Agentic AI Inference, with SambaNova's Anton McGonnell

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.

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18 sep. 2026

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31 mar. 2026

Super Data Science: ML & AI Podcast with Jon Krohn

Episodios

1028: The Chip Built for Agentic AI Inference, with SambaNova's Anton McGonnell

1027: Building an Always-On AI Agent for Busy Parents, with Dr. Dilani Kahawala

1026: OpenAI’s GPT-6 Astra

1025: Word Gravity: How Transformers Bend Space, with Dr. Luis Serrano

1024: In Case You Missed It in August 2026

1023: Agentic AI Skills That Matter Now, with Aishwarya Srinivasan

1022: CLAUDE.md, AGENTS.md, Skills, Hooks and Subagents: A Field Guide to Steering AI Agents

1021: How dbt Won Analytics Engineering, with dbt Lab’s CEO Tristan Handy

1020: How to Choose Model Size and Effort Level: The Two Critical Dials

1019: Anyone Can Write Code Now, So What Gets You Hired? (With Priyanka Vergadia)

1018: Alibaba's Qwen3.8-Max: Open-Weight Model Surpasses Most American Frontier Labs

1017: Vector Search, Agentic Memory and Effective RAG, with MongoDB’s Pete Johnson

1016: In Case You Missed It in July 2026

1015: Mathematical Optimization in the Agentic AI Era, with Gurobi's Jerry Yurchisin

1014: OpenAI Agent Breaches Hugging Face: All You Must Know incl. How to Protect Yourself

1013: Weapons of Math Destruction, Ten Years On, with Dr. Cathy O’Neil

1012: The Open-Weight 2.8-Trillion Parameter Competing at the Frontier

1011: The Math Still Matters: Deep Skills in the Age of AI, with Dr. Catherine Williams

1010: Fable 5 as Advisor: Anthropic's Two-Model Pattern for Smarter, Cheaper Agents

1009: How AI Is Quietly Saving Lives, with Steve Mock

1008: The AI-Native Startup Playbook

1007: How to Find Solid Career Ground in the AI Era, with 80,000 Hours Founder Ben Todd

1006: In Case You Missed It in June 2026

1005: People Skills for Analytical Thinkers, with Bestselling Author Gilbert Eijkelenboom

1004: Recursive Self-Improvement

1003: Building an AI Data Center End to End, with Lightning AI’s Frank Basso

1002: Fable 5: The Full Story from Capabilities to Drama

1001: How AI Erased My Career Moat, an Episode #1001 Special: Jon Krohn interviewed by Kirill Eremenko

1000: Ten Years of the Super Data Science Podcast, with Jon, Kirill and Special Guests

999: What's Left to Build When Software Is Free, with Chip Huyen

998: In Case You Missed It in May 2026

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

996: TrueFoundry’s Nikunj Bajaj on How to Get $100M Returns on AI Agent Deployments

995: End-to-End Foundation Models for the Energy Industry, with Jazmia Henry

994: AI’s Putting Recent Grads Out of Work; Here’s How to Get Hired Anyway!

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

992: Tokenmaxxing vs AI Hardware Bottlenecks

991: Pair Programming with AI in Your Python Notebook, with Dr. Trevor Manz

990: Inside Mythos: Anthropic's Locked-Down Frontier Model

989: Security for Mythos-Era Agentic Risks, with Rubrik’s Anneka Gupta and Cal Al-Dhubaib

988: In Case You Missed It in April 2026

987: AI Infrastructure, Ray, and Why Nonlinear Careers Win, with Linda Haviv

986: Building Hardware is Hard but AI Agents Help, with Kishore Subramanian

985: The Four Types of Memory Every AI Agent Needs, with Richmond Alake

984: Building AI Agents Where 99.9% Accuracy Isn't Good Enough, with Raju Malhotra

983: AI in the Classroom: How a Top Elementary School Is Doing It Right, with Principal Traci Walker Griffith

982: In Case You Missed It in March 2026

981: How Data Engineers Are “10x’ing” Themselves With Agents, feat. Matt Glickman

980: AI Making Theoretical Physics Breakthroughs

979: Agentic Data Management and the Future of Enterprise AI, with Rohit Choudhary