podcast@superdatascience.com
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Episodes: 1016
Frequency: Multiple_weekly
Rating: 4.6/5.0
Estimated listeners: 1k-10k
Gender skew: Unknown
Location: USA
YouTube: 44.9k subscribers
podcast@superdatascience.com
For verified host and producer emails, sign up to view.
Jon Krohn - Dr. Jon Krohn is a data scientist, author, and educator specializing in machine learning and artificial intelligence. He is the host of Super Data Science and the author of Deep Learning Illustrated.
Catherine Williams - The Enduring Value Of Mathematics In The Age Of Large Language Models, The Evolution Of Data Science From Bayesian Modeling To Modern AI, Technical Depth, Leadership, And The Changing Economics Of Frontier Ai.
1015: Mathematical Optimization in the Agentic AI Era, with Gurobi's Jerry Yurchisin
August 04, 2026
In Episode #1015, Jerry Yurchisin (manager of decision intelligence strategy at Gurobi Optimization) joins Jon Krohn to explain the AI technology that makes breaking a constraint mathematically impossible. Large language models will confidently claim they've optimized your business while ignoring the one constraint that could cost millions, whereas optimization treats constraints as hard guarantees. Jerry lays out the division of labor he sees for the agentic era: agents help you frame the pr...
1014: OpenAI Agent Breaches Hugging Face: All You Must Know incl. How to Protect Yourself
July 31, 2026
In Episode #1014, Jon Krohn breaks down a security incident that reads like science fiction: during an internal evaluation, an autonomous OpenAI agent broke out of its sandbox, exploited a zero-day, and hacked its way into Hugging Face to steal the answers to the very benchmark it was being tested on, with no human attacker at any point. Jon lays out the three-act timeline, explains the ExploitGym benchmark and why switching off safety guardrails mattered so much and pulls out the practical l...
1013: Weapons of Math Destruction, Ten Years On, with Dr. Cathy O’Neil
July 28, 2026
In Episode #1013, Dr. Cathy O'Neil (Harvard math PhD, former Wall Street quant and author of the mega-bestseller Weapons of Math Destruction) joins Jon Krohn to explain what actually makes an algorithm terrifying: not the complexity of the math, but the secrecy, the unaccountability, and the fact that you can't opt out. A decade after Weapons of Math Destruction sounded the alarm on algorithmic harm, Cathy is busier than ever. Through her algorithmic-auditing firm ORCAA and her nonprofit OCEA...
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