
For this landmark 1,000th episode and the show’s 10-year anniversary, host @JonKrohnLearns is joined by SuperDataScience founder Kirill Eremenko, who hosted the podcast for its first 400-plus episodes before handing over the reins. In a first for the show, the episode was recorded live with the audience invited to join on air, alongside surprise appearances from the team, longtime guests, and even Jon’s family. Together, Jon Krohn and Kirill look back on a decade of the podcast and field listener questions on AI’s biggest opportunities, the build-versus-buy dilemma, how to break into the field today, and how to stay grounded amid the relentless pace of AI. In this episode you will learn: • (00:00:00) Introduction • (00:02:35) Why Kirill founded the SuperDataScience podcast back in 2016 • (00:12:20) Jepson Taylor’s challenge: what would you fix with $10 billion? • (00:25:46) The video-first pivot that grew the YouTube channel 10x • (00:31:06) A framework for deciding when to build vs. buy AI • (00:36:30) How education should teach students to use AI safely • (00:43:13) Kirill’s “two speeds of AI”: research vs. adoption • (00:46:49) The best way to break into the AI field today Additional materials: https://www.superdatascience.com/1000

The AI Model That Finally Beat Me (with Jon Krohn)

917: 8 Steps to Becoming an AI Engineer — with Kirill Eremenko

899: Landing $200k+ AI Roles: Real Cases from the SuperDataScience Community — with Kirill Eremenko

853: Generative AI for Business — with Kirill Eremenko and Hadelin de Ponteves

771: Gradient Boosting: XGBoost, LightGBM and CatBoost — with Kirill Eremenko