
Episode #18
18: Why Can't AI Find the Gorilla?
Vincent Warmerdam of Marimo joins the Better Stack Podcast to talk Python notebooks, the CoreWeave acquisition, and why LLMs still can't analyze data. He breaks down how Marimo grew 5% a week to become the next evolution of Jupyter, why Python beat every compiled language for data science, and how a gorilla hidden in a dataset exposes the gap between AI doing the work and actually understanding it. Plus mechanical keyboards and RSI, PyPI supply chain attacks, vibe coding and skill atrophy, and the scrubbable IDE he built to make himself care about code again. Relevant LinksCalmCode YouTube: https://www.youtube.com/channel/UCoi0sH40GlLvNl9TZB40QegMarimo YouTube: https://www.youtube.com/@marimo-teamVincent Twitter: https://x.com/fishnets88❤️ More about usRadically better observability stack: https://betterstack.com/Written tutorials: https://betterstack.com/community/Example projects: https://github.com/BetterStackHQ SocialsTwitter: https://twitter.com/betterstackhqInstagram: https://www.instagram.com/betterstackhq/TikTok: https://www.tiktok.com/@betterstackLinkedIn: https://www.linkedin.com/company/betterstack Chapters:00:00 - Intro & the Keyboard Collection07:29 - Vincent's Background & Marimo15:09 - Purple-Pilled on AI20:48 - The Dynamite Balloon Story28:26 - Why Python Won Data Science36:51 - The Road to Marimo46:30 - CoreWeave & Supply Chain Attacks50:27 - Vibe Coding & Caring About Code1:02:19 - Where's the 10x Better Software?1:12:21 - Vincent's AI Setup1:15:47 - Turning the Tables on YouTube1:33:10 - The Gorilla Dataset

