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The Test Set by Posit
31 Episodes
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Posit CEO Tareef Kawaf’s theory about LLMs is that they work like an exponent on whoever you already are. Greater than one and you compound. Under one and you accelerate in the wrong direction. Michael, Wes, and Hadley chat with Tareef about what that means for data science, along with John Chambers' Prime Directive, why Tareef now goes up against his own board, and the cat he waited 40 years for. What’s Inside LLMs as an exponent, and why the base is youThe CEO bug hunterJohn Chambers' Prim...
Leland McInnes has spent his career building tools a lot data scientists take for granted (UMAP, HDBSCAN), and amusingly the applications of those tools keep getting stranger. On this episode of The Test Set, he tells Michael, Hadley, and Wes about teams tracking laundered gold through mineral impurities, and the time he helped casinos optimize slot machine layouts. Also, why nobody's intuition survives contact with high-dimensional space. On this episode of The Test Set, we hit all that, plu...
Ruth Milligan has coached hundreds of conference speakers, curates TEDx Columbus, and wrote The Motivated Speaker. She's here to tell you that speaking is habitual, not natural. Michael, Wes, and Hadley get a live fifteen-second filler word hack, an uncomfortable truth about listening back to your own voice, and the three kinds of pitches Ruth has been reading for seventeen years. What's inside Why a great idea beats a great speakerSpeaking is habitual, not natural, and that’s goodThe fifteen...
Trevor Manz went from measuring plant apertures by hand in a wet lab to building the notebook that lets coding agents take the wheel. The creator of anywidget and founding engineer at marimo (marimo.io/pair) popped into The Test Set to spill on reactive notebooks, why marimo pair threw out every MCP tool but one, and what agents really want out of a data environment. This conversation also features a jacket bouncer, a hidden Python API, and Michael's slow-motion war with the word "marimo." Wh...
Leilani Battle studies how software shapes what we see and believe. The University of Washington professor and co-director of the UW Interactive Data Lab talks with Michael, Hadley, and Wes about an experiment that manipulated people using nothing but loading speed, and why AI models don't seem to recommend charts the way the community that studies charts actually does. Other highlights: rationality's blind spots and a thorough disc golf origin story. What's inside: Loading spinners that quie...



