
How Zillow Lost a Billion Dollars on an AI Bet Gone Wrong (with Jeremy Mumford & Jacob Miller)
3:30 · 8,946 plays
From the album Super Data Science: ML & AI Podcast with Jon Krohn
Description
For years, AI content has come in the form of “use this library, use this tool” tutorials that age out within months. Jacob Miller and Jeremy Mumford, co-authors of the brand new Wiley book Architected Intelligence, wanted to write something different, a guide to the higher-level principles of building AI products and AI-first organizations that will still be relevant in five or ten years. In this episode, the two Pattern engineers walk @JonKrohnLearns through the core ideas of their book: why you should design products and processes so they can be executed by a human, an AI agent, or any hybrid combination; why most companies are still treating hallucinations as a model problem when they’re actually a data curation problem; why the natural progression of AI development goes skills, workflows, agents, not straight to agents; and why velocity, not models or data, is the only durable competitive advantage left. Additional materials: https://www.superdatascience.com/993
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