Unlearning to Build Great AI Apps

Product strategies from Classical ML to adapt (or ditch) for the generative AI world

Years ago, the first piece of advice my boss at Opendoor gave me was succinct: “Invest in backtesting. AI product teams succeed or fail based on the quality of their backtesting.” At the time, this advice was tried-and-true; it had been learned the hard way by teams across search, recommendations, life sciences, finance, and other high-stakes products. It’s advice I held dear for …

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