Real Life Superpowers
Real Life Superpowers
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E99 - Zohar Bronfman (Co-founder and CEO of Pecan AI)
• 57 minDr. Zohar Bronfman - The Limits of Knowing Dr. Zohar Bronfman is the co-founder and CEO of Pecan AI, a predictive AI company he started with his academic partner Noam Brezis. Before becoming an entrepreneur, Zohar spent years studying the human mind, earning two PhDs spanning philosophy of mind and computational cognitive neuroscience. Today, Pecan has raised more than $117 million and is working to make predictive AI accessible to businesses without requiring teams of data scientists. But this conversation is as much about the limits of intelligence as it is about AI. Don't outsource the cognitive workout Zohar uses AI constantly. But there's one thing he deliberately doesn't use it for. Writing. If he needs to write a strategy document, a memo or simply articulate his thoughts, he writes it himself. Only when he's finished does he run it by AI. Why? Because convenience has a cost. "The moment we lose ourselves to convenience, I think it's like not working out in the gym and only driving in the car." Stop using a cognitive capability and, like a muscle, it deteriorates. Ignorance protected him Zohar went directly from academia into entrepreneurship. No corporate career. No experience running an organization. No experience building a go-to-market machine. "Sometimes you're just too ignorant to understand how deep is the pool." "I didn't realize how challenging running a company is, and I think that ignorance protected me." Two kinds of mistakes The first are mistakes you couldn't reasonably have prevented. Pecan once spent a year building a predictive use case the team believed could become a major part of the business. They researched the market. Interviewed customers and prospects. Studied competitors. Tested the technology and go-to-market assumptions. And they were wrong. Zohar can live with that kind of mistake. "We operate in a very high level of uncertainty. By definition, as startups, if we knew what was the right thing, it wouldn't be a startup." The second kind bothers him much more: mistakes caused by overconfidence. The moments when someone presents another perspective and you don't really listen because you've already decided you're right. "I knew when the discussion took place that I am not open to entertaining this option." That's become his warning signal. What stays after this episode The more sophisticated our tools for knowing become, the more important it may become to recognize what we don't know. Not as weakness. As a condition for learning.
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