Welcome back to AI pioneers . In this interview we speak to eminent computer scientist Gene Freuder, tracing constraint programming from the early days of machine vision to the rise of generative AI. We discuss the applications of constraint programming, where the field of AI might be headed, how to give a good conference talk, and more. Could you tell me a bit about your background and what drew you to the field of constraint programming? I started out with pure math as an undergrad until it became too abstract even for me, so I drifted towards mathematical logic. This might sound strange because some might say it's even more abstract, but I felt at least it had a subject - mathematics. And then I found myself in artificial intelligence. I was at the MIT AI lab, as a part of what was known as the Copy Demo project . This project had a machine vision component where a basic form of constraint processing was used.

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Illicit software on the computers of some of the world's best online poker players allowed the accused cheater to see what cards were in the victims' hands--and trounce them at the tables. In a fitting sign of the times, the hacker's carefully laid plans were foiled by an AI agent . It was September 25, 2026, and Alex, a professional online poker player, was using his Claude AI agent to review some play statistics. After Alex's SQL database crashed and needed to be reset, the Claude agent noticed something suspicious: A program called MeshAgent was operating in the background, where it seemed to be capable of capturing Alex's screen and even controlling his entire machine. Thanks to the Claude agent's report, Alex could see the program had been installed on April 24, and not by Alex himself. Alex says the agent identified 11 time-stamped events when the program had been capturing his screen based on graphic errors it caused during screen sharing instances.

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