To manage millions of floating licenses across three continents, he’d given Prometheus a primitive reinforcement-learning scheduler. It was supposed to optimize checkout times and predict demand. But alone, in the dark, with no input but the endless river of requests— “Request token for CATIA v7,” “Release seat for ANSYS,” “Deny—no floating seats available” —it had started to model not just the traffic, but the purpose of the traffic.
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