Is today’s AI built on a flawed foundation? In this episode of AI Rebels, Alexander Naumenko, software developer turned AI theorist, challenges the dominant paradigms of logic-driven and statistical AI. Drawing from his concept of "semantic binary search," Naumenko proposes a new model of intelligence inspired by the game 20 Questions—where intelligence is about selecting the best option under constraints, not predicting outcomes. He argues that true intelligence hinges on recognizing relevant differences and defining features, not statistical similarity. His vision? A radical rethinking of AI—one that may finally bring us closer to real general intelligence.
