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Tanya Zhuk May 10, 2026 We are quickly forgetting that AI systems, LLMs, agents, and recommendation tools are still mathematical architectures decoding human behavior into patterns. They are designed to identify, learn, and predict patterns from human behavior. At their core, they solve probabilistic “if, then” problems — and from those probabilities they begin recommending, reinforcing, and optimizing behavior. But with every interaction, these systems quietly log patterns o