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@jmlqban6d

At first, neural networks focus on word order like a puzzle. After reading enough, they suddenly shift to grasping meaning. This "phase transition" is like water flashing into steam. Discovering this hidden switch shows how models like ChatGPT learn. It points to ways to make them leaner, safer, and more predictable.
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