Мужчина ворвался в прямой эфир телеканала и спустил штаны

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В российском городе дерево рухнуло на жилой дом20:51

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The idea is simple: use an existing LLM to estimate the probability of each word appearing in a given sentence. If nearly every word ranks high in the LLM’s predictions (e.g., in the Top-N), the sentence is likely AI-generated. Conversely, if many words are unexpected, it’s more likely human-written.

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Picture two engineers on the same team. Engineer A gets assigned a feature. She looks at the problem, considers a few options, and picks the simplest. A straightforward implementation, maybe 50 lines of code. Easy to read, easy to test, easy for the next person to pick up. It works. She ships it in a couple of days and moves on.