The mental model, the AI pipeline, what AI does well, what it does badly, and the value equation that turns it into sellable output.
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An LLM was trained by reading billions of documents and compressing their patterns into billions of numbers (weights). When you prompt it, it predicts the best next word, then the next, until a full answer exists.
"Predicting words" sounds shallow, but to predict well across law, code, marketing, and medicine, the model had to internalize the structures of those fields. That's why it can draft a contract clause and debug Python in the same conversation.
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