Module 1 · What these models are, honestly Lesson 1 of 15
Next-token prediction, in plain words
The model predicts a likely next piece of text from everything before it. It has no database it looks facts up in and no way to know, by itself, that it has invented something.
Worked example
That single sentence explains why the same question can get two different answers, why it will confidently name a book that does not exist, and why asking it to cite sources is not the same as asking it to be right.
Your practice task
Ask the same factual question three times, note the differences, then verify each answer against a source you trust and write down which was wrong.
Do this before moving on. Reading a solution teaches the shape of it; typing it teaches you.
Key takeaway
The model predicts a likely next piece of text from everything before it. It has no database it looks facts up in and no way to know, by itself, that it has invented something.
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