Patterns

When a model trains, it is not “learning facts” the way a human does. It is adjusting billions of numbers so that: Given this sequence of tokens, what token is most likely next? That’s it. No concepts. No understanding. Just probability shaping. But here’s the magic: When trained on enough text — books, code, discussions, … Read more