Most people prompt AI as if it thinks. It doesn't.
Current models pattern-match against training data.
Karpathy calls AI training "sucking supervision bits through a straw."
When a model nails a problem, training reinforces the whole path with the "noise" included.
That's why it aces one task and flunks a near-identical one.