The model can do this because it learns patterns from training data instead of just storing it to retrieve later. The AI model generates responses that are right up there with the original data, but never a perfect copy.

It’s as if you carried around the Library of Congress in your pocket. Just look at how Tesla replaced 300,000 lines of self-driving code with a single AI model. This new model’s code is 100 times shorter — most of the storage space is dedicated to a single model weights file. This is an immense change to how we handle and process information.

These models are universal translators. By taking input in one form, whether it’s text, images, or code, they can turn it into another. They can explain complex ideas to a five-year-old or rewrite Shakespeare in the style of a rap battle.