Basically it's a best fit curve in N-dimensional space. The entire human brain can be modeled this way. In practice what we end up doing is using a bunch of math tricks to try to poke and prod at this curve to get some sort of "fit" on the data.

There are an infinite number of possible curves that can fit within this data. One of these curves is the LLM. The other curve is the human brain.

Here's a better way to put it. Your entire OS can be modeled under this idea. We can use a bunch of training data and basically recreate your operating system under ML. Just feed in current state and train it until it will output correct state.

But understanding the OS from this ML perspective is a far cry from understanding the OS from the perspective of source code.

We do NOT understand fully what's going on. In fact, the fact that the LLM even had chatGPT's capabilities was not predicted or foreseen.