The model is a tiny fraction of the training data. Like many many orders of magnitude tinier.
> random chance
Ah there is the rub, it’s not random. It’s biasing it a tiny bit.
Let me try to come up with another analogy. Suppose you’re flying a plane into Siberia and start out in a specific direction. And I want you to fly over a specific town.
Storing the information would be giving you the exact coordinates of the town and instructions to reach it. What happens here is closer to bumping into the plane with a tiny rock so the trajectory is moved in a direction where you naturally see this town on the new route.
This was pretty much a 2D analogy, can you imagine a 1024 dimensional version of this? That gets pretty close to what happened.
> random chance
Ah there is the rub, it’s not random. It’s biasing it a tiny bit.
Let me try to come up with another analogy. Suppose you’re flying a plane into Siberia and start out in a specific direction. And I want you to fly over a specific town.
Storing the information would be giving you the exact coordinates of the town and instructions to reach it. What happens here is closer to bumping into the plane with a tiny rock so the trajectory is moved in a direction where you naturally see this town on the new route.
This was pretty much a 2D analogy, can you imagine a 1024 dimensional version of this? That gets pretty close to what happened.