Accomodating as much space for information as you can is not really a good idea. It is prone to overfitting and also harder to learn. You can think of it as a way of regularisation, you are forcing the model to get the useful information and not the rest or, you leave less space where it can encode the training data to overfit.

Neural networks was a successful idea

Yea looks like Meta is making him say this stuff.

I assumed he jerks off to chat GPT responses when he is alone. I am continuing to assume that tbh

They don't have desires and plans and understanding of the world, which is what is actually meant when people say they are notot sentient or conscious because we also don't really know what consciousness is you see

For example, machines are conscious in your conception if you ask Alan Turing.

"This work consists on an attempt to describe in a concise way the main models are sectors that are affected by generative AI"