With each interaction, we feed more data into these systems and our unique perspectives and thought patterns become part of their ever-expanding neural networks.

Such a simple way to give away that you know absolutely fuck-all about actual Machine Learning as a science. Neural networks (ML term of art) don't fucking expand with data, they have a fixed size. A neural network is just a spicy matrix with real numbers.

This also seems to suggest the author thinks "bigger = better", which is just false. The whole field would probably be much easier if it were true, but you learn this im ML 101, just making the matrix bigger can reduce accuracy.

Neural networks are such an unfortunate name. They kinda look like a layered network and propagation-backpropagation kinda might give you "neurons firing" vibes, so scientists named it like that; only for dipshit pundits to immediately go "neuron means brain means machine thinks!!!" years later...