Comment by uselesswords

At best trying to scale this understanding from what you have stated might (gratuitously) get you to a multi-layer percepetron. Add a few ideas and you would hit a convolutional neural net which represented the frontier a decade ago. However this is still so far divorced from the modern frontier of AI, transformers, because the leaps are more focused on attention mechanisms than anything else. And even just understanding a transformer is merely a building block.

This is basically understanding a building block (A) of a building block (B) of a building block (C) that builds D and purporting that you can understand D from the building blocks of A. The equivalent is saying that knowing Newton's laws is enough to understand how we get to the moon. It might be fine for a hand-wavy idea, but its just not enough.