reiinakano

but they can all invert a binary tree on a whiteboard, so all good

No, it doesn't. Shared weight means all weights are the same value, as I originally mentioned.

Neither. The architecture performs well independently of weights BUT all weights must be the same e.g. Same network works well when all weights are 5.0 or when all weights are -3.0

> I'm much less confident about everything

This doesn't seem like a bad thing.

Maybe people just realize as they grow older how complex things really are, and eventually learn not to fall for the dunning Kruger effect on everything

I did a search for Flamingo and there were no flamingos...