A three year old draft blog post I just found. Feels worth publishing - the improvements in AI since then if anything make it clearer, and all the “right now” caveats justified.
It’s better to start by thinking of us as pattern matching devices first.
Not simple ones - such as modern deep learning AI that essentially does layered functions to measure correlation. Complex ones, that model causality in a sophisticated way we don’t remotely understand yet.


