This is somewhat exasperating.
I was using the term ‘similar’ somewhat loosely but definitely validly, only in regards to one concept and only to support a specific point. I thought that was obvious?
My point of stating similarity was limited to the concept of ‘feature’ extraction and matching, nothing else, in order to draw a distinction from learning concepts to memorising copy verbatim.
I’m fully aware there are significant differences as well.
You do know I know a human head doesn’t resemble a datacentre, right?
Are you saying there is no feature extraction and matching going on in the human brain?
Because that is what it is doing:
“ Learning feature detectors
To enable the perceptual system to make the fine distinctions that are required to control behavior, sensory cortex needs an efficient way of adapting the synaptic weights of multiple layers of feature-detecting neurons.”
Also see Feature detection (nervous system) - Wikipedia
That’s a contradiction. It absolutely isn’t cut & paste and that is the crux of my point.
It’s arguably not even lossy compression:
Yes it can. And again, caveat , not to the extent we can.
ChatGPT is generalising. That is what pattern matching aka feature extraction is! It is able to configure words in a sensible order which match Grammar rules. It has ‘learned’ a complex set of features and is able to construct sentences that make grammatically sense whatever the subject area. It is not storing every possible combination of words and regurgitating exactly one match each time, ie not cut and paste! That’s just one demonstration. The responses it gives demonstrates emerging sophistication.
But sure it isn’t sophisticated enough to “understand” mathematics. Not yet. (and maybe not ever with this current technique?).
I fully recognise the level of sophistication isn’t matching the brain, that it’s limited in scope and the physical implementation of it all is very different. But that doesn’t invalidate my point…
… which was specific!
Next time I will be sure to painstakingly caveat my point to avoid this unnecessary noise.