Re:How many billions of transistors in your iPhone processor?
by corethree on Monday October 30, 2023 @12:44AM
(#38065774)
The human brain IS an example of such a mechanism.
We've done it artificially as well with machine learning and genetic algorithms.
The amount of concepts in the neural network of an LLM is too large for us to fully understand.
At best we can only hope to understand these things as a sort of curve fitting optimization problem.
Re:How many billions of transistors in your iPhone processor?
by eru on Monday October 30, 2023 @04:33AM
(#38066933)
I was using some weasel words, because the human brain does have some structure that we can decipher. Specific injuries to the brain, even in different people, tend to cause the same specific problems. (With heavy emphasis on 'tend to', this is not deterministic, like removing the 'e' key from your keyboard.)
Re:How many billions of transistors in your iPhone processor?
by corethree on Monday October 30, 2023 @11:39AM
(#38070837)
We can do the same with LLMs. We can tease out some macro structure behaviors by looking at intermediate output from the feed forward network.
But you see how this is far from true understanding. It's like removing the WiFi module from a PC and you lose WiFi, therefore you know the WiFi module does WiFi stuff but in the end this action contributes nothing towards cohesive understanding of the PC.
You are right about human designed chips. If you use something like simulated evolution or backpropagation or some other techniques from machine learning or mathematical optimization, you can get machines with billions of parts but not necessarily any clear pattern nor repetition.
The human brain might be an example of such a mechanism.