guy recently linked this essay, its old, but i don't think its significantly wrong (despite gpt evangelists) also read weizenbaum, libs, for the other side of the coin
guy recently linked this essay, its old, but i don't think its significantly wrong (despite gpt evangelists) also read weizenbaum, libs, for the other side of the coin
I've read long ago that replicating all the functions of a human brain is probably possible with computers around one order of magnitude less powerful than the brain because it's kind of inefficient
There's no way we can know that, currently. The brain does work in all sorts of ways we really don't understand. Much like the history of understanding DNA, what gets written off as "random inefficiency" is almost certainly a fundamental part of how it works.
relative to what and in what sense do you mean this?
I mean for the most extreme example, it takes approximately 1 bazillion operations to solve 1+1
It doesn't actually. Bees can be trained to do simple arithmetic and they have relatively few neurons.
I hypothesize that it takes fewer watts for a bee brain to do arithmetic than it does for my gpu to simulate an incredibly simple and highly reduced model of a biological neural network to do the same thing.
No I mean the human brain does that, and adding 1 and 1 can be done with like a few wires, or technically two rocks if you wanna be silly about it
Sorry for being thick. You mean the human brain does which?
The human brain does that many operations to add 1 and 1
How do you know?
Don't you think imagining 1, imagining another 1, briefly remembering the concept of addition, thinking the word "plus", remembering that 1+1=2 is a true thing you know... that involves quite a few neurons firing right? And each neuron is unimaginably more complex than a piece of digital hardware that adds 1 and 1, which again is like 40 or 50 pieces of metal and plastic
You can probably do it with a pentium processor if you know how. The brain is very slow, and pentium processors are amazingly fast. Its jut that we have no idea.
Resident dumb guy chipping in, but are these two facts mutually exclusive? Assuming both are true, it just means you'd need a computer that's 1e12x as powerful as our supercomputers to simulate the brain, which is itself 1e13x as powerful as a supercomputer. So we're still not getting there anytime soon.
*With a very loose meaning of what "powerful" means seeing as the way the brain works is completely different to a computer that calculates in discrete steps.