I can’t say anything about the spiritualist/materialist thing, but there are two things that are clear:
First: Same as you won’t be able to ever get a Shakespeare work by randomly stringing letters together in any reasonable time frame, you won’t be able to do the same with conciousnes. If it’s possible, the number of incorrect permutations are so massive, that just random trying will not ever be enough in any realistic amount of time.
Second: Transformer networks and all other generative AI concepts we have today aren’t even trying to create a conciousnes. They are not the path to general AI.
Isn’t that a part of the ai marketing though? That whole “this thing could destroy us” stuff?
Totally is. Because it makes the AI look and feel much better than the smoke-and-mirrors it actually is.
We thought we were getting Skynet but, instead we got Super Clippy and I Can’t Believe It’s Not Art Theft
Do you see any reason to think enough iterations of random nodes in a large enough network could result in emergent conscious intelligence?
Or are you more of a spiritualist than a materialist when it comes to the mind?
I can’t say anything about the spiritualist/materialist thing, but there are two things that are clear:
First: Same as you won’t be able to ever get a Shakespeare work by randomly stringing letters together in any reasonable time frame, you won’t be able to do the same with conciousnes. If it’s possible, the number of incorrect permutations are so massive, that just random trying will not ever be enough in any realistic amount of time.
Second: Transformer networks and all other generative AI concepts we have today aren’t even trying to create a conciousnes. They are not the path to general AI.
My favorite are the developers who are developing AI to do development.
Well, yeah. If you can get a machine to do the job for you, then you should.
You dont see how developers developing AI to do development might be a bad thing?
Not if it saves time and effort. The less time I have to spend writing and debugging code, the better.
That’s what machines are for, after all. To make work easier.