igiveup
Joined 4 years ago
Joined 4 years ago
"All you need to understand" is for insects.
Some ideas on how am I supposed to start hating my notes:
* They grow to 100MB, then it starts to be a burden
* I switch from notepad.exe to a dedicated application which somehow exploits my hobby of writing notes
* I develop OCD or something else
None of this seems very relatable. At this point, I might be writing a new note with these ideas, updating it when I get more ideas or when the one, most plausible explanation jumps out at me. Then I would read it years later and have something to think about before bed and have a good feeling that I didn't lose something and I am not left with thougths about the last episode of a TV show. Or is that supposed to be a bad feeling?
Yes, stellarators are different.
I think this is distinct from "ability to perceive green, which doesn't exist". A neural network trained to distinguish green in the output of a spectroscope will perceive green without ever knowing there is something like a "neural network" or "thoughts".
Also, this probably can be detected from the outside via debugging. What cannot be detected may be the thing that distinguishes a hypothetical "philosophical zombie" from a truly conscious human, but I don't think anything like a philosophical zombie exists. Once it is physically identical to the human, it will also be thinking identically.
As a next step, you may observe humans around you and realize that the thoughts you perceive seem to be running inside the head of one of these humans (which you will call "me"). However, I don't think knowing what you look like from the outside is necessary for consciousness.
Also, how exactly does time help to save space? Is this about some sophisticated hash functions? Handling collisions?
"It is not missing anywhere, so it isn't stealing" does not apply. What applies is more like "This paper says it is stealing, so it is." The paper says it because a human wrote it there, as a result of whatever complexity going on in their natural neural network.
Please notice I didn't say "right", "wrong", "good", or "bad" anywhere.