this post was submitted on 07 Dec 2023
537 points (87.7% liked)

Asklemmy

43915 readers
903 users here now

A loosely moderated place to ask open-ended questions

Search asklemmy ๐Ÿ”

If your post meets the following criteria, it's welcome here!

  1. Open-ended question
  2. Not offensive: at this point, we do not have the bandwidth to moderate overtly political discussions. Assume best intent and be excellent to each other.
  3. Not regarding using or support for Lemmy: context, see the list of support communities and tools for finding communities below
  4. Not ad nauseam inducing: please make sure it is a question that would be new to most members
  5. An actual topic of discussion

Looking for support?

Looking for a community?

~Icon~ ~by~ ~@Double_[email protected]~

founded 5 years ago
MODERATORS
 
you are viewing a single comment's thread
view the rest of the comments
[โ€“] [email protected] 2 points 11 months ago (1 children)

I agree that there are similarities in how groups of nerve cells process information and how neural networks are trained, but I'm hesitant to say that's a whole picture of the human mind. Modern anesthesiology suggests microtubuals, structures within cells, also play a function in cognition.

[โ€“] [email protected] 2 points 11 months ago

Right.

I don't mean to say that the mechanism by which human brains learn and the mechanism by which AI is trained are 1:1 directly comparable.

I do mean to say that the process looks pretty similar.

My knee jerk reaction is to analogize it as comparing a fish swimming to a bird flying. Sure there are some important distinctions (e.g. bird's need to generate lift while fish can rely on buoyancy) but in general, the two do look pretty similar (i.e. they both take a fluid medium and push it to generate thrust).

And so with that, it feels fair to say that learning, that the storage and retrieval of memories/experiences, and that the way that that stored information shapes our sub-concious (and probably conscious too) reactions to the world around us seems largely comparable to the processes that underlie the training of "AI" and LLMs.