this post was submitted on 31 Aug 2023
596 points (97.9% liked)
Technology
59658 readers
2632 users here now
This is a most excellent place for technology news and articles.
Our Rules
- Follow the lemmy.world rules.
- Only tech related content.
- Be excellent to each another!
- Mod approved content bots can post up to 10 articles per day.
- Threads asking for personal tech support may be deleted.
- Politics threads may be removed.
- No memes allowed as posts, OK to post as comments.
- Only approved bots from the list below, to ask if your bot can be added please contact us.
- Check for duplicates before posting, duplicates may be removed
Approved Bots
founded 1 year ago
MODERATORS
you are viewing a single comment's thread
view the rest of the comments
view the rest of the comments
And human beings are more like a fungus (eukaryotes, saprophites) than an LLM is, that doesn't mean we're mushrooms.
However, the human brain is more like an LLM than a database, because the LLM was modelled after the human brain. It's also very similar in the way that nobody actually can tell precisely how it works, for some reason it just does.
Now I wouldn't worry about philosophical implications about the nature of consciousness and such, we're a long way and we'll find a way of screwing it up.
I do question why people are so vehement to always point out what we 'have' and how special we are. Nobody sane is saying LLMs are human consciousness 2.0. So why act threatened?
Lol what the fuck? We know exactly how LLMs work. It's not magic, and it's nothing like a human brain. They're literally word frequency algorithms. There's nothing special about them and I'm the opposite of threatened; I think it's absurd people who patently don't understand them are weighing on this debate disagreeing with me when it's obvious their position can best be described as ignorant.
I'm just going to leave this here.
some random article
A quote from the article, I found especially interesting.
"As a result, no one on Earth fully understands the inner workings of LLMs. Researchers are working to gain a better understanding, but this is a slow process that will take years—perhaps decades—to complete."
Quite an interesting read and I'm sure you can find some others if you want to and try hard enough.
This is a somewhat sensationalist and frankly uninteresting way to describe neural networks. Obviously it would take years of analysis to understand the weights of each individual node and what they're accomplishing (if it is even understandable in a way that would make sense to people without very advanced math degrees). But that doesn't mean we don't understand the model or what it does. We can and we do.
You have misunderstood this article if what you took from it is this:
We do understand how it works -- as an overall system. Inspecting the individual nodes is as irrelevant to understanding an LLM as cataloguing trees in a forest tells you the name of the city to which the forest is adjacent.