this post was submitted on 30 Sep 2024
866 points (98.5% liked)
memes
10309 readers
1617 users here now
Community rules
1. Be civil
No trolling, bigotry or other insulting / annoying behaviour
2. No politics
This is non-politics community. For political memes please go to [email protected]
3. No recent reposts
Check for reposts when posting a meme, you can only repost after 1 month
4. No bots
No bots without the express approval of the mods or the admins
5. No Spam/Ads
No advertisements or spam. This is an instance rule and the only way to live.
Sister communities
- [email protected] : Star Trek memes, chat and shitposts
- [email protected] : Lemmy Shitposts, anything and everything goes.
- [email protected] : Linux themed memes
- [email protected] : for those who love comic stories.
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
I absolutely feel like in a thousand years, we'll talk to a machine and not even know how it works.
Hell, I look at the computer in front of me and only feel like I know a fraction of what's going on.
Hail the Omnissiah!
That's what neural networks are now. We do not know how it works under the hood. We just feed it training data.
We do, though.
Just to make sure my understanding was accurate, I asked Gemini to critique my explanation:
Unless it’s lying to me about itself, I was able to explain the basics of it in two relatively simple sentences. Of course that doesn’t cover everything, but Gemini thinks that’s a pretty good overview. After expanding on each point in its reply, it said this:
I think a lot of the confusion over these models stems from hype and marketing that makes them out to be more than what they are.
We know how it works, but we can't explain exactly how it got to the answers.