this post was submitted on 15 Dec 2023
504 points (97.9% liked)

memes

10223 readers
1481 users here now

Community rules

1. Be civilNo trolling, bigotry or other insulting / annoying behaviour

2. No politicsThis is non-politics community. For political memes please go to [email protected]

3. No recent repostsCheck for reposts when posting a meme, you can only repost after 1 month

4. No botsNo bots without the express approval of the mods or the admins

5. No Spam/AdsNo advertisements or spam. This is an instance rule and the only way to live.

Sister communities

founded 1 year ago
MODERATORS
 
you are viewing a single comment's thread
view the rest of the comments
[–] [email protected] 56 points 11 months ago (1 children)

It's getting weird out there.

I deal with a few bureaucrats and office workers. Up until about a year ago, their emails were pretty simple and they sounded a lot like someone just tapped them out while on the toilet.

Now they sound robotic and machine like. Very polite, to the point, concise and very professional. A year ago these people would just ask a vague question and not really know what to say.

Now they've automatically become professional writers sending me a polite note.

It's good .... but it just makes me wonder where all this is going.

It's putting lipstick on a pig .... no matter how much you dress it up, it's still a pig that likes to eat garbage and cover itself in mud.

[–] [email protected] 33 points 11 months ago (3 children)

As humanity has found yet another way to pass the buck, it'll be interesting to see the diminishing returns of LLMs as they begin to feed more and more on derivative content made by LLMs.

[–] [email protected] 25 points 11 months ago (3 children)

It's interesting, because people say they can only get better, but I'm not sure that's true. What happens when most new text data is being generated by LLMs or we accidentally start labeling images created through diffusion as real. Seems like there is a potential for these models to implode.

[–] [email protected] 11 points 11 months ago (2 children)

They actually tested that, trained a model using only the outputs of the previous generation of model. It takes less iterations of that to completely lose quality than you'd think.

[–] [email protected] 4 points 11 months ago

Do you have any links on that, it was something I had wanted to explore, but never had the time or money.

[–] [email protected] 3 points 11 months ago

They go insane pretty quickly don't they? As in it all just become a jumble.

[–] [email protected] 5 points 11 months ago

Given that people quite frequently try and present AI generated content as real, I'd say this will be a huge problem in the future.

[–] [email protected] 1 points 10 months ago

Microsoft has shown with Phi-2 (https://www.microsoft.com/en-us/research/blog/phi-2-the-surprising-power-of-small-language-models/) that synthetic data generation can be a great source for training data.

[–] [email protected] 13 points 11 months ago

Even before the LLMs, back when I was on reddit I would sometimes see conversations between bots that were 3 or 4 bots replying to each other with scraped content (usually in the personal advice subs) and getting upvotes.

I only noticed because I used to hunt bots as a hobby.

[–] [email protected] 6 points 11 months ago

It's cat farts all the way down.