this post was submitted on 03 Aug 2023
204 points (100.0% liked)

Technology

37727 readers
709 users here now

A nice place to discuss rumors, happenings, innovations, and challenges in the technology sphere. We also welcome discussions on the intersections of technology and society. If it’s technological news or discussion of technology, it probably belongs here.

Remember the overriding ethos on Beehaw: Be(e) Nice. Each user you encounter here is a person, and should be treated with kindness (even if they’re wrong, or use a Linux distro you don’t like). Personal attacks will not be tolerated.

Subcommunities on Beehaw:


This community's icon was made by Aaron Schneider, under the CC-BY-NC-SA 4.0 license.

founded 2 years ago
MODERATORS
 

Employees say they weren’t adequately warned about the brutality of some of the text and images they would be tasked with reviewing, and were offered no or inadequate psychological support. Workers were paid between $1.46 and $3.74 an hour, according to a Sama spokesperson.

you are viewing a single comment's thread
view the rest of the comments
[–] QHC@kbin.social 5 points 1 year ago* (last edited 1 year ago) (1 children)

Yes, I use the tools every day and understand how they work. Failing to fully explain the mechanics of LLMs does not materially change the meaning of my original statement.

There's a reason that fan fiction is not regarded as true creative art that should be respected and discussed like other mediums: it;s not trying to do something new and original, the whole point is to re-combine and shuffle things around to sound and feel and look like the original work, just more, but not different in any real enough way to matter.

[–] lloram239@feddit.de 2 points 1 year ago

There’s a reason that fan fiction is not regarded as true creative art

No true Scotsman

it;s not trying to do something new and original

Neither are humans. Everything is a remix.

The only real advantage that humans have in this is that there are 7 billion of us and there is only one of ChatGPT. Everything ChatGPT produces ends up sounding very similar, since all of it is based on the same training data. With humans you get a lot more variety as each of them had their own unique slice of training data.