Technology

37720 readers

615 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

alyaza@beehaw.org

TheRtRevKaiser@beehaw.org

gyrfalcon@beehaw.org

rs5th@beehaw.org

SemioticStandard@beehaw.org

TheRtRevKaiser@kbin.social

Los@beehaw.org

coldredlight@beehaw.org

remington@beehaw.org

AI models feeding on AI data will lead to 'model collapse', researchers say (web.archive.org)

submitted 1 year ago by 0x815@feddit.de to c/technology@beehaw.org

11 comments fedilink hide all child comments

Using model-generated content in training causes irreversible defects, a team of researchers says. "The tails of the original content distribution disappears," writes co-author Ross Anderson from the University of Cambridge in a blog post. "Within a few generations, text becomes garbage, as Gaussian distributions converge and may even become delta functions."

Here's is the study: http://web.archive.org/web/20230614184632/https://arxiv.org/abs/2305.17493

you are viewing a single comment's thread
view the rest of the comments

[–] artificial_unintelligence@programming.dev 4 points 1 year ago

I think it’s not a hard stop but it is an issue. I think it will force models to be trained in more novel ways, rather than just purely pump more data in. I think ideally we’d be able to reach GPT level intelligence on fractions of the data and compute. These new techniques have yet to be made but this will put pressure on their creation