Technology

37725 readers

471 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

[–] interolivary@beehaw.org 7 points 1 year ago (1 children)

But then you're training on more and more outdated data

[–] Kerb@discuss.tchncs.de 1 points 1 year ago

Afaik, there are already solution to that.

You first train the data on the outdated but correct data, to establish the correct "thought" patterns.

And then you can train the ai on the fresh but flawed data, without tripping about the mistakes.