Technology
Which posts fit here?
Anything that is at least tangentially connected to the technology, social media platforms, informational technologies and tech policy.
Post guidelines
[Opinion] prefix
Opinion (op-ed) articles must use [Opinion] prefix before the title.
Rules
1. English only
Title and associated content has to be in English.
2. Use original link
Post URL should be the original link to the article (even if paywalled) and archived copies left in the body. It allows avoiding duplicate posts when cross-posting.
3. Respectful communication
All communication has to be respectful of differing opinions, viewpoints, and experiences.
4. Inclusivity
Everyone is welcome here regardless of age, body size, visible or invisible disability, ethnicity, sex characteristics, gender identity and expression, education, socio-economic status, nationality, personal appearance, race, caste, color, religion, or sexual identity and orientation.
5. Ad hominem attacks
Any kind of personal attacks are expressly forbidden. If you can't argue your position without attacking a person's character, you already lost the argument.
6. Off-topic tangents
Stay on topic. Keep it relevant.
7. Instance rules may apply
If something is not covered by community rules, but are against lemmy.zip instance rules, they will be enforced.
Companion communities
!globalnews@lemmy.zip
!interestingshare@lemmy.zip
Icon attribution | Banner attribution
If someone is interested in moderating this community, message @brikox@lemmy.zip.
view the rest of the comments
A couple hundred million 0kb files?
A ton of folders
That won’t poison an LLM exactly.
https://www.anthropic.com/research/small-samples-poison#%3A%7E%3Atext=For+example%2C+LLMs+can+be%2Cwidespread+adoption+in+sensitive+applications.
Theoretically this is a place to start. They probably have mitigations for many of these.
Have you seen the state of testing for Microsoft products nowadays? Or rather the apparently complete lack of testing.
I found this study, it looked promising but I think it only works on the one LLM they were targeting. Also they seem to be working to protect ai models so results they find will probably be implemented as ways to protect against poisoning. I guess intentional dataset poisoning hasn't come as far as I hoped