Raw LLM — Corpus Dashboard

Look up by comment ID

Random samples — click to inspect

G "unless we do exactly the thing that we're going to do." Like, have you not been… ytr_UgwIuaegT… G “I broke the ai filter accidentally 😭😭” “Can I get an tutorial?” “IT WAS AN ACCI… ytc_Ugw2_yAN-… G In the video you said that it makes things up x% of the time, I think you said 1… ytc_UgwWkSijB… G I guess the video is talking about the bias in machine learning trying to recogn… ytr_UgxDxTnfX… G Thank you for touching on this topic. Art is very important to me and, frankly, … ytc_Ugw_0Tuuy… G Here's a question though, what happens when a self-driving car gets in an accide… rdc_czy5d00 G So is it the actual AI or is it the racist that programmed them? I’ll go 100% wi… ytc_UgwL4mJHO… G TIL from Commercial_Platform2 that the 80 percent of humanity living in poverty … rdc_kitg5qh

Comment

Ok, I went back and read the Nightshade paper (Shan et al), and the authors know what they're doing, it's actually pretty cool - basically, modern AIs work by converting collections of pixels into a simplified 'latent space' where the concepts behind the art are grouped together as detected by a different image-to-text AI model, and Nightshade works by finding a way to trick that model into putting the image into completely the wrong place in the latent space, so conceptually it's doing something similar to what I suggested mislabeling the art but much more efficiently and effectively - against this particular AI. In the long term, though, I still think that if you trained a new image-to-text model from scratch using this data, which to be fair none of these companies are doing because it'd be way too expensive, then these poisoned images would be valuable in the way I assumed they would be before.

youtube Viral AI Reaction 2024-10-20T21:2…

Coding Result

Dimension	Value
Responsibility	none
Reasoning	unclear
Policy	none
Emotion	approval
Coded at	2026-04-27T06:24:53.388235

Raw LLM Response

[
{"id":"ytr_UgwjgT2xgHcxGJIkDRV4AaABAg.A9pVUyKSjzbAA4P1oZS8cl","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"indifference"},
{"id":"ytr_UgwxH1gLqg1lpbIx9yJ4AaABAg.A9pVHjb2kU9A9q-FeUv4ds","responsibility":"ai_itself","reasoning":"virtue","policy":"none","emotion":"outrage"},
{"id":"ytr_UgwxH1gLqg1lpbIx9yJ4AaABAg.A9pVHjb2kU9A9qfSoLdpC_","responsibility":"developer","reasoning":"virtue","policy":"none","emotion":"indifference"},
{"id":"ytr_UgwxH1gLqg1lpbIx9yJ4AaABAg.A9pVHjb2kU9A9rQsNgzoBq","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"indifference"},
{"id":"ytr_UgzIlMgjZPi0v6q9HTB4AaABAg.A9pV5dxGYTMA9pbEU1SPxq","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"approval"},
{"id":"ytr_Ugx3xiS8IcOSsNDplwl4AaABAg.A9pUyNe5IV5A9p_KVWfh1x","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"indifference"},
{"id":"ytr_Ugx3xiS8IcOSsNDplwl4AaABAg.A9pUyNe5IV5A9pbLeixia2","responsibility":"company","reasoning":"consequentialist","policy":"regulate","emotion":"outrage"},
{"id":"ytr_Ugx3xiS8IcOSsNDplwl4AaABAg.A9pUyNe5IV5A9pdhC79g-x","responsibility":"developer","reasoning":"deontological","policy":"none","emotion":"outrage"},
{"id":"ytr_Ugz6QScWr6E3XxX7F5J4AaABAg.A9pUwgo0NfFAG_u0vQIG9r","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"outrage"},
{"id":"ytr_Ugw1VVFhwGjEeEskUGV4AaABAg.A9pUc8wywZCA9pjcgmb8PG","responsibility":"government","reasoning":"consequentialist","policy":"ban","emotion":"outrage"}
]

Raw LLM Responses