Raw LLM Responses
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G
I'm confused. If you had an eidetic memory and read numerous copyrighted works …
ytc_UgyRD668U…
G
Funny how the robots give into every quandry. It's just programming. People dont…
ytc_Ugxpk-Rxm…
G
Government should implement ai tax to companies similar to Income Tax, and this …
ytc_UgyZNwdTg…
G
I commend your effort, but at the end of the day, this is just a futile fight. I…
ytc_Ugy8asqAr…
G
Typically all copyrighted material is allowed for fair use as in - personal lear…
ytc_UgwQlkZcQ…
G
When AI first was released it “knew” English only. Now it knows a plethora of la…
ytc_Ugzd05dCb…
G
AI is so powerful that soon it will take all white collar jobs, it's just a matt…
ytc_UgzIOWtkk…
G
As an artist this comment is rude, I’m not a professional artist at all, but I w…
ytr_UgxDecRDE…
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"}
]