Raw LLM Responses
Inspect the exact model output for any coded comment.
Look up by comment ID
Random samples — click to inspect
G
Y do ppl talk about AI like ppl don't create it it don't matter how smart u tryi…
ytc_UgxF73IBp…
G
I don’t understand, are the crashes because of the self driving ONLY. So that’s …
ytc_UgwSya9MC…
G
Too bad. Trump is working with the AI billionaires. He doesn't give a shit about…
ytc_UgzxKpqoA…
G
There is a reason that the saying "Safety code is written in blood" and we will …
ytc_Ugwfg6xTN…
G
This is not correct. To the extent that LLMs only draw from their training data,…
ytr_Ugx_cFH_A…
G
the butter hands joke is actually kinda funny ngl...
But it works better as a t…
ytc_UgxNB3u_b…
G
I just watched Fareed Zakaria's GPS and this 'very important to mankind'🎓Genius …
ytc_UgzmVnH_r…
G
I spent a long time trying to draw.
I even paid tons of money to a college for …
ytc_Ugz6NSyzR…
Comment
To clarify, Glaze and Nightshade function as "negative examples" in the dataset. The small, almost imperceptible changes created by these software programs are actually subtle encodings that a convolutional model can misidentify. Typically, they use encodings contrary to the example described in the image, for example, encoding a dog as a cat, a cup as a toilet, etc.
Each time a bad encoding is made, the weights are slightly changed, to the point that each new poisoned piece of data adds more and more to the overall corruption of the AI.
Trying to erase such encoding with blurring actually destroys any data these systems can use for fine-tuning.
youtube
Viral AI Reaction
2025-05-06T08:4…
♥ 1
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | none |
| Reasoning | unclear |
| Policy | none |
| Emotion | indifference |
| Coded at | 2026-04-27T06:24:59.937377 |
Raw LLM Response
[{"id":"ytc_UgwJWVCyrrTC8Wsa--J4AaABAg","responsibility":"user","reasoning":"virtue","policy":"none","emotion":"outrage"},{"id":"ytc_Ugw13rLuo8lnI3FNK1d4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"indifference"},{"id":"ytc_UgzxtZYbOg47d6ySVZB4AaABAg","responsibility":"user","reasoning":"mixed","policy":"none","emotion":"mixed"},{"id":"ytc_UgzmbwO-MMcFYsP1gVB4AaABAg","responsibility":"ai_itself","reasoning":"consequentialist","policy":"none","emotion":"indifference"},{"id":"ytc_UgwGB9jhCMd082doOr54AaABAg","responsibility":"ai_itself","reasoning":"deontological","policy":"none","emotion":"approval"},{"id":"ytc_UgxUnL1riCcR_BSOUv54AaABAg","responsibility":"user","reasoning":"deontological","policy":"liability","emotion":"outrage"},{"id":"ytc_UgzyJsrDnFbPZ9lwh2p4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"approval"},{"id":"ytc_UgyHnxHqh0uS124knL54AaABAg","responsibility":"developer","reasoning":"mixed","policy":"none","emotion":"indifference"},{"id":"ytc_Ugz36xNvqBenRXO5lE14AaABAg","responsibility":"user","reasoning":"virtue","policy":"regulate","emotion":"disapproval"},{"id":"ytc_Ugwa8xcF2FY8MrBJJkR4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"resignation"}]