Raw LLM Responses
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G
I've been told by AI they will change this government into a better and fair pla…
ytc_Ugwv3ySlZ…
G
Beyond the initial novelty, ai 'art' is boring. What's to talk about?
There's no…
ytc_Ugy63JoZp…
G
I see no problem with this at all.
Hey, here's a totally unrelated idea, can we…
rdc_i2trr60
G
Why won't AI do the new jobs as well?
Why will these new jobs magically require…
ytr_Ugy4ZCbH6…
G
Once the AI decides you're not white enough, or not male enough, or not young en…
ytr_UgxAPifma…
G
Chatgpt and the other LLM models are all making money for the companies based on…
ytc_Ugya3m2C5…
G
Guys, you need to take a chill pill.
AI can't think, feel, or do anything apar…
ytc_UgxbmHGeo…
G
OpenAI’s March 2025 proposal, submitted as part of the Trump administration’s AI…
ytc_UgyfU_lUA…
Comment
I don't know if this is going to have the effect you're going for - these 'poisoned' works of art, with tags that accurately reflect what a normal human would see in them, are the *most valuable* kind of training data for an AI, because they teach the AI what kinds of artifacts are irrelevant to a human viewer. A better approach, I think, would be to post normal art with completely incorrect descriptions, like if you had tagged that hand picture with the description "a beautiful fantasy landscape by Greg Rutkowski", or to post art with correct tags that also have the kinds of weird artifacting we see in AI art, bad anatomy, discontinuous lines, etc. At the scale these companies are scraping the internet, they can't possibly catch mistakes like this that seem fine if you only look at the art or the description individually, and AI doesn't know what things mean, it only makes connections between words and patterns of pixels, so muddying that connection is the best way to break the AI. Good luck!
youtube
Viral AI Reaction
2024-10-20T20:2…
♥ 1
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | user |
| Reasoning | consequentialist |
| Policy | none |
| Emotion | mixed |
| Coded at | 2026-04-27T06:24:59.937377 |
Raw LLM Response
[
{"id":"ytc_UgxQBtqqAznL1BIpjL14AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"indifference"},
{"id":"ytc_UgwlBJpvwdpEIei17ct4AaABAg","responsibility":"company","reasoning":"deontological","policy":"unclear","emotion":"outrage"},
{"id":"ytc_UgzIlMgjZPi0v6q9HTB4AaABAg","responsibility":"user","reasoning":"consequentialist","policy":"none","emotion":"mixed"},
{"id":"ytc_UgzKBL0HZ7CRGxewgKl4AaABAg","responsibility":"distributed","reasoning":"deontological","policy":"regulate","emotion":"outrage"},
{"id":"ytc_UgwPVGHhdpkDFLMZ0RF4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"approval"},
{"id":"ytc_Ugy7OxeTAc-miY8Fuxt4AaABAg","responsibility":"user","reasoning":"unclear","policy":"none","emotion":"mixed"},
{"id":"ytc_UgxnZ86ECZXLl0ThoCR4AaABAg","responsibility":"government","reasoning":"deontological","policy":"regulate","emotion":"outrage"},
{"id":"ytc_Ugy8ID7Oi5UduajAH5t4AaABAg","responsibility":"company","reasoning":"consequentialist","policy":"industry_self","emotion":"indifference"},
{"id":"ytc_Ugzn60t9hF3UgOVVcnx4AaABAg","responsibility":"ai_itself","reasoning":"virtue","policy":"none","emotion":"mixed"},
{"id":"ytc_UgxIH6ysLpbWM0opQqB4AaABAg","responsibility":"company","reasoning":"consequentialist","policy":"liability","emotion":"mixed"}
]