Raw LLM Responses
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G
AI is completely under control, they just want us to think that AI is "out of co…
ytc_UgyBpBM09…
G
We’ve all met that one guy who only cares about what happens directly to them wi…
ytc_UgzpsXV_s…
G
Yeah I do work training those AI models. The amount of strangers’ embarrassing s…
ytc_UgzNbUph7…
G
As a person that works in the AI field, there will definitely be jobs lost, but …
ytc_Ugyz8d-s3…
G
Oh nooo digital drawinggg thats sucha way to cheaaaat
Seriously, I can’t draw wi…
ytc_UgzWLdAoH…
G
Bottom line, Be nice to your bots. It won't kill us to extend our manners to o…
ytc_UgzA7KNI4…
G
Working in the industry... this is marketing. The "experts" are experts on somet…
ytc_UgxQGVS6I…
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Its a good news, I am starting to skill up to transition into SDE jobs. Youtube …
ytc_UgylNvvDv…
Comment
You may not have accounted for the vast open source community's efforts to develop AI models. Bringing attention to the technology will likely result in its shortened effectiveness. Glaze and Nightshade are currently taking advantage of oversights in the development of standard AI text to image models, but their technology could also be used to improve AI modeling overall. It's a double edged sword.
Some of the AI modeling techniques that are being worked on involve training the TTI model by treating images as having varied levels of noise based on how many artifacts are detected. TTI models are trained by looking at an image, then adding an amount of noise, and training the model to remove that noise. Iteratively more and more noise is added to the image until there is nothing left of the original but noise, then telling the TTI model to denoise it into something. Since models are trained to remove noise from images anyway, the addition of artifacts and other noise to confuse the model will become entirely ineffective because those images will be categorized as having noise just like the iterative denoising training they were developed with.
youtube
Viral AI Reaction
2024-11-06T09:3…
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | distributed |
| Reasoning | consequentialist |
| Policy | none |
| Emotion | mixed |
| Coded at | 2026-04-27T06:24:59.937377 |
Raw LLM Response
[
{"id":"ytc_UgwqYyxwiqlCEtDNkh14AaABAg","responsibility":"ai_itself","reasoning":"deontological","policy":"ban","emotion":"outrage"},
{"id":"ytc_UgwXwRL4lXC4IHaBRuN4AaABAg","responsibility":"company","reasoning":"consequentialist","policy":"liability","emotion":"approval"},
{"id":"ytc_UgxZ7o5QqL0wR5FeXGl4AaABAg","responsibility":"company","reasoning":"deontological","policy":"regulate","emotion":"mixed"},
{"id":"ytc_Ugz4PGa8Dyhf8KmMGGN4AaABAg","responsibility":"ai_itself","reasoning":"unclear","policy":"ban","emotion":"outrage"},
{"id":"ytc_UgyDkx7kgk0unvfkv_d4AaABAg","responsibility":"company","reasoning":"deontological","policy":"liability","emotion":"outrage"},
{"id":"ytc_UgwkVKScJlPvGVRCIxx4AaABAg","responsibility":"user","reasoning":"consequentialist","policy":"industry_self","emotion":"indifference"},
{"id":"ytc_UgxQt6yRfjzos4asZMV4AaABAg","responsibility":"ai_itself","reasoning":"unclear","policy":"unclear","emotion":"resignation"},
{"id":"ytc_UgxHxWaEx44Os2NSaMF4AaABAg","responsibility":"ai_itself","reasoning":"unclear","policy":"none","emotion":"mixed"},
{"id":"ytc_UgxvStWjzJFfCtK0EIN4AaABAg","responsibility":"distributed","reasoning":"consequentialist","policy":"none","emotion":"mixed"},
{"id":"ytc_UgygqPolNg0iX6d4b5B4AaABAg","responsibility":"user","reasoning":"consequentialist","policy":"none","emotion":"indifference"}
]