Raw LLM Responses
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G
What i'm scared of is that I've seen instagram accounts with no less than 47 pos…
ytc_UgxFNw13V…
G
I can't believe that people are becoming to lazy to do simple stuff like drawing…
ytc_UgwBOV4Cf…
G
please just think critically while watching this video, and don't take it at fac…
ytc_UgzDFy71b…
G
check the hearts to know if they robot or not if heart is beating means real peo…
ytc_Ugxp4RlnJ…
G
Funny. I asked ChatGPT if the people who create these types of fear-mongering vi…
ytc_UgysTePUS…
G
We never needed stupid AI which is shit any way and is in a giant bubble that it…
ytc_Ugxif9wci…
G
Why fix your product and/or service when you could spend millions on AI voice-al…
ytc_UgyrTpYE5…
G
ChatGPT should have just explained how LLMs work. They replicate human answers a…
ytc_Ugz417eP8…
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"}
]