Raw LLM — Corpus Dashboard

Look up by comment ID

Random samples — click to inspect

G Is it possible that in future we need to shutdown this intelligent thing that we… ytc_Ugw6XJn67… G When ChatGPT finally starts saying things like, "your question is stupid", the i… ytc_Ugw-juofp… G There are plenty of animals that are smarter than us. I think the key difference… ytc_UgxLmzlAc… G This is why when your filling in an application on your phone it ask if your a r… ytc_UgyeU2Z4R… G I don't really see an issue with using chatgpt as one resource for finding relev… ytc_UgzFdrzd5… G The ongoing collapse of confidence in the establishment has made Americans feel … rdc_ohyx12y G But shouldn't we ask AI specialists about this? What does a doctor know about th… ytr_Ugx5q4W5l… G AI programmed by the most selfish and entitled subset of humanity is a problem.… ytc_Ugz3DwgYZ…

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"}
]

Raw LLM Responses