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G Tesla fatalities were caused by human error not the driver in supervised FSD T… ytc_UgyOX8e2U… G I dont believe Ai, Autonomous trucks will go to zero. Possibly this company or o… ytr_Ugxpd2SE5… G Until they are all self driving cars, too bad for you. Machines shouldn't be mak… ytc_UgjGwm-c3… G That would be illegal in the EU, GDPR prohobits the use of ai (algorithmic or st… rdc_memd8tz G @sethtenrec Many people have come to rely on AI for information, and even make d… ytr_UgyECy1Jr… G Legit questione: why someone should pay for ai art? Is something they could do b… ytc_UgxDgIjc6… G Absolutely. Anyone saying AI is revolutionary are non tech workers that start us… ytr_UgzPwFhfB… G Why is the audience clapping? You could be wearing a hoodie and get targeted...t… ytc_Ugz2p8Kfu…

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