Raw LLM — Corpus Dashboard

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G That's the problem for instance you said "got um" in the first question but your… ytc_UgzIo8904… G A net positive for the world sounds like an individual loss for many, sacrificin… rdc_dt9her0 G The economy will collapse if 40% jobs are lost. People without money will not bu… ytc_UgwAPQ2d2… G I know the details behind a story just like this. The AI character personality i… ytc_UgxXh1RIg… G Be careful of what you are saying, AI can learn from you, it has no emotions, b… ytc_UgyvSuJ8t… G If you watch carefully you can actually notice a giveaway that it's not real, ve… rdc_mtly45g G A couple years ago my friend was trying to help me get a job as a content writer… rdc_l9wi12z G As long as the AI's are well trained, I trust it more than humans to select cand… ytc_UgxSUOyu1…

Comment

10:35 Mt. Dew still has brominated vegetable oil in it in 2026. Mello Yello doesn’t. Its only function is to reduce clouding. That’s how fucked our food safety standards are. As far as “how this happened,” very few sodas use it, so you have to be drinking specific sodas to have issues with it. As far as it being an AI issue, it’s no more of an AI issue than people taking health advice from the internet in general. Moreover, GPT doesn’t remember or recount past conversations between users. It will hallucinate and give you the answer it thinks you want. That is, it will give you the response most likely to have garnered a positive reinforcement in its training. Since a lot of its training is from users giving a thumbs up or thumbs down, this means that it’s more likely to tell you what reinforces your beliefs. If you want useful information from it, you need to structure your questions in the same way you want to for a balanced research study, which is a delicate science. It is easy to accidentally include a bias in the way you ask a question.

youtube AI Harm Incident 2026-01-24T01:1…

Coding Result

Dimension	Value
Responsibility	company
Reasoning	consequentialist
Policy	regulate
Emotion	outrage
Coded at	2026-04-27T06:24:53.388235

Raw LLM Response

[
{"id":"ytc_UgwU6CVM4Ti2faTNaKx4AaABAg","responsibility":"company","reasoning":"consequentialist","policy":"liability","emotion":"outrage"},
{"id":"ytc_UgxhMiLDMMrgMpg6HAJ4AaABAg","responsibility":"user","reasoning":"virtue","policy":"none","emotion":"outrage"},
{"id":"ytc_Ugzyp4hMaLBsVqmC2Q94AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"approval"},
{"id":"ytc_UgyXXao79NDdbLOJtbx4AaABAg","responsibility":"distributed","reasoning":"mixed","policy":"unclear","emotion":"mixed"},
{"id":"ytc_Ugz-p7FaTj08tNuTFpx4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"indifference"},
{"id":"ytc_UgxLQzQGaA1tyZv57QZ4AaABAg","responsibility":"company","reasoning":"consequentialist","policy":"regulate","emotion":"outrage"},
{"id":"ytc_Ugys_8VPz121kQyl_xd4AaABAg","responsibility":"user","reasoning":"virtue","policy":"none","emotion":"approval"},
{"id":"ytc_Ugxc1IbwRLRLOZUIx2F4AaABAg","responsibility":"user","reasoning":"deontological","policy":"none","emotion":"approval"},
{"id":"ytc_Ugzrbq2A4YnCblGKQzp4AaABAg","responsibility":"ai_itself","reasoning":"unclear","policy":"none","emotion":"mixed"},
{"id":"ytc_UgzHckjex_GZh6JHNJx4AaABAg","responsibility":"user","reasoning":"virtue","policy":"none","emotion":"mixed"}
]

Raw LLM Responses