Raw LLM — Corpus Dashboard

Look up by comment ID

Random samples — click to inspect

G Megan Garcia is an amazing woman who is fierce in her determination to educate u… ytc_UgyuC7sbR… G New construction sure. But AI isn't fixing a 120 yo residential houses plumbin… rdc_j43dmyn G Is there a way to lead with compassion and curiosity when trying to train these … ytc_UgyyYFnwq… G Bullshit. In Chemistry, Physics and Biology sector, especially teachers will be … ytr_UgxMOrOml… G Funny to hear the mechanic who would likely lose business from increased usage o… ytc_UgxDJEzOa… G Yeah but what kind of life will be that? Like just enough to survive with no goa… ytr_UgwLljw5n… G AI planted by Alien based on the Moon with stolen Gold and Gods property. We are… ytc_UgyCuTDm6… G @skimmer521 I don't necessarily have to be in front of a monitor. But having AI… ytr_Ugw9r0AZg…

Comment

What we see is what we always see once a new technology hype comes along: management that doesn't know shit from shinola and has no understanding of what is being sold, is eager to reduce cost by firing as many people as they can. Then the new technology, which they do not bother to properly test before deploying it, utterly fails to do what it was sold as being capable of doing. Then, to the shocked surprise of management, and absolutely nobody else, the numbers tank because the cost savings did not materialise because the costs saved at one end of the equation are tacked onto the other end. If you have to double check whether the AI results are valid and sound you're going to spend a lot of money doing that checking, which costs a lot of time and resources and no costs were actually saved. The actual costs that could have been saved: cutting executive management headcount by 15% and bonuses by 50%, that would make a difference to the bottom line.

youtube AI Responsibility 2025-10-11T17:1…

Coding Result

Dimension	Value
Responsibility	company
Reasoning	virtue
Policy	liability
Emotion	outrage
Coded at	2026-04-26T23:09:12.988011

Raw LLM Response

[{"id":"ytc_UgwBI2_6TVlxrs6iyIR4AaABAg","responsibility":"company","reasoning":"virtue","policy":"liability","emotion":"outrage"},{"id":"ytc_UgwZNWJoU173nrxjUWJ4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"indifference"},{"id":"ytc_Ugwdj-LWkPqRrNvzH9B4AaABAg","responsibility":"ai_itself","reasoning":"mixed","policy":"none","emotion":"mixed"},{"id":"ytc_UgzEUkl2f2LB1KIgnY94AaABAg","responsibility":"company","reasoning":"consequentialist","policy":"regulate","emotion":"fear"},{"id":"ytc_UgzkFjVpKqRnmQNw-jF4AaABAg","responsibility":"distributed","reasoning":"deontological","policy":"ban","emotion":"outrage"},{"id":"ytc_UgzoTVnr9Km_skedEOJ4AaABAg","responsibility":"user","reasoning":"virtue","policy":"none","emotion":"resignation"},{"id":"ytc_UgzdMCzsj230Rb5RrCF4AaABAg","responsibility":"company","reasoning":"consequentialist","policy":"industry_self","emotion":"approval"},{"id":"ytc_Ugwt5Qyu8IUt1MouwgZ4AaABAg","responsibility":"company","reasoning":"consequentialist","policy":"liability","emotion":"outrage"},{"id":"ytc_UgxVpUrFtTkDRld4OFB4AaABAg","responsibility":"distributed","reasoning":"mixed","policy":"none","emotion":"mixed"},{"id":"ytc_UgwKbQ4n5IcTLXvTUCR4AaABAg","responsibility":"developer","reasoning":"virtue","policy":"regulate","emotion":"mixed"}]

Raw LLM Responses