Raw LLM Responses
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G
came across this video randomly and omg I love your art style, deff gonna follow…
ytc_UgxqH5tsC…
G
Yesss yesss yesss this is Soo much needed and we need to teach empathy. That is …
ytc_Ugz-XUPnk…
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The argument is logical thinkers vs. emotional thinkers.
If you really want to …
ytc_UgzR1p2MV…
G
Blue Collar mfs who insist their jobs wont get replaced by AI when they see this…
ytc_UgxfqUFhK…
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The donation vs. spending debate is real. I use Pneumatic Workflow to automate o…
ytc_UgxGem2Nm…
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This is how it should be but they don't want a bunch of Filthy Rich Entrepreneur…
ytc_UgxECwea2…
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ChatGPT also said to use an iron to remove wrinkles in a dude's scrotal sack.…
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We need less AI to do useless stuff, we Need AI to do our Taxes…
ytc_UgxGs8eJ4…
Comment
There's a place for all kinds of tech, and I have been strongly encouraging my team and junior techs to use AI, we also need the deep integration between our ticketing system (historical issues), documentation system (what we need to know), chat program (we help each other through it), our meeting system (because we do trainings), and our 365 environment (once appropriate permissions are accomplished). With that level of integration, our problem solving ability becomes to cumulative knowledge and capability of everyone who has ever encountered an issue or made a standard for our customers. ...But we already have a crap AI and it is unhelpful, spewing endless garbage.
This is why sweeping generalizations of AI are problematic, as it's a nuanced subject that includes "when it's good", "how to make it good", "when it's not useful", and "when it should not exist or be allowed to do a thing". I am sure there are more categories besides, but this is why we work in strategic IT, to look at companies as a whole and see how we can make them more knowledgeable, more aware, and ultimately get more done. AI's just a new tool in the box of human assets we have developed.
youtube
2025-06-26T02:2…
♥ 1
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | none |
| Reasoning | consequentialist |
| Policy | industry_self |
| Emotion | approval |
| Coded at | 2026-04-26T23:09:12.988011 |
Raw LLM Response
[
{"id":"ytc_UgyxVzRafyvHRPAx9pl4AaABAg","responsibility":"none","reasoning":"mixed","policy":"none","emotion":"indifference"},
{"id":"ytc_UgwvnoXSS6G8nVVcBYB4AaABAg","responsibility":"company","reasoning":"virtue","policy":"liability","emotion":"outrage"},
{"id":"ytc_UgwS02gdgtkIJKWJ8K94AaABAg","responsibility":"ai_itself","reasoning":"deontological","policy":"ban","emotion":"outrage"},
{"id":"ytc_UgzSLg-QB4WqPBsxLop4AaABAg","responsibility":"company","reasoning":"contractualist","policy":"regulate","emotion":"mixed"},
{"id":"ytc_UgybQfb9EFGLMCyz_z94AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"industry_self","emotion":"approval"},
{"id":"ytc_UgytxqlBGtxpFyiP7xt4AaABAg","responsibility":"company","reasoning":"deontological","policy":"regulate","emotion":"fear"},
{"id":"ytc_Ugzk_0VSKFtor4BDQzZ4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"mixed"},
{"id":"ytc_UgzgIH1W4yPK6iXbVct4AaABAg","responsibility":"ai_itself","reasoning":"consequentialist","policy":"none","emotion":"fear"},
{"id":"ytc_UgyQYluhWtxbxze1NHx4AaABAg","responsibility":"ai_itself","reasoning":"deontological","policy":"ban","emotion":"outrage"},
{"id":"ytc_Ugy_WpF22Q7FJa0JMCl4AaABAg","responsibility":"user","reasoning":"virtue","policy":"none","emotion":"approval"}
]