Raw LLM Responses
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They can make as many racist AI videos as they like. They still can’t walk in th…
ytc_UgyUwGq60…
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Every kid needs to hold doritos bags - all the time, wave them around, set this …
ytc_Ugx89N8ZY…
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Yea AI is just going to continue to raise the bar for securing even entry develo…
ytr_UgzRSEqvS…
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Thank you for your kind words! ❤ We're glad you enjoyed the video. If you're int…
ytr_UgxgvbS1V…
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9:24 This is where it gets tricky for me. Imagine you went to see a new movie, a…
ytc_Ugz4NAdGi…
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Corporations want massive profits, and it's regulations that allow corporations …
ytc_Ugw8i3YmZ…
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Why did this problem not occur to the scientist as he was working on AI ? A bit …
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It seems like your comment got a bit jumbled! 😄 If you meant to share a thought …
ytr_Ugy1hx8tz…
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"}
]