Raw LLM Responses
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G
There is no creativity without the baseline work. You cannot take those two apar…
ytc_UgzQaoUoV…
G
I've never watched tik Tok, never spun a fidget spinner, never thought of using …
ytc_UgyN5wCNI…
G
I don't "blame" Uber for hitting her, but I do think the self driving software s…
ytc_UgwCv5H0m…
G
Why don't they ever make the distinction that ai is not actual ai. Agi is closer…
ytc_Ugynucoks…
G
consumer use does not matter. It's corporate/business use that matters, and Micr…
ytr_UgztylNVH…
G
I actually actively have been trying to submit my story to podcasts. So I can ge…
ytc_UgxluPaLz…
G
SOUNDS GOOD FOR A SCARE TACTIC., BUT WE ALL KNOW HACKERS CAN SCREW IT UP., COMPL…
ytc_UgwDJMa4R…
G
It's not crazy at all, gpt5 is not that great actually let's be serious.
I had a…
ytc_Ugz4w-G_N…
Comment
AI is more qualified to answer this:
Grok 3
Is it really true based on your understanding that rude or less-polite promps generate less effective or less qualty responses? Why would rude or direct input without politeness be less likely to generate a good outcome?
The summary basically says just depends on how much detail and specificity you include in your prompt, not how polite you are.
"For example:
Polite: "Could you explain why my code isn’t working, focusing on potential syntax errors?"Clear intent, specific focus → I can zero in on syntax issues.
Rude: "Why’s my code trash? Fix it!"Vague, no context → I’d have to guess what "trash" means or ask for clarification, potentially leading to a less useful response.
So, it’s not that rudeness inherently produces "bad" outcomes; it’s that rude or direct prompts are often less clear or detailed, which can limit my ability to nail the response on the first try. Want to throw me a deliberately rude prompt to see how I handle it? 😄"
youtube
AI Moral Status
2025-06-08T12:5…
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | none |
| Reasoning | consequentialist |
| Policy | none |
| Emotion | indifference |
| Coded at | 2026-04-27T06:26:44.938723 |
Raw LLM Response
[
{"id":"ytc_Ugxa9Vab3r5MK99g4t54AaABAg","responsibility":"ai_itself","reasoning":"virtue","policy":"none","emotion":"approval"},
{"id":"ytc_UgwEOW27tHPrhRFncZ14AaABAg","responsibility":"ai_itself","reasoning":"mixed","policy":"none","emotion":"mixed"},
{"id":"ytc_UgymuVQlW3d0EvSjURZ4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"indifference"},
{"id":"ytc_Ugw5PefzIeb2RtCgrzB4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"indifference"},
{"id":"ytc_UgzU03Hc_hSDhXCBrNV4AaABAg","responsibility":"company","reasoning":"deontological","policy":"none","emotion":"outrage"},
{"id":"ytc_UgxbsQFBfxqeOnXgQV94AaABAg","responsibility":"ai_itself","reasoning":"mixed","policy":"none","emotion":"mixed"},
{"id":"ytc_UgyDUWsr6YyHEiF8xfJ4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"indifference"},
{"id":"ytc_UgzshwOfuKGGvDbs5FV4AaABAg","responsibility":"company","reasoning":"virtue","policy":"regulate","emotion":"outrage"},
{"id":"ytc_UgycB8VIrARhe5sjeVp4AaABAg","responsibility":"none","reasoning":"virtue","policy":"none","emotion":"approval"},
{"id":"ytc_UgxHjpp_pMW5OZFEfsB4AaABAg","responsibility":"user","reasoning":"virtue","policy":"none","emotion":"approval"}
]