Raw LLM Responses
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G
it is a very good thing for equalizing.... inequality between the poor and rich …
ytc_UgwNfgL4U…
G
It is like the four-pest campaign--We are creating our own demise. It's not the …
ytc_UgxR5MbOg…
G
Except it is the exact opposite case, the problem was AI is necessarily unbiased…
ytr_UgzRo9DK3…
G
Worth mentioning that chatGPT initially responded to the kid's prompts with suic…
rdc_nc3zy6n
G
Buybacks have caused spikes for years. They are refining and accelerating late s…
ytc_UgwD18GIp…
G
LLMs are at their limits. Things won't get much different from how they are toda…
ytc_Ugw8y-aH5…
G
AI can never replace the creative vision and emotional impact that a human can c…
ytc_Ugy4lInxJ…
G
How come Waffle House got 3 different angles? Are they the worst AI and robot pe…
ytc_UgwCOUwEr…
Comment
Yes, yes, yes. I have been wondering why they don't do AI this way also -- with smaller dedicated specialized sets on data that concentrate on and tackle related subject matters, instead of giant fields worth of resources, full of over bloated data centers, servers and calculators. That would be taking advantage of how these tools work best. It makes so much more sense.
Then there would be specialized prompter jobs, for employees trained and educated in many specialize fields of science, engineering, etc., that input correctly formed AI prompts, for the scientists and engineers, etc.
It's what AI tools do best. The design is there. This approach needs to be pushed and people need to be educated of this better approach of using AI tools more efficiently, and for the better good.
Was not that the whole idea originally, way back when dreamers were dreaming up AI? 🤔🤔
youtube
Cross-Cultural
2026-02-15T21:1…
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | unclear |
| Reasoning | unclear |
| Policy | unclear |
| Emotion | unclear |
| Coded at | 2026-04-27T06:24:53.388235 |
Raw LLM Response
[{"id":"ytc_UgzEV3iaQIaGP53XhZd4AaABAg","responsibility":"unclear","reasoning":"consequentialist","policy":"unclear","emotion":"fear"},
{"id":"ytc_UgwmroILdRAr3quMdk54AaABAg","responsibility":"unclear","reasoning":"mixed","policy":"industry_self","emotion":"approval"},
{"id":"ytc_UgxKATgMQsR5lmdj1H14AaABAg","responsibility":"developer","reasoning":"deontological","policy":"ban","emotion":"outrage"},
{"id":"ytc_UgxIdo_DiXkcFXS77XF4AaABAg","responsibility":"unclear","reasoning":"unclear","policy":"unclear","emotion":"approval"},
{"id":"ytc_UgxFvFC6VkgAlL5moqJ4AaABAg","responsibility":"unclear","reasoning":"unclear","policy":"unclear","emotion":"indifference"},
{"id":"ytc_Ugxz0Nw617vUkt4Tsw14AaABAg","responsibility":"unclear","reasoning":"deontological","policy":"unclear","emotion":"outrage"},
{"id":"ytc_UgxbhQjTsj10Cm-4yL14AaABAg","responsibility":"government","reasoning":"unclear","policy":"unclear","emotion":"mixed"},
{"id":"ytc_UgzFgtYP3Hyk48v8VAF4AaABAg","responsibility":"company","reasoning":"consequentialist","policy":"ban","emotion":"outrage"},
{"id":"ytc_UgziRrdAingtU1H79qt4AaABAg","responsibility":"unclear","reasoning":"unclear","policy":"unclear","emotion":"approval"},
{"id":"ytc_UgwVPwppK3xS2qxI2zt4AaABAg","responsibility":"ai_itself","reasoning":"mixed","policy":"unclear","emotion":"fear"})