Raw LLM Responses
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G
Who is gonna buy all these AI Bots, if 99% is unemployed. Although I agree about…
ytc_UgzDr2pmf…
G
The one who caused the algorithm to take the decision the decision should suffer…
ytc_Ugxd_U6ln…
G
You can add math where the human can't see but the ai can and it f*cks up the ai…
ytc_Ugw1D2QA1…
G
I am not getting in a plane with a f****** robot pilot. You got me f***** up…
ytc_UgwRsaQkO…
G
Oh boy more AI torture
My heart is swelling imagining Dave being rocked in the …
ytc_Ugz_UeBc-…
G
Satya Nadella didn’t shock anyone, his stance is aligned with the lack of fronti…
ytc_Ugw8IroPW…
G
Another "good" Artist say, blah blah blah, AI is bad.
Well cry about it, becaus…
ytc_UgxY-NMC6…
G
Most "standard" ML algorithms are non-parametric, in that they do not estimate p…
ytr_Ugy9ZK0SW…
Comment
“Imagine a world where everyone, regardless of location or income, has an AI doctor in their pocket—24/7 access to personalized healthcare, mental health support, and real-time diagnostics, all with just a smartphone. With a $7 trillion investment in AI, we could develop AGI fast enough to make this happen in the next 10-15 years. Think of it: an AI lawyer helping you understand your rights, an AI financial advisor for personalized budgeting, an AI engineer to guide DIY repairs, an AI tutor for customized learning in math, languages, or science—all accessible on-demand, from your pocket.
This investment could bring experts in every field to EVERYONE: doctors, teachers, lawyers, mental health counselors, career coaches, dieticians, even agricultural consultants for farmers in rural areas. The transformative power would be huge, giving each person the same level of support once available only to a few, enabling anyone to reach their potential. A $7 trillion investment wouldn’t just speed up AGI development; it would democratize knowledge and support, helping us create a world where quality information, guidance, and care are always within reach. This isn’t just about convenience; it’s about equality and opportunity.”
youtube
2024-10-29T19:0…
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | none |
| Reasoning | consequentialist |
| Policy | regulate |
| Emotion | approval |
| Coded at | 2026-04-26T23:09:12.988011 |
Raw LLM Response
[
{"id":"ytc_UgykxjLfy5zup0zrFAN4AaABAg","responsibility":"none","reasoning":"unclear","policy":"unclear","emotion":"mixed"},
{"id":"ytc_Ugwvevywg6JY6C8qYXt4AaABAg","responsibility":"user","reasoning":"deontological","policy":"regulate","emotion":"fear"},
{"id":"ytc_Ugy6O2d8QBG7FElMQNp4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"approval"},
{"id":"ytc_UgyeAlHPYe1g2EYk3-94AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"approval"},
{"id":"ytc_UgzBByRRy4f35s5ZW9p4AaABAg","responsibility":"ai_itself","reasoning":"virtue","policy":"none","emotion":"mixed"},
{"id":"ytc_UgzdsBvvvOEv9Cz_kIN4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"approval"},
{"id":"ytc_UgyJqUeZf1GbvI3BX6p4AaABAg","responsibility":"ai_itself","reasoning":"consequentialist","policy":"unclear","emotion":"mixed"},
{"id":"ytc_UgxTzBvCsiNGn2hCwZB4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"regulate","emotion":"approval"},
{"id":"ytc_UgwP9ARRTVvMPvx5N694AaABAg","responsibility":"none","reasoning":"mixed","policy":"regulate","emotion":"mixed"},
{"id":"ytc_UgyCkT3yB6qg2J-3VSl4AaABAg","responsibility":"none","reasoning":"unclear","policy":"unclear","emotion":"mixed"}
]