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G If we had undeniable proof of reincarnation, would it hault the progression of a… ytc_Ugx8EjnS0… G Asimov wrote the Three Laws of Robotics back in 1950. It is very difficult to be… ytc_Ugx0j72VP… G @blackfrieza9056now ai is helping everyone make any content they want(as long a… ytr_UgxDBlgku… G One day we will homeless and jobless 😢... because robot will take the spot and r… ytc_UgyEbvcsu… G ChatGPT Imitating the Qur'an? |Mansur https://youtu.be/TAd7Nn1wagE Youtube Shad… ytc_Ugwd2zj2S… G Why do you trying to convince i mean. You going about what you want to say. It w… ytc_Ugz6cYhRc… G @HalfTaterhis name was nada in the movie. But he was rowdy Roddy Piper. The wres… ytr_Ugywtal7T… G Sometimes its fun to make AI art like to put "kawaii bread whit tralalero tralal… ytc_UgzMmF04L…

Comment

I think a lot of these predictions overestimate both IT's ability to actually implement and safely scale AI across the real world. For AI to "take over," it must first be deeply integrated into production environments—most of which are much less modern or robust than people assume. In reality, many companies and even military or critical systems still rely on outdated infrastructure and deliberately slow processes for safety and security. If we want to talk seriously about global job displacement or technological change, we can't just focus on what's technically possible. We have to factor in real sources of friction like politics, culture, infrastructure, and the economy—these heavily influence how and when technology is actually adopted. Tech capability doesn't automatically mean immediate, sweeping impact. So while the potential is huge, these narratives often miss just how complex and uneven real-world adoption is. Any claim about "the whole world" changing overnight needs to address all the barriers and delays that exist beyond the lab or boardroom. Otherwise, it's more of a theoretical scenario than a practical forecast.

youtube AI Governance 2025-09-08T18:5…

Coding Result

Dimension	Value
Responsibility	none
Reasoning	consequentialist
Policy	none
Emotion	indifference
Coded at	2026-04-26T23:09:12.988011

Raw LLM Response

[
{"id":"ytc_UgwLa2F1WASP01wHCjd4AaABAg","responsibility":"none","reasoning":"virtue","policy":"none","emotion":"approval"},
{"id":"ytc_UgygVPPK-f1mXvvq4ZB4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"mixed"},
{"id":"ytc_UgzeUHOj-mnRjL4msSJ4AaABAg","responsibility":"none","reasoning":"mixed","policy":"none","emotion":"indifference"},
{"id":"ytc_UgztNJx7JCumgqTPZ-F4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"regulate","emotion":"outrage"},
{"id":"ytc_UgxM4ck0y4NSotKUjet4AaABAg","responsibility":"company","reasoning":"deontological","policy":"ban","emotion":"outrage"},
{"id":"ytc_UgwoEw2fd_Kj6HypH-t4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"indifference"},
{"id":"ytc_Ugy26r-RB6Onym1LgK94AaABAg","responsibility":"user","reasoning":"deontological","policy":"liability","emotion":"unclear"},
{"id":"ytc_UgzyJa1zXBVgzYTMv3Z4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"approval"},
{"id":"ytc_UgyjaNN4dZH9fOgsUkZ4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"mixed"},
{"id":"ytc_UgwjQ91C6jJ5nS46eUR4AaABAg","responsibility":"government","reasoning":"consequentialist","policy":"regulate","emotion":"outrage"}
]

Raw LLM Responses