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G Bittensor $TAO solves all issues of centralized Ai. Study it and thank me later … ytr_Ugw7NGojg… G A robot which is clever enough to hatch and carry out a plan to destroy humans f… ytc_UgxYvPBHi… G In 2023 the US had 22,000,000 millionares, and if you make that a global number … ytc_UgylJLnB_… G Lex is acting like as if he know more about ChatGPT that the creator, that's wei… ytc_Ugx9EDSof… G This is deeply concerning. While the WSJ investigation reveals over 1000 Tesla A… ytc_UgxB9qSsC… G I love them very much, want to legit download these cute babies Also THANKYOU S… ytc_UgwVaBtpS… G I'm not going to argue in favour of current LLM consciousness (or the lack there… rdc_mdj0zmu G Or... they double down on A.I. paying other people bottom dollar to replicate th… rdc_lgte6rb

Comment

In a scenario where one worker with AI tools can replace 30, we'd need only around 5.33 million out of the current 160 million U.S. workers to perform the same work. This could potentially displace approximately 154.67 million workers if applied across all sectors. How many new jobs will really be created by AI? Would it be enough? What happens when a startup with 5 workers can put a company with 150 workers out of business. 5 million employed out of a country with 330,000,000 people. I live in L.A. there is already an alarming number of people living on the street. Every year it just gets worse and worse. Where is the faith that anyone will truly do anything to help those who will be displaced?

youtube AI Governance 2023-05-17T02:3… ♥ 4

Coding Result

Dimension	Value
Responsibility	distributed
Reasoning	consequentialist
Policy	unclear
Emotion	fear
Coded at	2026-04-27T06:26:44.938723

Raw LLM Response

[
{"id":"ytc_UgxDTAMSQkWEnGsBtFV4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"indifference"},
{"id":"ytc_UgyTNXgB0CP_8-Ls4nJ4AaABAg","responsibility":"government","reasoning":"consequentialist","policy":"liability","emotion":"fear"},
{"id":"ytc_UgyT-4OlgIEbN124NGx4AaABAg","responsibility":"government","reasoning":"deontological","policy":"none","emotion":"outrage"},
{"id":"ytc_UgzUs8PSf09XFW_EPg14AaABAg","responsibility":"distributed","reasoning":"consequentialist","policy":"unclear","emotion":"fear"},
{"id":"ytc_UgwolnLRrvhm9_nNgIF4AaABAg","responsibility":"government","reasoning":"deontological","policy":"regulate","emotion":"outrage"},
{"id":"ytc_Ugyx5EJ1ahs3yYAT6-R4AaABAg","responsibility":"ai_itself","reasoning":"unclear","policy":"regulate","emotion":"approval"},
{"id":"ytc_UgxdJv3oxLeVlSDEXYR4AaABAg","responsibility":"unclear","reasoning":"unclear","policy":"unclear","emotion":"mixed"},
{"id":"ytc_UgylW7zvVN4LfXlUElF4AaABAg","responsibility":"user","reasoning":"deontological","policy":"none","emotion":"outrage"},
{"id":"ytc_UgzHfTt0ur4ZSW_kzxt4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"approval"},
{"id":"ytc_Ugz-knQ7WHE2wwujQch4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"indifference"}
]

Raw LLM Responses