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G Please don’t take away 4o. I don’t want another model that mimics 4o. I want the… rdc_njhf9ah G OK at this point I just think the person that are answering these questions are … ytc_Ugz15w7Te… G Will AI even be smart enough to spread such unintelligent propaganda like thermo… ytc_Ugz4vUmkM… G AI is about to destroy what we have known to be “truth.”. When every bit of comm… ytc_UgyHO0EXU… G AI and robotics have been slowly changing our lives. In the near future the chan… ytc_UgyAMtggi… G counter argument in favor of a.i. "art" if its so easy and the program "creates … ytc_UgxggWERn… G Science and tech channels are largely responsible for popularizing the idea that… ytc_UgwKP6Lie… G I wanted you to ask George, if humans need purpose, and the AI begins to emulate… ytc_UgwogWkSd…

Comment

I think part of the vagueness in describing AI's benefits comes down to a vagueness in the very definition of "AI." Are we talking about targeted-domain neural networks trained on cancer or pharma data, or are we talking about Large Language Models? The AI field is much larger than LLMs, but because of all the focus on LLMs, there's this completely unsubstantiated claim that LLMs are capable of analysing non-language data. They are _language models_. They've been trained on all of the available documents related to cancer research, and can therefore answer "authoritatively" from that training (ignoring mistakes, contrary opinions, misunderstandings, misjudgments, hallucinations). They can recognise patterns in language, but LLMs are neither capable of analysing scientific data they've not been trained to process, nor the kinds of creative thought necessary to go beyond pattern recognition into the realm of invention. And let's not even get into the fantasies of AGI... So yes, we get Sam Altman's sales pitch about curing cancer, but OpenAI's products are entirely focused on language, so his statements are not grounded in truth, nor is much else he says apparently. But it sells product.

youtube AI Responsibility 2026-04-22T03:2… ♥ 7

Coding Result

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

Raw LLM Response

[
{"id":"ytc_Ugw3kZF7XTBhPMiN-IZ4AaABAg","responsibility":"none","reasoning":"unclear","policy":"unclear","emotion":"indifference"},
{"id":"ytc_UgxMhRvpwOgHmZxRWmh4AaABAg","responsibility":"government","reasoning":"consequentialist","policy":"unclear","emotion":"fear"},
{"id":"ytc_UgyuUj81voCoOwyo1kx4AaABAg","responsibility":"user","reasoning":"deontological","policy":"liability","emotion":"approval"},
{"id":"ytc_Ugx0GYNlUUcSrSqTYCd4AaABAg","responsibility":"company","reasoning":"mixed","policy":"unclear","emotion":"mixed"},
{"id":"ytc_UgxGsATK1RZyznOhT4d4AaABAg","responsibility":"none","reasoning":"unclear","policy":"unclear","emotion":"indifference"},
{"id":"ytc_UgzB_UC3BjaDx74Bhap4AaABAg","responsibility":"government","reasoning":"deontological","policy":"unclear","emotion":"outrage"},
{"id":"ytc_UgxORgxyIRalS7qyQsJ4AaABAg","responsibility":"distributed","reasoning":"consequentialist","policy":"regulate","emotion":"fear"},
{"id":"ytc_Ugxi6XyrjRaMBCE5PiZ4AaABAg","responsibility":"none","reasoning":"virtue","policy":"industry_self","emotion":"approval"},
{"id":"ytc_UgyRA8-31QyLa_fd8Sx4AaABAg","responsibility":"none","reasoning":"unclear","policy":"unclear","emotion":"mixed"},
{"id":"ytc_UgyT7fe5VfHN7LSH8GV4AaABAg","responsibility":"ai_itself","reasoning":"consequentialist","policy":"unclear","emotion":"fear"}
]

Raw LLM Responses