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G For some reason people focus more on the rogue AI part of the video. But that's … ytc_Ugw0hZES9… G AI art is starting to get more rampant recently especially with the whole studio… ytc_Ugw8EyafC… G Yesterday, I was trying to be rude to my ChatGPT. I woke up the second day and h… ytc_UgyZu4uto… G It's not awful if you know how to set up an AI agent to do a specific job. There… ytr_UgzSqyCVf… G People need to stop calling these search engine programs "Artificial Intelligenc… ytc_UgxxALLvJ… G ML/AI classes are more about math and statistics, actually implementing the mode… ytc_UgxU1kMPh… G Robot: "damn it Carl!!!". As he shouts at the other robot and takes his anger ou… ytc_UgzvXSsuO… G Addressing the potential consequences of widespread job displacement due to AI i… rdc_kithtn1

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