Raw LLM Responses
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G
The dust is all over our face and we are blaming the mirror for it. AI learns fr…
ytc_Ugw02WoMY…
G
What if God(s) created humans in his/their own image and ultimately humans broug…
ytc_UgyzcberY…
G
The more business adopt AI the more they find out it DOES NOT WORK. It's nothing…
ytc_Ugx4EsofN…
G
My advice to high school students .... stop focusing on a "job" as the goal. Th…
ytc_UgxcCr3Ox…
G
This is amazing and it shows the potential of AI. We are already seeing AI evolv…
ytc_UgwS5bxrs…
G
I imagine AI is like a child, you have to raise it correctly. Give it time to un…
ytc_UgwPdF0gK…
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The narrative of this content is compelling and impactful. A similar book I read…
ytc_UgzAK_1qx…
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Disabled streamer and artist here! I think AI is BIG DUMB and i think the excuse…
ytc_UgxXS3mJ9…
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"}
]