Raw LLM Responses
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G
Ai art will never overun the human comprehension. Everyone's gonna run to the ar…
ytc_UgwZkGibi…
G
Ai is based on american culture,neoliberal economy not speaking agains one race …
ytc_UgxXFaGOt…
G
You can believe this but its naive. His game is working like you say.
But just a…
ytr_UgzMW3MKD…
G
The problem is the data Ai extracts in unique and so it is transformative, and i…
ytr_UgyYZGqNr…
G
ATTENTION FOR OUR WORLD‼️ Please help polar bears byr bears by 1: Don't use AI. …
ytc_UgyEQE3iH…
G
i honestly think AI art is fine, if used properly, i think the problem lies in s…
ytc_UgxSK6qCu…
G
Im 50. Here is a list of the things that were supposed to kill us decades ago:
-…
ytc_Ugy1_KwrR…
G
okay, ai can do it “faster and better”, but it’s about the artist expressing the…
ytc_Ugw3Q-JBY…
Comment
1) This is not the end-all be-all video on the ethicality of AI. It's one side to an argument, which you should consider alongside other sides to the argument.
2) The points made here are valid, as the tech referenced is either available today or feasible within the coming years.
3) I would respect opinions of Hawking and Musk. Given their previous cross-field contributions, I imagine they have a strong ability to predict big-picture consequences. The "technical statistics PhD AI master-sage-wizard" you are hoping will weigh in, might not be able to predict all the possible ramifications of AI.
4) Yes AI can help people. But bad actors always persist. Given the stakeholders affected by them, we can assume the United States, JP Morgan, Yahoo, etc. have some of the strongest cybersecurity available. If they can and have been breached, it's reasonable to say that there is significant risk of bad actors doing similar with Autonomous Weapons (which, in this situation, would have bullets- not just credit card numbers). Which means we should be apprehensive about how we build.
youtube
2018-12-08T00:1…
♥ 2
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | unclear |
| Reasoning | mixed |
| Policy | regulate |
| Emotion | mixed |
| Coded at | 2026-04-27T06:24:59.937377 |
Raw LLM Response
[
{"id":"ytc_UgyrplhsBT3nFWgCI9B4AaABAg","responsibility":"unclear","reasoning":"consequentialist","policy":"unclear","emotion":"fear"},
{"id":"ytc_UgyksSvqXMK_yGMUxGh4AaABAg","responsibility":"government","reasoning":"consequentialist","policy":"regulate","emotion":"fear"},
{"id":"ytc_Ugzm7evec27OcKA8eOB4AaABAg","responsibility":"ai_itself","reasoning":"mixed","policy":"none","emotion":"approval"},
{"id":"ytc_UgzPFsAYP-e5Vuw8fBV4AaABAg","responsibility":"unclear","reasoning":"unclear","policy":"none","emotion":"approval"},
{"id":"ytc_Ugz70OAVGz0ggTxQuZt4AaABAg","responsibility":"none","reasoning":"deontological","policy":"none","emotion":"indifference"},
{"id":"ytc_Ugy7jIJbwjjOYNVRtf94AaABAg","responsibility":"unclear","reasoning":"consequentialist","policy":"liability","emotion":"fear"},
{"id":"ytc_Ugw6_kKDHyaWdkLVhVt4AaABAg","responsibility":"unclear","reasoning":"mixed","policy":"regulate","emotion":"mixed"},
{"id":"ytc_UgxOvlAcjFraYeFgGad4AaABAg","responsibility":"user","reasoning":"deontological","policy":"liability","emotion":"fear"},
{"id":"ytc_UgxbcmSie5k5VI-jOWB4AaABAg","responsibility":"government","reasoning":"consequentialist","policy":"none","emotion":"indifference"},
{"id":"ytc_Ugzp8zSaWb45ssGAl994AaABAg","responsibility":"developer","reasoning":"deontological","policy":"none","emotion":"outrage"}
]