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G That man would’ve done the same, if not ai then a search engine, makes no differ… ytc_UgyuxSjCK… G @HiroKone The thing is for me, as a hobbyist, no one will ever be like "oh you c… ytr_UgzEDs8mS… G @adrianmmvula8951 once upon a time you were a child who could not sit up strai… ytr_UgwsngAsx… G western elites are so funny, they have a very unique vision about democracy. the… ytc_Ugzf7IrZ_… G But.. it literally does “remember” things you say and adds them to its memory. C… ytc_UgzcAjt0a… G It’s useful for the all the Cold War LARPers as they try desperately to grasp wh… rdc_hnx2ala G They don’t know that llama 3 will change the game, if not mistral or alibaba’s q… rdc_kok9los G Just because demand goes up (as per Jevon's Paradox), that doesn't mean that hum… ytc_UgzGwXWdQ…

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"}
]

Raw LLM Responses