Raw LLM Responses
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G
Not to worry by the time the robots become self aware there will be a great popu…
ytc_UgzHY6No7…
G
@janetbarber6781 Well, you're right that I don't know what they feel, but I know…
ytr_UgzFvIgxl…
G
Amazon just shut down OKC9 and laid them all off with severance pay. The workers…
ytc_UgyQ3yklF…
G
It is obvious that AI must be run on decentralised platforms because the power t…
ytc_UgxaEfbhg…
G
When anyone UPLOADS a video then services like Twitter, Instagram, Tiktok...etc …
ytc_UgwKA3ulc…
G
Why would AI end humanity?
Ask AI for the plan to benefit humanity instead of de…
ytc_UgyTA9b8x…
G
Who is 'we'? There is no world wide power to say what Sovereign Countries can do…
ytr_UgycyUcsw…
G
That’s not true at all wtf lol there’s videos of teslas saving lives. Waymo’s ar…
ytr_UgxlZxbAy…
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"}
]