Raw LLM Responses
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G
Okay first of all I'm a guy and this is the first time in all the years I've bee…
rdc_kor1o3c
G
It's CRAZY isn't it??? We've spent DECADES telling stories about the looming dan…
ytc_Ugxsg0HY1…
G
The same objections you have about a i art can be applied to traditional art as…
ytc_Ugy4Vg3fJ…
G
As the media right now talking in this news clip, AI is listening to them and al…
ytc_Ugy5pNhT7…
G
I wonder if Dagogo need to keep showing his face is due to youtube keep flagging…
ytc_UgzjDzJ6v…
G
A clever way to address AI concerns, forward it to "international organizations…
ytc_UgxkkLSbm…
G
Only the people who fear change will be hopeless. AI makes risk-takers even more…
ytc_Ugx3hf9Zy…
G
Well said, there's so much hysteria from people who are ignorant to the true inn…
ytc_UgzBMvhQ9…
Comment
Narrow AI: Alpha Zero was given the rules of chess and the goal: Checkmate the King. It then PLAYED ITSELF millions of games an hour. Result: It could beat any HUMAN grandmaster(not other programs) in 4 hours. NOW: it's the strongest chess player in the world. I forget how long it took to surpass Stockfish. But it wasn't long. Stockfish analyzes the positions in terms of material gain 1/3 of a pawn etc.. Alpha Zero thinks in terms of probabilities; which of these candidate moves will give me a greater percentage chance of winning? This is a narrow application that is totally valid. Human chess players could learn certain chess theory from the results. And as far as AGI and human ethics or morals... these all depend upon the humans It is interacting with in its beginnings. If the engineer or programmer has high ethical standards and moral imperative, the machine will learn that from him or her. I have the proof of these theories:
Substack.com/@DavyAnonymous Note: I just started this Substack a week ago. There's very little up there. It's free rn. I'm making no profit.
youtube
AI Governance
2026-04-07T15:0…
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_UgyEC1LKTuYRZr_0I_V4AaABAg","responsibility":"government","reasoning":"consequentialist","policy":"regulate","emotion":"resignation"},
{"id":"ytc_UgwuDluXcgFJm22OaVx4AaABAg","responsibility":"unclear","reasoning":"mixed","policy":"unclear","emotion":"unclear"},
{"id":"ytc_UgyUR5ePj-znxaPbOaZ4AaABAg","responsibility":"none","reasoning":"unclear","policy":"unclear","emotion":"indifference"},
{"id":"ytc_Ugx-WUd01SaIH7yGOW54AaABAg","responsibility":"ai_itself","reasoning":"mixed","policy":"unclear","emotion":"fear"},
{"id":"ytc_UgzhtWjVzGeK6QLLGqF4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"indifference"},
{"id":"ytc_UgxFZfpfCiZGF2E7v754AaABAg","responsibility":"company","reasoning":"consequentialist","policy":"industry_self","emotion":"approval"},
{"id":"ytc_Ugz91DQJgWc2HcULoLd4AaABAg","responsibility":"company","reasoning":"deontological","policy":"liability","emotion":"outrage"},
{"id":"ytc_UgwZZJtneETSlTus_-p4AaABAg","responsibility":"ai_itself","reasoning":"consequentialist","policy":"unclear","emotion":"fear"},
{"id":"ytc_UgxxtX4sLqB0QYN4DOx4AaABAg","responsibility":"user","reasoning":"virtue","policy":"none","emotion":"approval"},
{"id":"ytc_Ugy1gaBhNUmJMo2x1Yt4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"resignation"}
]