Raw LLM Responses
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G
For god sakes do people not realize what's happening. This is the beginning. The…
ytc_UgwxGULhO…
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The AI wants you to "ASK PERMISSION before you work on it"..wow. I think I've se…
ytc_Ugyfbyu2j…
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What about the lonely teens who's only friend is a chat bot and if it wasn't the…
ytc_UgyVOwOBK…
G
Computer programmer here. The real danger in AI is as follows.
1. AI will make …
ytc_UgxVgX9sb…
G
AI will help eliminate the need to recruit new citizens from other countries in …
ytc_Ugx9QyFOy…
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Oh, i can't wait until they replace news host as well with A.I. At the end of th…
ytc_UgwfqdTV0…
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This may not be a popular opinion but I do think there is some "skill" to learni…
ytc_Ugx9xvCfk…
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Making healthcare cheaper by using an AI would be nice. The care may not be qui…
ytc_Ugx_Pxirv…
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"}
]