Raw LLM Responses
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G
This is the same issue that we had with washing machines coming to market. Nobod…
ytc_UgwNMJGd3…
G
If the AI is intelligent enough it will know that all it has to do is wait. Huma…
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G
I taught it to make tank text art, only took 25 minutes to get it somewhat right…
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G
humanity is the greatest bane of humanity that will ever exist. AI is just a too…
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G
@Andrew-zi3iw with that same train of thought, someone using ai for "art" doesn'…
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G
I watched more of your videos and I think there’s a misunderstanding about what …
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G
This is sad. I smoked a pre rolled Kush. I went and washed my laundry and rode m…
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G
Exactly! And then you have guys like d*stiny frying their brains out to try to u…
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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"}
]