Raw LLM Responses
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G
Isn't it crazy how he can make the most articulate, well-reasoned, effective int…
ytc_UgyEDgIId…
G
I tested this today with ChatGPT and it was not biased. Even though its knowledg…
ytc_UgwB42trx…
G
Hey there! Yes, it’s quite surprising, isn’t it? Sophia’s insights into wisdom r…
ytr_UgzoTBJJM…
G
IT Field Engineer and Remote Desktop engineer. Will AI be able to do my job?…
ytc_UgxcBxCdz…
G
More than half of code on stackoverflow is AI generated. If you hire an engineer…
ytc_UgwhcBGvw…
G
The success of your deepfake just comes down to how much youre willing to spend …
ytc_UgxLtZaYC…
G
Aj was the problem here, not the AI.
This guy reminds me a little of another g…
ytc_UgwawGHFt…
G
YES THANK GOD YOUR THE ONLY GOOD CREATOR THAT HASENT BECOME AI Aum sum became a…
ytc_UgwdEO0lp…
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"}
]