Raw LLM Responses
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G
That would be funny if it was programmed to scream when the face is taking off.…
ytc_UgySvVx5K…
G
@Rubina980 it’s still theft and also takes from more modern artists. Heck, some …
ytr_Ugzq_MI7s…
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Y'all, AI has been CONTROLLING us for YEARS without our knowledge, our rights w…
ytc_UgwtSLR3V…
G
is there a place that does not in some way take advantage of what is close to or…
rdc_d3rgznu
G
He's spoken to everyone apart for actual people who work in offices and see AI f…
ytc_Ugzvfnuhp…
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The only one that looks like an ai is the dog one, and the first one looked stra…
ytc_UgzU9hDSi…
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They changed it. Interesting thing I learned from chatGPT, its knowledge base on…
ytc_UgyfY-jr2…
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The AI doesn't exist in-between messages. Every message is newly generated and o…
ytc_UgyiDo2z9…
Comment
The producers may not know how the AI teaches itself, but the programmers know. The fact that they are coy shows that, they were shown how to improve at chess, and simply applied lots of computation. So for chess we now know, the software ranks all the possible moves using a points system. It assigns VARYING weights to different factors such as centrality to the board, values of the pieces, opening up the position, etc, and runs millions of games. It can see from the data that it plays better chess when it assigns X to this component of the move and Y to this othe rcomponent. So it is honing in on how to properly evaluate each move. Grand masters used to argue the pros and cons of various possible moves and they had their own philosophies. Well the computer puts hard numbers to all this and learns to beat a grand master by creating a philosophy backed up and informed by winning percentages, and playing a billion times more games than a grandmaster could ever play.
The same techniques were used to train the chatbots. The feedback is more subjective and nebulous but you train a machine in the same old ways, you show it how to improve in a few examples, and then it fills in the millions of blanks by itself.
youtube
2025-07-06T01:3…
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | developer |
| Reasoning | consequentialist |
| Policy | unclear |
| Emotion | indifference |
| Coded at | 2026-04-27T06:24:59.937377 |
Raw LLM Response
[{"id":"ytc_UgxHx-HIU4MS7LvHZZ54AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"approval"},
{"id":"ytc_UgwF-2tUx8mRp-AUukt4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"indifference"},
{"id":"ytc_UgykdKH261UZSDKRrup4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"indifference"},
{"id":"ytc_UgyfAjDvskg7UtySrjV4AaABAg","responsibility":"developer","reasoning":"consequentialist","policy":"unclear","emotion":"indifference"},
{"id":"ytc_UgxwTkJoi_Deyv_f_O54AaABAg","responsibility":"ai_itself","reasoning":"unclear","policy":"none","emotion":"mixed"},
{"id":"ytc_UgxZIdgf9JDniqQEKSt4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"indifference"},
{"id":"ytc_UgzAhrwvJWpLMU53HQx4AaABAg","responsibility":"user","reasoning":"virtue","policy":"none","emotion":"approval"},
{"id":"ytc_UgxEfYQrsF1Uf4kEvah4AaABAg","responsibility":"user","reasoning":"consequentialist","policy":"none","emotion":"mixed"},
{"id":"ytc_UgzvI-jxfbCo6jKz_YZ4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"approval"},
{"id":"ytc_UgznRz2DOBARvqUPU6B4AaABAg","responsibility":"ai_itself","reasoning":"consequentialist","policy":"ban","emotion":"outrage"}]