Raw LLM Responses
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G
Wow wtf this is the problem with society we badly need to start teaching this ou…
ytc_Ugyh3Ckxw…
G
'AI will democratise art for the people, people like the companies that will rep…
ytc_UgyiNR4gz…
G
Giant multimillion dollar Pentagon contracts MUST go to Anthropic competitors in…
ytc_UgxMtGzdL…
G
Ai is very dangerous for humans being when Ai takes millions of jobs who will be…
ytc_UgzI4vbFY…
G
I think tesla autopilot should be heavily scrutinized,regardless of the customer…
ytc_UgxgXPRMR…
G
Guys. I’m nervous about change also. But AI is here. Need to focus more about wh…
ytc_UgyFJkX-5…
G
As I have said before. With the advent of AI maing at least somewhat belevable m…
ytc_UgylB_Y-f…
G
This. There is a reason the companies behind machine learning image generators d…
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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"}]