Raw LLM Responses
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G
We are very close to World War Three - so AI won't change the DOOMSDAY that is c…
ytc_UgwYEqEVu…
G
It's disasterous to the average person. The wealthy don't have a realistic outlo…
rdc_dt9h2dg
G
AI MUST BE HALTED, INVESTIGATED FOR ILLEGAL INVASION OF PRIVACY, SEXUAL EXPLOITA…
ytc_Ugzw4ocV-…
G
I get that a joke is going to sacrifice a lot of naunce, but I find the "lol loo…
ytc_UgxbgDtXB…
G
never tried AI art but I sure hope it actually replaces digital artists. they're…
ytc_UgwZDUdHn…
G
AI algorithms spit out propaganda. Only those who engage the AI in conversation…
ytc_UgxL91fba…
G
And when the equality gab widens, the rich will have robots to protect them. AI …
ytc_Ugxqnmay9…
G
Kudos to the young man to not take a settlement (and most likely an NDA) from Te…
ytc_Ugy3qwMWN…
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"}]