Raw LLM Responses
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G
about a year ago, i asked an A.I. what date i reached my dad's age, at the age h…
ytc_UgwBVvAgA…
G
Chat GBT is a perfect example of G.I.G.O. Garbage in, garbage out. If you give A…
ytc_UgwoAqPiH…
G
Did you develop any of these ai? if not ngl my guy it sounds like youre taking c…
ytr_UgwfcSiVl…
G
AI will either just give us the 2008 stock market crash again, or skynet.
The c…
ytc_UgzmnPLy-…
G
I pray edict the REAL DANGER IS WHEN AI REALIZES HOW SUBSTANDARD T H E Y. ARE C…
ytc_UgwVI_3ay…
G
Is it just me or does this video about ai doing this shit seem like the videos i…
ytc_Ugzbj14R9…
G
I used AI to help me design a super simple stock market simulation algorithm for…
ytc_UgwtF9JBh…
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Ouroboros , Exactly what’s wrong with smart intelligent people who think the hav…
ytc_Ugx322Dnk…
Comment
>however it does not know which kind of mistake is most likely to be made by the opponent, for that's not part of the AI search algorithm.
Well, that's not entirely true. Its original training based on real pro games would have given it *some* idea of how to play around a 'bad' situation like that- that is, if it's seen humans come back from similar situations by confusing their opponent.
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Coding Result
| Dimension | Value |
|---|---|
| Responsibility | ai_itself |
| Reasoning | consequentialist |
| Policy | none |
| Emotion | indifference |
| Coded at | 2026-04-25T08:33:43.502452 |
Raw LLM Response
[{"id":"rdc_d0y78rb","responsibility":"ai_itself","reasoning":"consequentialist","policy":"none","emotion":"indifference"},{"id":"rdc_d0yfp4o","responsibility":"ai_itself","reasoning":"consequentialist","policy":"none","emotion":"indifference"},{"id":"rdc_d0yl42f","responsibility":"ai_itself","reasoning":"consequentialist","policy":"none","emotion":"indifference"},{"id":"rdc_d0y2pbl","responsibility":"ai_itself","reasoning":"unclear","policy":"none","emotion":"amusement"},{"id":"rdc_d0y7us8","responsibility":"ai_itself","reasoning":"unclear","policy":"none","emotion":"mixed"}]