Raw LLM Responses
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Pregunta sería tendrían algunas medias descompuesta y a menor precio xq no estoy…
ytc_Ugyl5XbVm…
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People have been clicking stop lights buses motorcycles and people to log on onl…
ytc_UgzzqgaVd…
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I just recently watched a video of a Chinese couple ( man was from a European co…
ytc_UgxJUG_D0…
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i dont see the problem lol i dont think they claimed the Art was not AI am i mis…
ytc_Ugy0zARPn…
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How is this reconciled with the fact we have a consumer centric economy? That is…
ytc_UgyZCl51-…
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Hey at least you're honest! Hope this vid helped at least explain our reservatio…
ytr_UgzcZWcpo…
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How about AI replaces the CEOs first? A bunch of useless sociopaths. Shouldn't b…
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Interesting take and it makes sense but lets say everything goes how you say. A…
ytc_UgwXSK_N3…
Comment
Foundation models are great at summarising concepts, which means that they can’t think for us without any additional framework on top of it. Programming is essentially problem solving so right now we need to use AI as faster way to retrieve documentation but even that is not going to work if the dependency which the documentation is about is frequently updated as the AI need to be periodically relearnt.
The only way for AI to start proper reasoning is with AI agents which could continuously learn from its own mistakes. (Not just syntax errors but also availability, security,requirement changes etc.) Unfortunately this concept is not well understood just yet we need more research in this area.
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Coding Result
| Dimension | Value |
|---|---|
| Responsibility | none |
| Reasoning | consequentialist |
| Policy | none |
| Emotion | indifference |
| Coded at | 2026-04-26T23:09:12.988011 |
Raw LLM Response
[
{"id":"ytc_UgxleJu-6sLkD3Le33p4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"approval"},
{"id":"ytc_Ugza-coFWH-orgiJhsp4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"indifference"},
{"id":"ytc_UgydOMp2XYjxU-D-wPt4AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"outrage"},
{"id":"ytc_UgxnJ5QJ0-U40p3W0AR4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"approval"},
{"id":"ytc_UgwaBosly0lUwmb3vXd4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"indifference"},
{"id":"ytc_Ugzfzmazo6pLdVQ9qpF4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"approval"},
{"id":"ytc_UgxEKcnlCI_ggQysJCZ4AaABAg","responsibility":"user","reasoning":"deontological","policy":"none","emotion":"approval"},
{"id":"ytc_UgzqjIbs_3_LBJaYGAJ4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"indifference"},
{"id":"ytc_UgxdTdpd2451Dxf3VCB4AaABAg","responsibility":"developer","reasoning":"consequentialist","policy":"industry_self","emotion":"approval"},
{"id":"ytc_UgysmkfczKxj56uYWQZ4AaABAg","responsibility":"user","reasoning":"consequentialist","policy":"none","emotion":"approval"}
]