Raw LLM Responses
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G
I went to use AI for a little bit and got contradictory information and stupidly…
ytc_UgxFd3Eqh…
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Earlier versions of AI
If you changed one or two words of Jokr couldn't get the…
ytc_UgwhHmXr4…
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How can artifical intelligence equal real intelligence?
AI cannot design systems…
ytc_Ugy61t9MO…
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How come nobody insists that the capatist society is run by market rather than p…
ytc_Ugxpm-nkE…
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@EvoDeVeau she was talking about suing the website not atrioc. atrioc had her nu…
ytr_UgzKhtgS_…
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When cameras were invented, painters lashed out against photographers because al…
ytc_Ugxka7hSE…
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What if we deep faked politicians in “compromising” situations that would ruin t…
ytc_UgzD24VcO…
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hii! i am a disabled artist, so here are my two cents on the disability argument…
ytc_Ugy3L_43z…
Comment
Unfortunately, half of NLP researchers don't think even fine-tuned LLMs can ever understand NLP (https://arxiv.org/abs/2208.12852), so unless all those experts are wrong and someone does make a breakthrough I don't see how things can get drastically better. Hence why when you use AI to do anything you're immediately impressed because it broadly came up with a good answer, but once you start drilling down into specifics and increase the complexity of the ask it struggles. That's an NLP complexity problem not a context or memory problem.
Realistically speaking, I think they're going to have to walk back the idea of LLMs having fully autonomy, and instead go down a modified supervised learning path where LLMs are fine-tuned based on manual corrections made by humans.
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Coding Result
| Dimension | Value |
|---|---|
| Responsibility | none |
| Reasoning | consequentialist |
| Policy | industry_self |
| Emotion | resignation |
| Coded at | 2026-04-25T08:13:13.233606 |
Raw LLM Response
[
{"id":"rdc_mhjzsi2","responsibility":"unclear","reasoning":"unclear","policy":"unclear","emotion":"fear"},
{"id":"rdc_mic92ft","responsibility":"company","reasoning":"deontological","policy":"liability","emotion":"outrage"},
{"id":"rdc_micfh5j","responsibility":"company","reasoning":"virtue","policy":"none","emotion":"outrage"},
{"id":"rdc_mjhi7x2","responsibility":"company","reasoning":"deontological","policy":"regulate","emotion":"outrage"},
{"id":"rdc_mk1922l","responsibility":"none","reasoning":"consequentialist","policy":"industry_self","emotion":"resignation"}
]