Raw LLM Responses
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G
From miles I can tell it’s a robot. That is worth 3000 made in China…
ytc_UgyWp6vXl…
G
SORRY LONG COMMENT - (I am an instant fan and just wanted to get out the gushin…
ytc_Ugyj7hjGh…
G
I completely stand with you. ✊️
For me it feels like someone clones me or someo…
ytc_UgzygD5BE…
G
Wow… that was both terrifying and incredible at the same time. I really hope AI …
ytc_Ugy5RLi9c…
G
A crazy as this sounds they should get a taste of their own medicine not deepfak…
ytc_Ugx9AgwsT…
G
I fiddle with AI art on my own PC. I'll never post it publicly, but it has been …
ytc_UgyPv2W2Q…
G
🎉I have a thought for programers. If the robot is treated in a disrspectful mann…
ytc_Ugxj4ar67…
G
i have thee i mean THEEEE MOST DIOBOLICAL TEXTS WORSE THAN XBOX 360 PARTY CHATS …
ytc_UgwJiJ3Pu…
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"}
]