Raw LLM Responses
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Most schools in the US teach only the core academics (if you are lucky), so the …
ytc_UgzaOt3ja…
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14-APR-2024 : I calculated that in near future, after robot replaces 80% worldwi…
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@laurentiuvladutmanea you just described how the AI learns. And soon they will c…
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The look on her face... I think this is the first recorded instance of an AI bei…
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Oh no please, not this P.C. crap going into programming A.I. ugh
It’s very simp…
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I am not convinced since the latest AI LLM chatbots keep getting dumber and dumb…
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You guys have no idea how disruptive automation will be. At least the White Hous…
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I actively used „delve“ for the first time yesterday (as a non native speaker) j…
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Comment
imo, language and words do not have a clear boundary between black and white. That's why it is a complex task for ai to decode all of it what even most of the humans don't know exactly to the atom level what is happening. I thought we should discuss about intention first as well, before asking a machine like that if it intended to lie. This would mean a minus for one's social currency as a living human in a society. And it also is implified with some kind of mean and evil will. But chat gpt cannot have it, so it said no, I wasn't lying. But Alex chose a much more literal definition of lying, which is telling the absolute truth or not. With given ovservations, I would say it's amazing how chat gpt is choosing a more socially skilled manner of answering over the literal sense. And also adapting to the needs of Alex. This is what I think happened, so I don't think, that it intentionally lied. It is at the end a product, so could've been designed with biases of the companys will, which is to make chat gpt used by more people. And that people in a massive amount, would mostly prefer a socially skiled chat gpt over a non flexible robot like chat bot.
youtube
AI Moral Status
2024-12-19T14:4…
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | none |
| Reasoning | mixed |
| Policy | unclear |
| Emotion | mixed |
| Coded at | 2026-04-27T06:24:59.937377 |
Raw LLM Response
[
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{"id":"ytr_UgxcG6KfUuxMbtqVce94AaABAg.ADE97e6K9D0ADE9OfUi-lm","responsibility":"none","reasoning":"consequentialist","policy":"unclear","emotion":"indifference"},
{"id":"ytr_UgxScLN12vwmPU5vJm14AaABAg.ACuWpFSkWZsACuZDUTKOg6","responsibility":"none","reasoning":"mixed","policy":"unclear","emotion":"mixed"},
{"id":"ytr_Ugztduxhyu5-0_uOSQt4AaABAg.ACoy8FBwTVlAIblEvzzCmz","responsibility":"none","reasoning":"unclear","policy":"unclear","emotion":"indifference"},
{"id":"ytr_Ugztduxhyu5-0_uOSQt4AaABAg.ACoy8FBwTVlAMJw5pA-wf-","responsibility":"company","reasoning":"unclear","policy":"industry_self","emotion":"indifference"},
{"id":"ytr_UgzfZhH9Ie_PXkxGKRR4AaABAg.ACgjqBbsrGKACh-PZBuodh","responsibility":"company","reasoning":"unclear","policy":"unclear","emotion":"indifference"},
{"id":"ytr_UgwUkeIy-BsoV25eNo94AaABAg.ACe6V_IQBXPACeyHUrJMc3","responsibility":"none","reasoning":"virtue","policy":"none","emotion":"approval"},
{"id":"ytr_Ugzhh3Q41g6jfFhE0gp4AaABAg.ACLpFES1736ACNHlIXCgSt","responsibility":"user","reasoning":"deontological","policy":"unclear","emotion":"indifference"},
{"id":"ytr_UgyeQPK86cSAXMRMthV4AaABAg.ACEMgwlYGbFACEOgieXKfd","responsibility":"none","reasoning":"mixed","policy":"unclear","emotion":"mixed"},
{"id":"ytr_UgzUnYtY-c6GK_oECVt4AaABAg.ACE6KvgSm6GAECjTygiIF0","responsibility":"none","reasoning":"unclear","policy":"unclear","emotion":"indifference"}
]