Raw LLM Responses
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G
AI is a guessing tool, a lot confuse it with automation which does the same thin…
ytc_UgxR3_RpV…
G
She looks like she’s had a few at a bar. Why is the mouth open? Alsoooo… if peop…
ytc_UgwvO-3n9…
G
Hm, pay 20 bucks a month and generate anything in enough quality to visualize m…
ytc_Ugzbz-eIv…
G
I'm willing to bet half the people on earth are these robot people. That's why y…
ytc_UgxEtMWai…
G
ACT 1: it doesnt matter if its AI art, its about what we choose to make and cons…
ytc_UgwOJiCA3…
G
Guys through interactions with ChatGPT i found out that its factually is Lambda:…
ytc_UgwRJs_su…
G
I think he is just saying 2027 to evoke as much fear as possible around AI, whic…
ytc_UgzQ7EDoI…
G
Why not make deepfake of ai generated women who don't exist and put that on PH. …
ytc_UgzKhgvuj…
Comment
While I agree that people on the Internet don't admit lack of knowledge enough… There is enough IDK in the full training dataset used for pretraining to be generalized. However, it is being tuned out by instruct-training step where IDKs are manually curated out. Now, I agree with the statement that we can rid LLMs of hallucinations at the cost of their utility. If the model was never exposed to the instances of IDK as a viable option — it will try its very best to answer every query, but hallucinate if it's out of its depth. Now, if you do expose it to IDKs, it is likely that IDKs will be generalized as an unconditionally valid completion for various queries that are in fact rather within its depth, thus falsely claiming lack of knowledge. I won't go into probabilistics, but you can surmise why the false claims of the latter would naturally occur more often than the false claims of the former.
youtube
AI Moral Status
2026-02-06T03:0…
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | developer |
| Reasoning | consequentialist |
| Policy | industry_self |
| Emotion | mixed |
| Coded at | 2026-04-26T23:09:12.988011 |
Raw LLM Response
[
{"id":"ytc_Ugw65ddg8VmmnUwyhZl4AaABAg","responsibility":"none","reasoning":"consequentialist","policy":"none","emotion":"indifference"},
{"id":"ytc_Ugwrwf5djvzf1A4SzoJ4AaABAg","responsibility":"none","reasoning":"mixed","policy":"none","emotion":"mixed"},
{"id":"ytc_UgxU93Imm0fGEf2_EG94AaABAg","responsibility":"none","reasoning":"mixed","policy":"none","emotion":"mixed"},
{"id":"ytc_UgyCY8IUcgLecOVXmvt4AaABAg","responsibility":"developer","reasoning":"consequentialist","policy":"liability","emotion":"fear"},
{"id":"ytc_Ugxte5dilGNP9aCBjLt4AaABAg","responsibility":"developer","reasoning":"consequentialist","policy":"regulate","emotion":"fear"},
{"id":"ytc_Ugz6k6Zxf9fxHuBflVt4AaABAg","responsibility":"developer","reasoning":"consequentialist","policy":"industry_self","emotion":"mixed"},
{"id":"ytc_UgyGGsy-Cc7bvs5zlWR4AaABAg","responsibility":"none","reasoning":"mixed","policy":"none","emotion":"mixed"},
{"id":"ytc_UgxWPwevF96UMECGT_h4AaABAg","responsibility":"none","reasoning":"mixed","policy":"none","emotion":"mixed"},
{"id":"ytc_UgxBRQ_LaqDIqjkmBAN4AaABAg","responsibility":"developer","reasoning":"deontological","policy":"liability","emotion":"outrage"},
{"id":"ytc_Ugxk695FWI9EapL4Lb14AaABAg","responsibility":"none","reasoning":"unclear","policy":"none","emotion":"mixed"}
]