Raw LLM Responses
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G
And this is why generative AI is inherently fascistic in nature. The people pedd…
ytr_UgzKoDfzw…
G
I'm very glad to hear Brandon's changed his stances on the ethics of AI art, I w…
ytc_Ugym0_-zy…
G
Professor Hawking,
I was hoping you could clarify an issue related to the ethic…
rdc_ctkgy3m
G
@ElCalvazo because replacing developers with AI is going wrong now that doesn't …
ytr_Ugy0X6JBD…
G
I'm a student mathematician doing my final year research project and it SCARES m…
ytc_Ugzf2HmYF…
G
I appreciate your perspective! It's true that Sophia, like all AI, is a creation…
ytr_Ugxj5mKv9…
G
F*ck AI. And if you use Chat GPT for everyday questions AND health related quest…
ytc_UgzwR30cf…
G
I tried to find images of an endangered antelope that I think is cool and the SH…
ytc_UgxwwItgv…
Comment
The problem, always with calling "AI *art*" is that it's not. It's an averaging algorithm. Ask it to make an "Afghan woman" and you will 100% of the the time, get something that looks nearly the same as "The Afghan woman" Sharbat Gula from 1984. Because that is what those keywords used together are going to find. It knows of no other Afghan woman. AI LLM's are trained on data and it takes weeks or months to churn and update the data. So there is no ability to ever do something on short-term notice based on current events, or any upcoming events. The LLM has a better chance of writing a story about someone being dead in a fictional scenario, and is thus "satire", by accident. Same with generating a photo, it will never, generate two identical photos without the same seed, but give it the same seed and keywords, it will generate the same pixel-for-pixel image. Because that's how the LLM works. "these two letters are often found near each other", "these two words are found together, with these pixels". It's autocomplete with a very large dictionary that extends to visual data.
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Viral AI Reaction
2024-10-07T17:5…
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | ai_itself |
| Reasoning | deontological |
| Policy | unclear |
| Emotion | mixed |
| Coded at | 2026-04-27T06:24:59.937377 |
Raw LLM Response
[
{"id":"ytc_UgyqU0oZl01kKFaQ95F4AaABAg","responsibility":"unclear","reasoning":"deontological","policy":"unclear","emotion":"mixed"},
{"id":"ytc_UgwM21iF8FIfDm73Oxl4AaABAg","responsibility":"user","reasoning":"deontological","policy":"none","emotion":"indifference"},
{"id":"ytc_Ugwo9mkqJ9QMh9AcgBt4AaABAg","responsibility":"ai_itself","reasoning":"mixed","policy":"unclear","emotion":"outrage"},
{"id":"ytc_UgziyQAeZ8B2VWpl7JV4AaABAg","responsibility":"user","reasoning":"virtue","policy":"unclear","emotion":"outrage"},
{"id":"ytc_Ugzmqh1huNoXJA2Zgmt4AaABAg","responsibility":"unclear","reasoning":"deontological","policy":"unclear","emotion":"mixed"},
{"id":"ytc_UgxN2Wbi4Inaco4FBxh4AaABAg","responsibility":"distributed","reasoning":"consequentialist","policy":"unclear","emotion":"outrage"},
{"id":"ytc_UgwIHVduJdbq2a2Tyv54AaABAg","responsibility":"ai_itself","reasoning":"deontological","policy":"unclear","emotion":"outrage"},
{"id":"ytc_UgzTgz2BfE36v_D6lJF4AaABAg","responsibility":"ai_itself","reasoning":"deontological","policy":"unclear","emotion":"mixed"},
{"id":"ytc_UgyNDGnq3EOVIS5WnDZ4AaABAg","responsibility":"user","reasoning":"virtue","policy":"unclear","emotion":"outrage"},
{"id":"ytc_Ugw4CDKLZPg4uO04pUh4AaABAg","responsibility":"user","reasoning":"deontological","policy":"none","emotion":"approval"}
]