Raw LLM Responses
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G
us artists love the final product of our efforts, but the work we put into it wh…
ytc_Ugx_7g-fp…
G
Doctor Joy is cute. And ummm yeah We gotta be careful with the AI stuff. But doc…
ytc_UgyhjBFdh…
G
Hope you're chinese, because i would love to say "Ni Hao" than saying hello to y…
ytc_Ugzn9-xBG…
G
There is some truth here not gonna lie, but I still think this is different in s…
rdc_n61azxg
G
The problem with this is now the ai people will just lie and say it's not ai…
ytc_UgyKNzGP8…
G
Don't call him an artist even for relevance. Don't call ai image an art even for…
ytc_UgyGITABn…
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It's simple...
If they invest in robots and AI, the the people need to stop fun…
ytc_UgzETLUe1…
G
Becus of the limitation u gave "DAN" he is what u woude call a narcisist, so for…
ytc_UgzVrciAe…
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"}
]