Raw LLM Responses

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G It takes no effort to make and it doesn't have what "human art" has, which is pa… ytc_Ugy3aUybs… G It's a world Imerjency human has to fight it's time for revolution to stop AI F… ytc_UgyHFllx5… G @LaborBriefwe are building an artificial brain, critical thinking will definitel… ytr_UgxbfJvrm… G Yes, she seems to be a great stateswoman and we need her, especially to oppose t… rdc_ni1456g G lol watching this after google completely got rid of their entire ai ethics team… ytc_Ugxgi2NNy… G Many physicians will be replaced. Radiologists may be the first. Internists who … ytc_Ugz6U3KnD… G I'm not leaving king AI too much. This looks too real. Techs are getting better … ytc_Ugx8pf8wd… G Those CEOs jumped the gun prematurely. People/workers/employees have to acknowl… ytc_Ugw7DFFuB…
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.
youtube Viral AI Reaction 2024-10-07T17:5…
Coding Result
DimensionValue
Responsibilityai_itself
Reasoningdeontological
Policyunclear
Emotionmixed
Coded at2026-04-27T06:24:59.937377
Raw LLM Response
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