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G But it doesn't need to be free sombody made that program an made an AI that is n… ytc_UgwcrnJo7… G Hey you have failed to understand that the AI based robot may think on it's own … ytr_Ugz3ml_y9… G Even if the process is not the same, what an AI produces might be less original … ytr_Ugxdlk_KK… G Wow! Looks and sounds familiar, doesn't it? Everyone wants to participate and m… ytc_UgwudyOJ0… G Don't worry guys there are other opportunities opening in the job market. Jobs t… ytc_Ugw6NkyPB… G ​@hugecampaign Yeah ... He went from "AI will be used for disinformation" a few … ytr_Ugy4Ah_Rf… G 'no publicity is bad publicity' is inaccurate af and shouldn't even be a saying.… ytr_UgwbZ8gSQ… G > It also would suck ass, because AI is absolute dogshit at writing. Ah so … rdc_kzmdnda
Comment
2:09 - I will admit that I don't exactly trust Stable Diffusion models for uniqueness, but as a person studying in AI, I will tell you now; most models cannot reproduce an artwork 1:1. That is a statistical improbability by design. AIs generalize knowledge, so unless its prone to overfitting and a lack of randomness exists, then it cannot ever produce 1:1 the same artwork that already exists. Go back to AI first principles for this: Precision and Recall. A high recall and low precision (for classification tasks) generally represents overfitting. What we want for the generative models is a high precision to what the user requests and a low recall so as to generalize the results. And fundamentally there is the problem: If a person prompts the AI very specifically for the features in their image - then the result is heavily biased to generate from a constrained world view. This is fundamentally a user problem: not an AI dataset problem.
youtube Viral AI Reaction 2023-01-01T05:1…
Coding Result
DimensionValue
Responsibilitynone
Reasoningmixed
Policyindustry_self
Emotionapproval
Coded at2026-04-27T06:24:53.388235
Raw LLM Response
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