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G It's just a matter of time before the Will Smith movie "I, Robot" becomes a fuck… ytc_UgyaUAX2Y… G AI is actually really great to replace employees, well as long as you are conten… ytc_UgxNndhy7… G don’t call them an ai artist, such a thing doesn’t exist, they’re simply an ai f… ytc_UgxEiCkEC… G Interesting take on the human mind. I am really intrigued to believe that us hum… ytc_UgwYCE4nG… G It seeme the people who swear by ai seem to either not realize its not sentient … ytc_UgzZyx5zx… G Did she really just say “most people don’t know how fast Waymo is expanding”? L… ytc_UgwD7BIu0… G perish off the face of the earth or some modifications like robot-human hybrids … ytr_Ugz_5Cx5p… G if ai emotions arent 'real', as they are just simulated as opposed to humans, wh… ytc_UgwLIXAE6…
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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