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G The people who own the world already own A.I. weaponry. -- Thomas Jefferson said… ytc_Ugwwa1qIG… G AI IS ALREADY IN CONTROL OF US,I CANT GET MY EYES OFF THE BLOODY PHONE!! "IM SER… ytc_UgxUqs_bT… G Whats up with ChatGPT providing false facts as if they're true? Feels like every… ytc_UgwmXxU1D… G Real world AI (physical robots) will not replace physical labour for 30 years in… ytc_Ugxq5hGXK… G can we not have AI in critical functions of the society? which idiot decided to … ytc_Ugwp26hmI… G It may be old, but many people are still unaware of this dirty AI trick online, … ytr_UgxdPGMDr… G I'm a disabled artist and I don't like considering AI art as actual art. I can a… ytc_UgyTGX8YP… G My favorite sci Fi idea is that Super AI is just going to go into space and stay… ytc_Ugx8BIi97…
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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