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G It's ai like A* is ai in super Mario. Works like it is ai but it's not. There i… rdc_oi1zc9x G ​@Jay L AI does not come to the conclusion that blacks are "inferior" to Whites… ytr_UgyoaoqEa… G ai will wipe out the working class and that will be great because those who dont… ytc_UgxxAt9dL… G It sounds like you're referencing a scene from "Terminator 3"! While our video f… ytr_UgwsqR-aD… G I'll watch but even before doing so chatgpt doesn't censor the questions. But it… ytc_UgzYk88DB… G How to eat a robot in every day like a meal break fast, lunch, dinner... Memory … ytc_UgyVmV897… G I will offer this that AI does worry me, too. Every vocation in an area of emplo… ytc_UgxPO5HGt… G We appreciate your perspective on AI. While Sophia is indeed a machine programme… ytr_UgyPv5C-R…
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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