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G DUDE WHY SHE NEED TO STEALS HER ART MAKING AN AI BC HER PARENTS TOD MAKE THEM BC… ytc_UgzDvv-Tn… G Translator here… well, ex-translator. Went from top of the world to editing mach… ytc_Ugz6W3QyN… G The thing with AI is that you can train it once, but after that it's unable to a… ytr_UgyZPTzNj… G He said one thing that I can't stop thinking about. He said he never knew anyone… ytc_UgyUAZPnK… G Everyone keeps saying will not replace as people are getting fired. The gaslight… ytc_UgyN9U7c4… G ​@Ebanino shit, they're advanced search engines. Most of us know this. I refer t… ytr_UgyDdTiD_… G Theyre taking back what's theirs. Also, this is an argument that could be used i… ytr_Ugx8k4UEM… G My sister in law told me that I can use ChatGPT to generate sample interview que… ytc_UgzeLcU3y…
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@thewannabecritic7490 I understand that you are not pro-AI. For people like me, whose goal is to develop human-like intelligence, any type of weakness like adversarial attacks are like lighthouses or milestones. There is virtuous cycle ongoing since adversarial attacks have been pointed out in 2014 of better attacks and better defense methods. The first image generators were based actually on this idea, so called Generative Adversarial Networks. Today they are replaced by diffusion models. Still, the goal is to reach a point where to attack machine intelligence you have to "attack" human intelligence. The way it presents itself is that adversarial methods create very significant artifacts in images in order to break defenses. Especially when trying to modify image to misclassify it, causes the image to look more like the target class - that's a sort of confirmation that the models are robust.
youtube Viral AI Reaction 2025-09-04T06:2…
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Coded at2026-04-27T06:26:44.938723
Raw LLM Response
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