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G In the last month I've noticed ChatGPT is improving exponentially. This guy isn'… ytc_UgyCFjB2Y… G I’m not sure people realise where AI will end up. It won’t be like terminator, i… ytc_Ugy_VT4Kr… G I can't even draw stick figures properly in my elementary years. Now I can draw … ytc_UgwrgM7te… G We understand your concerns! It can be a bit unsettling to think about AI in our… ytr_Ugxg4zXvM… G There will be channels one day, in order to set themselves apart of others will … ytc_UgxfljQRg… G It is not that we were underestimating capabilities of AI. It was that we were o… ytc_UgzkJyFM2… G Well, people were alreday able to delude themselves into thinking that the earth… ytc_UgzxkKYPj… G The difference isn't the medium of the art, it's that Ai art isn't made by a per… ytc_Ugx-Z96Em…
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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…
Coding Result
DimensionValue
Responsibilitydeveloper
Reasoningconsequentialist
Policyindustry_self
Emotionapproval
Coded at2026-04-27T06:26:44.938723
Raw LLM Response
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