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G I remember when Sophia was only a talking head, she's come a long way. Now I wa… ytc_UgxCdL4Cj… G I don't know. In some simpler cases, such as breast cancer (I'm not a doctor), … rdc_f1ej94j G The AI is NOT getting better every day. It makes some improvements at times alth… ytc_UgxZtm8Mu… G This guy is a CEO and doesn’t know how AI works?? Hmmm. 🤔 We know exactly how… ytc_UgyWmJe35… G I work with chemicals in a goods manufacturer and I would be ok if I knew that n… ytc_UgyePs5Lb… G "Most people want to be productive" Yeah, sure, but do people really want to be … ytc_UgxY-IbgE… G When a robot takes a humans job, the company should have to pay a tax big enough… ytc_UgwTMyO33… G Big tech have already proven that reasonable regulation is possible. They have … ytc_Ugwff4_dZ…
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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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