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G Firstly, Josh: That is exactly why everyone capable of thought, think "the alarm… ytc_UgxopntF3… G So self-driving cars run red lights, block traffic, hit people, take too long to… ytc_Ugweit1p7… G No one will recieve Government benefits because it's public money / taxes and AI… ytc_UgxlSOK4E… G I heard some Ai “artist” having plans to make business out of it that can be don… ytc_UgyYvfZlp… G The fact that anybody wants to blame ChatGPT shows that the people doing the bla… ytc_UgzPuXu-G… G While it's a philosophical perspective, some argue that the human mind can be se… ytc_Ugzgcpv2k… G We were already struggling with our power grid before, now we have around 5000 n… ytc_UgxIagUrO… G ............ {***A.I.***} or whatever would know its needs, and 'if possible', m… ytc_UgzVj6rPH…
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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
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Coded at2026-04-27T06:26:44.938723
Raw LLM Response
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