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The article addresses the challenges imposed by the rapid development of the artificial intelligence industry, particularly regarding its ability to produce opaque results and the difficulty in understanding the behavior of advanced models. It indicates that the more advanced the models become, the harder they are for humans to evaluate, with risks of biases transferring and results being unreliable—especially since these results may give an impression of a level of confidence that surpasses their actual accuracy. The article also emphasizes the importance of humans remaining the ultimate interpreters and verifiers of information, with a need for clear regulations, independent sources, and awareness of technological limitations. It highlights that the rapid dissemination of information and the expansion of AI capabilities must be balanced with safety and credibility standards, alongside the necessity of enhancing users' digital literacy to help them assess sources and determine their reliability.
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