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Message: <blockquote data-quote="A Man Called Charolais" data-source="post: 75715">'High-quality fabrications are already quick and easy to produce. Verification services have emerged, using AI to spot AI. The logical progression, however, will be an arms race between AI generators and AI detectors, leading to increasingly sophisticated fakes.The result will be a virtual reality in which users largely lose the ability to discern the genuine and the fake from looking at the content itself. Increasingly, they’d need to rely on third-party verification services or sources of information that have developed a solid record of authenticity....Despite technology advances, AI-generated content has been, up until quite recently, detectable with minimal effort. Synthesized voices speak with unnatural inflection, especially when trying to mimic emotion; figures in generated images sport unnatural anatomy, such as missing or extra digits.Yet over the past several months, these issues have been greatly mitigated. AI synthesizers can now speak in the voices of real people in a lively, even animated manner; AI images now feature persons with natural skin texture and accurate anatomy.There are still noticeable defects, especially in more <a href="https://twitter.com/RyanSAdams/status/1741271879728394339" target="_blank">complicated scenes</a> with multiple people in the frame. AI seems to still struggle with text in the background. A storefront sign in the background, for instance, often shows nonsensical or garbled text.“However, if those ‘giveaways’ are not there, it becomes really difficult—especially in the higher-quality images, like in the newer models—to detect,” Mr. Kvitnitsky said.“In many cases, it’s not detectable by the naked eye,” Mr. Marks said.In recent years, several companies have developed tools that use AI to detect AI-generated content.Mr. Kvitnitsky’s AI or Not is one of them.“We’ve trained our model on millions of images, both real and AI-generated. ... We’ve done the same thing with audio,” he said.Mr. Kvitnitsky said that “there are always artifacts that each respective AI model leaves behind”—a “combination of pixels” or sub-second wavelength patterns in an audio file, which would be unintelligible to the human eye or ear.'<a href="https://www.zerohedge.com/technology/arms-race-fake-ai-election-content" target="_blank">The 'Arms Race' For Fake AI Election Content Is On - ZeroHedge</a><a href="https://www.aiornot.com/" target="_blank">https://www.aiornot.com/</a></blockquote>

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Verification: Does Doxxie know his real father.

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