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The lack of transparency surrounding AI-generated content creates significant challenges with AI now producing a vast array of content beyond just text. This includes videos, images, reports, datasets, and even seemingly factual figures that can be misleading. As AI language, content and assistant models become more sophisticated, their ability to mimic human communication styles grows. While this offers users a wider variety of content formats and voices to explore, it also makes it increasingly difficult to distinguish between human-created and AI-generated content. What options does the future of search filtering empower us with when it comes to content optimization? And how can we optimize content in a decentralized, AI inclusive world?
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