AI systems are powerful, but reliability is still a major limitation. Many models produce confident answers that may include factual errors. @Mira - Trust Layer of AI addresses this by introducing a decentralized verification layer where AI outputs are split into individual claims and validated by multiple independent models. This consensus-driven approach can improve accuracy and create a stronger trust framework for AI-powered applications.
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