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  • With a vast amount of structured, verifiable data, it supports decentralized training and inference, mitigating the risk of manipulation or bias in AI models.
  • With a vast amount of structured, verifiable data, it supports decentralized training and inference, mitigating the risk of manipulation or bias in AI models.
  • With a vast amount of structured, verifiable data, it supports decentralized training and inference, mitigating the risk of manipulation or bias in AI models.
  • With a vast amount of structured, verifiable data, it supports decentralized training and inference, mitigating the risk of manipulation or bias in AI models.
  • With a vast amount of structured, verifiable data, it supports decentralized training and inference, mitigating the risk of manipulation or bias in AI models.
  • With a vast amount of structured, verifiable data, it supports decentralized training and inference, mitigating the risk of manipulation or bias in AI models.
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Microsoft AI’s design head wants her team to be AI-native by the end of the fiscal year
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