According to a report by Bankless, smaller models may provide a solution to the private AI problem. The report suggests that while fully homomorphic encryption is still years away from reaching frontier scale, the requirements for achieving "good enough" privacy have been reduced. The development indicates a potential shift in the approach to private AI, focusing on more accessible and efficient models. This could have implications for various sectors seeking to implement AI while maintaining data privacy.

According to a report by Bankless, smaller models may provide a solution to the private AI problem. The report suggests that while fully homomorphic encryption is still years away from reaching frontier scale, the requirements for achieving "good enough" privacy have been reduced. The development indicates a potential shift in the approach to private AI, focusing on more accessible and efficient models. This could have implications for various sectors seeking to implement AI while maintaining data privacy.