According to a report by Bankless, smaller models may offer a solution to private AI challenges. The report suggests that while fully homomorphic encryption at a frontier scale is still years away, 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 manageable model sizes to overcome encryption hurdles. This could have implications for the broader AI landscape, particularly in sectors where data privacy is paramount.

According to a report by Bankless, smaller models may offer a solution to private AI challenges. The report suggests that while fully homomorphic encryption at a frontier scale is still years away, 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 manageable model sizes to overcome encryption hurdles. This could have implications for the broader AI landscape, particularly in sectors where data privacy is paramount.