According to Bankless, the challenge of achieving private AI through fully homomorphic encryption may be addressed by the emergence of smaller models. The report suggests that the requirements for 'good enough' solutions have been reduced. The development indicates a potential shift in the landscape of private AI, where previously the scale of encryption needed posed a significant hurdle. This evolution could have implications for data privacy and security in various AI applications.

According to Bankless, the challenge of achieving private AI through fully homomorphic encryption may be addressed by the emergence of smaller models. The report suggests that the requirements for 'good enough' solutions have been reduced. The development indicates a potential shift in the landscape of private AI, where previously the scale of encryption needed posed a significant hurdle. This evolution could have implications for data privacy and security in various AI applications.