According to a report by Bankless, smaller AI models may offer a solution to the private AI problem. The report suggests that fully homomorphic encryption, a technology that would allow computations on encrypted data, is still years away from being scalable. However, the requirements for achieving "good enough" privacy in AI have been reduced, potentially making smaller models a viable alternative. The development could have implications for data privacy and security in artificial intelligence applications.

According to a report by Bankless, smaller AI models may offer a solution to the private AI problem. The report suggests that fully homomorphic encryption, a technology that would allow computations on encrypted data, is still years away from being scalable. However, the requirements for achieving "good enough" privacy in AI have been reduced, potentially making smaller models a viable alternative. The development could have implications for data privacy and security in artificial intelligence applications.