According to Bankless, the challenge of achieving fully homomorphic encryption at a frontier scale remains years away. However, the threshold for achieving "good enough" solutions in private AI may have decreased. The development suggests potential advancements in making AI more private and secure, possibly through the use of smaller models. This could have implications for various sectors where data privacy is paramount.

According to Bankless, the challenge of achieving fully homomorphic encryption at a frontier scale remains years away. However, the threshold for achieving "good enough" solutions in private AI may have decreased. The development suggests potential advancements in making AI more private and secure, possibly through the use of smaller models. This could have implications for various sectors where data privacy is paramount.