According to Bankless, the challenge of private AI may be addressed through smaller models. The report suggests that while fully homomorphic encryption for large-scale applications remains distant, the requirements for achieving sufficient privacy have been reduced. The development indicates a potential shift in focus toward more manageable models to overcome encryption obstacles in the field of private artificial intelligence.

According to Bankless, the challenge of private AI may be addressed through smaller models. The report suggests that while fully homomorphic encryption for large-scale applications remains distant, the requirements for achieving sufficient privacy have been reduced. The development indicates a potential shift in focus toward more manageable models to overcome encryption obstacles in the field of private artificial intelligence.