The a16z Show · Friday, July 31, 2026
Jesse Zheng highlights that enterprises need to be prepared for continuous retraining of AI models because the field is constantly evolving. As new capabilities emerge in frontier models, new use cases arise, necessitating the constant development and deprecation of internal models to stay competitive.
“The other reason I think it makes a lot of sense for enterprises to kind of build their cool underlabs is that the shape of these models is changing constantly.”
“You often need to train new models all the time. Because as the frontier changes, as the capabilities of the models changes, you come up with new use cases for them.”
“So we find ourselves constantly training new models and deprecating old ones that are no longer relevant because maybe the frontier has advanced a lot.”