a16z says participants argue that earlier technologies built safety standards by learning how they actually failed. The discussion also examines agents that don't get tired, operate at enormous scale and probe systems in ways employees cannot—capabilities that may require rethinking permissions, authentication and the security stack. It closes on why AI innovation may increasingly happen outside frontier labs, in software built around the models.