Running AI Privately

Private AI sounds simple until you try to build it. Alex walks through the challenges of creating an AI application that is completely private, end to end: keeping inference itself private by running it inside a trusted execution environment, keeping every message encrypted on the way in and out, and closing the gaps in between where your data usually leaks. If you want to use AI without handing your conversations to someone else, this is the map of what it actually takes.