Show notes
In this episode, we take a deep dive into OpenPCC, an open-source framework designed to make private, compliant AI inference possible without forcing organizations to hand sensitive data over to opaque cloud vendors. Starting with the idea that corporate data should be treated less like fuel and more like hazardous material, we explore why standard AI workflows create such serious privacy and compliance risks, and how OpenPCC offers a fundamentally different model built on verifiable privacy rather than trust.
Along the way, we unpack the core mechanics behind the system, from hardware…
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