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Openpcc: An open-source framework for provably private AI inference (open source implementation of Apple’s Private Compute Cloud)
OpenPCC is an open-source framework for provably private AI inference, inspired by Apple’s Private Cloud Compute but fully open, auditable, and deployable on your own infrastructure. It allows anyone to run open or custom AI models without exposing prompts, outputs, or logs - enforcing privacy with encrypted streaming, hardware attestation, and unlinkable requests.
OpenPCC is designed to become a transparent, community-governed standard for AI data privacy.
Read the OpenPCC Whitepaper: openpcc/whitepaper/openpcc.pdf at main · openpcc/openpcc · GitHub
Read in full here:
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No chair. I have a standing desk.
This post was split into a dedicated thread from our thread about chairs :slight_smile:
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Check out all of our Keycaps threads here:
https://forum....
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Author Spotlight
Mike Riley
@mriley
This month, we turn the spotlight on Mike Riley, author of Portable Python Projects. Mike’s book ...
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Quickly turn complex problems into simple, working solutions using functional programming, safe concurrency, and the expressive tools of ...
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