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Google plans AI memory that even Google cannot read
Google is developing 'Private AI Compute' memory to let AI assistants access cross-device context without the company being able to decrypt the data.
What: The system keeps data encrypted in the cloud with keys stored exclusively on user devices, using secure enclaves to decrypt context only during specific request processing.
Why it matters: This indicates a shift toward 'zero-knowledge' AI architectures to mitigate user privacy concerns regarding long-term model memory.
Decoder
- Secure enclave: A dedicated, isolated hardware component in a processor that ensures sensitive data remains encrypted and inaccessible even to the main operating system.
Original article
Google says its planned Private AI Compute memory would let assistants recall context across devices without Google being able to read it. Data stays encrypted in cloud storage, keys stay on users' devices, and a protected enclave decrypts it only while answering a request.
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