We believe glasses are the best form factor for having AI help throughout your day. They can understand your personal context better than other kinds of devices and keep you present without picking up a mobile phone. 

Most of the time, glasses are helping you see well, protecting your eyes and complementing your look, and that’s it. But AI glasses have the capacity to provide superpowers like translating a conversation or summarizing notes or a conversation. 

Many directions people give their glasses today, like placing a call or answering a text hands-free, occur entirely on device, though more advanced features would require larger, more capable AI models – far larger than can be packed into a pair of glasses. 

And compute is only half the problem. For an AI assistant to be truly useful in everyday life, it must also be stateful and deeply personal — understanding your context, connecting ideas across days or weeks, and working proactively in the background to get things done for you. 

Taken together, these demands mean the work has to happen in the cloud. AI glasses present a challenge that traditional cloud architectures were never built to solve: How do you build a hyper-personalized AI that knows your world deeply with enhanced privacy?

Our answer is Private Processing, Meta’s confidential computing infrastructure for AI workloads. It extends the trust boundary of AI glasses directly into cloud data centers, executing AI models inside confidential virtual machines (CVMs) such that even Meta cannot access your data.

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