Unverified50% confidenceFactExact time
Wake-word listening usually uses a small local model for initial screening first, and after a hit, processes it in the cloud, in order to balance privacy and power consumption.
1
Sources
50%
Confidence
Long-term
Relevance
10/14/2026
First Seen
Sources
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Related Claims
VerifiedA common hybrid deployment practice is to keep sensitive data processing and final decision-making on local models while routing privacy-agnostic subtasks to cloud models.79% similarUnverifiedLocal models are generally less capable than large cloud-based models, requiring users to make trade-offs between privacy protection and model performance.77% similarUnverifiedRegular users are advised to prioritize the local model and only enable cloud-based calibration when dealing with content dense in professional terminology.75% similar
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