Liquid AI's COO outlines on-device personal AI built around device-level context
Overview
Liquid AI COO Jeffrey Li says the company is building personal AI to run on devices such as phones, wearables, PCs and cars rather than only in the cloud.
Its Liquid Context layer, optimized for Snapdragon processors, sits between models, agents and hardware, and its agent harness uses the company's own models to decide which user context to retain and how to compress it within fixed compute limits. Li says the company is building observability and continuous improvement loops intended to improve both the model and the harness through natural usage. Liquid AI is also collaborating with Mercedes-Benz Group to bring on-device AI to its cars. These are company plans and statements; the reporting does not show the loops' results.
AIWritten by AI from the articles below · overview updated Oct 8, 7:47 PM ET
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- SiliconANGLE · AILiquid AI Builds On-Device Personal AI Around Device-Level Context
Liquid AI is building personal AI that runs on devices such as phones, wearables, PCs, and cars, using its Liquid Context layer, which is optimized for Snapdragon processors, to sit between models, agents, and hardware. The company's agent harness uses its own models to decide which user context to retain and how to compress it within fixed compute limits. Liquid AI is also collaborating with Mercedes-Benz Group AG to bring on-device AI to its cars and plans observability and continuous improvement loops for self-improving agents.
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