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Google Cloud announces a unified Gemini agent for enterprise work that can autonomously execute tasks across apps and devices Feature update
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TLDRocket
8 October 2026
AI’s biggest throughline today is the push to make agents work where people actually live and act: on-device, inside constrained environments, with tighter cost and accountability. Liquid AI says it’s building personal AI systems that run on the user’s hardware using device-level context rather than borrowing elastic cloud capacity, and it’s optimized for Snapdragon processors. Its Liquid Context aims to be compressed, retained, and continuously improved over time through agent software plus “observability loops” that track what the system knows and how it changes. The pitch isn’t just privacy theater; it’s practicality, with Mercedes-Benz cars explicitly in the plan.
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