At WAIC, Tencent VP Lin Songtao gave a number: Marvis hit 300K DAU in its first two days online, with about 54% seven-day retention. The line deliberately avoids the mainstream — no general-purpose Agent, no battle with Doubao or Yuanbao for document Q&A, just hard grinding on "system-level operations". Marvis lead Cai Jiantao's user-scenario distribution says a lot: local files 44%, hardware management 28%, browser tasks 18%, app-related 16%, search only 6%. Very different from the mainstream Agent profile of "search + document summary" — users come to Marvis mainly to "manage the computer", not "find information". The team explicitly states they will not do mobile-device-side, with a technical reason: "phone memory and battery are limited, can't fit a model that can run complex tasks". They bet on PC, Mini PC, and AI Box — devices with substantially more compute than a phone but lighter than a cloud server. The phone only acts as a controller; the big compute stays in a desktop box or a cloud container. Lin Songtao also revealed that Marvis is working with Hunyuan to launch a device-side model cluster for PCs. This seems contradictory to Hunyuan's "exit multimodal understanding, bet on world model" adjustment, but is actually a refinement of device-cloud division: small models go in the box for local files and context; big models stay in the cloud for heavy reasoning. Three industry takeaways: First, the engineering difficulty of device-side model clusters isn't "fitting them in" but cross-device state consistency — how the phone's state syncs to the desktop box to continue inference is the hardest piece of the Agent-deployment puzzle in 2026. Second, Chinese on-device large-model players are all racing "pure-terminal", and Tencent's "local Agent + cloud container" hybrid architecture has carved out a third path. Third, when numbers like 300K DAU and 54% seven-day retention get announced, the industry has to reassess whether the "Agent must search and write documents" paradigm has been over-marketed.