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Google map test Gemini "personal intelligence" integration, deeply interconnecting Gmail and photo album ecology for the latest beta version of Google map (v26
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Source: Telegram AI频道
Google map tests Gemini "personal intelligence" integration, deeply interconnecting Gmail and photo album ecology. The code disassembly of the latest beta version of Google map (v26.30.00) shows that Google is planning to integrate "personal intelligence" (Personal Intelligence) based on Gemini technology. Intelligence) framework is deeply integrated into the Google map. This cross-application function will allow Google Maps to access the Google Workspace ecosystem and personal data assets that users have connected to, breaking the previous data silos between applications and achieving seamless collaboration between travel planning and personal information. As a key extension of the Google personal intelligence ecosystem, Google maps are expected to call these cross-application contexts mainly through the conversational discovery tool "Ask Maps" in the future. The system can directly extract information such as flight itineraries, hotel check-ins, and restaurant reservations from Gmail and Workspace to automatically build contextualized routes; it can also cross-reference geotagged historical photos in Google Photos to help users revisit places they have visited, and provide customized destination recommendations based on search history and YouTube viewing preferences. At present, two physical switches, "Connect Content Application" and "Personalization", have appeared in the account settings of this beta version, indicating that the front-end interactive control has entered the substantial construction stage. This action marks that the AI assistant is moving from a single in-application interaction to cross-end and cross-scenario context awareness. With the gradual improvement of general large-model infrastructure, building Personal Intelligence into a unified service center spanning mail, photo albums, calendars and maps is becoming an important trend in AI's reconstruction of software and hardware ecological experience. via AI News (author: AI Base)