Google Gemini's "personal intelligence" release: consolidate "family bucket" applications to make AI more aware of you

On January 15th, local time 14thGoogleIt was announced that a new feature called “personal intelligence” had been opened for testing in personal accounts. This function canIntegration of Gmail, Google Album, etc, help Gemini Understanding context relationships without clear guidance allows chat robots to cross-apply to understand user data, thus providing a more personal response。

Google Gemini's "personal intelligence" release: consolidate "family bucket" applications to make AI more aware of you

Google Labs and Gemini's application vice president Josh Woodward said that Gemini was capable ofSelf-establishment of links between different elementsWhether in e-mail conversations, videos viewed by users or details in the photo library。

According to CNBC in the United States, Google is competing positively with producers like OpenAI, against the background of growing competition in generated AI. Google points out that Gemini 3 has been upgraded from a simple call for application data to being able toCross-data for reasoningmergeActive insight to users.

This function will lead to the U.S Google AI Pro and AI Ultra subscriberOpen and will followAdd "AI Mode" in Google SearchI DON'T KNOW. 1AI UNDERSTANDS THAT “PERSONAL INTELLIGENCE” IS BY DEFAULT CLOSED TO REDUCE RISK。

Woodward's also warning, test versionThere may still be a misjudgementAnd it is hoped that users will proactively provide feedback. Gemini may still find it difficult to grasp the timing and context when it comes to changing relationships or complex interests。

In sensitive areas such as health, Woodward indicated that Gemini would not take the initiative to extrapolate, but rather to discuss it on the basis of data if the user asked the question clearly。

Woodward also emphasized GoogleNo user 's Gmail content or photo library is directly used to train models, only part of the interactive information, such as user input tips and model responses, will be used to gradually optimize functional performance。

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