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Google Gemini launches "memory" function: AI assistant understands you better

Author: LoRA Time: 23 Dec 2024 974

Google's AI chatbot Gemini recently launched an important update - the "memory" function, which allows the AI ​​assistant to remember the user's life information, work content and personal preferences, thereby providing a more personalized service experience.

This new feature is currently only available to users who subscribe to the $20 per month Google One AI Premium plan, and is currently only supported on the web page and has not yet been launched on iOS and Android applications. It’s worth noting that currently only English input is supported.

Specifically, Gemini’s memory function can help users realize a variety of practical scenarios. For example, after a user tells Gemini what food they like, the next time they ask for restaurant recommendations, AI can provide more targeted suggestions based on the user's taste preferences. Google also shows other practical examples in the interface, such as "use simple language and avoid jargon", "I only know JavaScript programming" and "include daily expenses when planning travel".

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Google emphasizes that users can turn off the memory function at any time, but the stored memory content needs to be manually deleted before it disappears. More importantly, a Google spokesperson made it clear that this memory information will not be used for model training, nor will it be shared with others.

However, the safety of this type of memory function deserves concern. Earlier this year, a security researcher discovered that hackers could plant "fake" memories in ChatGPT to continue stealing user data. This discovery reminds us that the memory function of AI systems requires stricter safety protection measures.

The launch of this feature reflects the trend of AI assistants becoming more personalized and intelligent, but it also triggers thinking about user privacy protection and data security. How to ensure user data security while providing convenience will be an important issue that AI service providers need to continue to pay attention to.

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