Meta has recently enhanced its AI assistant by introducing an upgraded “memory” feature designed to improve user experience. This new functionality allows the chatbot to retain specific information you provide during direct chats, utilizing your previous interactions on Facebook and Instagram to offer tailored suggestions.
This update will initially roll out in the United States and Canada, enabling Meta AI to monitor your preferences based on shared details during conversations. For instance, if you disclose any dietary restrictions or food allergies, Meta AI will adjust its recipe recommendations accordingly.
Beyond just dietary preferences, the assistant can also remember other personal insights about your life and relationships. Users will have the ability to review which memories Meta AI holds about them and can choose to delete particular pieces of information. Importantly, this version of Meta AI can also leverage your behavior across platforms like Facebook and Instagram for more insightful engagements.
Image Credit: Meta
For example, if you’ve indicated certain locations in your Facebook profile or frequently watched specific Reels, Meta AI could suggest local activities for the weekend tailored just for you. Given how much data these systems collect about their users, such recommendations could be impressively accurate—comparable in precision to Facebook’s targeted advertising methods.
When asked about what specific types of engagement on Facebook and Instagram contribute towards these personalized suggestions, a representative from Meta referred users to their Help Center. The guidance states that personal details like age and gender along with user interests inferred from content interactions—including ads seen or engaged with—will help customize each session with the assistant effectively.
The Competitive Landscape
This latest development by Meta comes at a time when interest is surging around DeepSeek—a competing AI assistant from China that has swiftly ascended as one of Apple’s most downloaded apps. Developed at a fraction of traditional costs (less than $6 million), this rapid rise in prominence has stirred concerns among investors within the tech sphere. Nevertheless, Yann Le Cun—the Chief Scientist for AI at Meta—characterized market reactions towards DeepSeek as “grossly exaggerated” during a recent statement?
