Meta AI Memory Uses Instagram, Facebook Users’ Data to 'Remember’ Your Details
Meta Platforms is trying to perfect its intelligent assistant by adding an AI memory feature allowing it to remember details shared in 1:1 chats and harness users’ Facebook and Instagram activity for more personalized recommendations.
The new memory will initially be rolling out in the US and Canada, with the update giving Meta AI full authority to track preferences like food allergies or dietary restrictions to recommend tailored recipes.
Meta AI and Memory Feature
With the AI memory, Meta can track information through tool’s long-term memory for example like the user’s dietary preference (food allergies / restrictions) so it makes suggestions to recipes that go along with the user’s dietary preference. The Meta trained AI memory will store users’ personal details shared through the chats.
Even though this Meta AI chatbot with memory makes the user experience more personalized, Metsa has implemented controls that allow users to see and delete some memories the AI memory has kept.
Is Meta Using Instagram to Train AI Memory?
Meta is training its AI memory and LLama AI models using public user data from both Facebook and Instagram, relying on “legitimate interest” under the European Union’s (EU) General Data Protection Regulation (GDPR) to avoid explicit consent.
In the EU, it’s true that users can opt out via a form, but critics argue the process itself is opaque and fails GDPR’s fairness standards. In parallel, privacy advocates are accusing Meta of exploiting Instagram and Facebook’s usership through vague exploitation of policies to harvest data, including posts and interactions. The updated Meta AI memory can also use information on the user’s profile like the age, gender and interests to personalize recommendations.
Users can turn off Meta for Instagram and Facebook by deleting specific details and information. Therefore, the goal of Meta is to reassure its users of privacy and safety measures.
The memory update is released at a time of increased competition in the AI industry, especially with the emergence of DeepSeek, which costs around $6 million to develop, has become the top on the Apple App Store, shaking the AI market and collecting investors.
The release of the Meta feature marks a huge step forward for Meta’s AI assistant. The feature is still in its early development stages, the ability is having to leverage the experience on Facebook and Instagram could set a new precedent for AI-driven recommendations.
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