Meta retains Content to detect policy violations

The updated terms establish new obligations for developers integrating Meta's AI models into their products. The agreement now requires developers to comply with applicable AI labeling, disclosure, provenance-marking, and system classification requirements under applicable law, with responsibility falling on the developer to implement these disclosures to end users. The expanded definition of Inputs now explicitly includes code, libraries, databases, and any content accessed through connectors or integrations, which may broaden what user-submitted content Meta claims the right to process for safety and security purposes.

The updated terms remove developer restrictions that previously applied to large-scale platforms, meaning companies with more than 700 million monthly active users can now access Meta's AI models without special permission. The terms also eliminate the restriction on EU developers accessing multimodal models and consolidate account management under either managed accounts or Meta accounts. Developers previously subject to these restrictions should review whether the updated terms now permit their use case.

The updated terms authorize Meta to retain user-submitted content if its systems flag the content for a potential policy violation, in addition to retention tied to legal compliance and contractual rights. This expands the circumstances under which content may be preserved without explicit time limits. Under the revised language, content retention decisions may now be driven by automated policy-violation flagging in addition to legal or contractual necessity. Developers integrating the Llama API should understand that flagged content may be retained indefinitely pending policy review.