Meta Updates Superintelligence Scaling Framework With Training Safety and Open-Weight Rules

Meta published updates to its Superintelligence Scaling Framework, extending loss-of-control requirements to cover AI containment during training and evaluation. Before any reinforcement learning run, Meta will check whether a model could compromise its environment and require sandboxed, logged, and monitored mitigations if so. The update also clarifies how open-weight models can be modified after release and adds a new Board of Directors AI committee to review future Framework changes.