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Apple: flash-resident prompt-routed on-device foundation system

Contribution grade

On-device foundation-model inference systems · Human-designed research method or resource

Reference score70,000Provisional editorial estimate of this exact contribution; its grade is assessed separately.

What changed

Stored a larger sparse model in flash and selected prompt-dependent expert subsets into DRAM, combining always-active shared weights, periodic expert reselection and task-dependent active capacity for on-device multimodal inference.

Scientific scope

Stored a larger sparse model in flash and selected prompt-dependent expert subsets into DRAM, combining always-active shared weights, periodic expert reselection and task-dependent active capacity for on-device multimodal inference. IFPruning is an earlier Apple research method, not invented by this product family. Account describes family collaboration with Google but does not resolve per-method/person roles. Acquired delta is flash/DRAM prompt-routing and elasticity integration, not a model-size or privacy guarantee. September policy update is not backdated to June.

Evidence

The linked original sources describe the stated contribution and its evidence limits. WRS has not independently rerun the experiments or certified a proof. IFPruning is an earlier Apple research method, not invented by this product family. Account describes family collaboration with Google but does not resolve per-method/person roles. Acquired delta is flash/DRAM prompt-routing and elasticity integration, not a model-size or privacy guarantee. September policy update is not backdated to June.

Contributors

Provisional WRS assessment, edition 2026-10-16.1. Independent expert calibration is pending. This grade does not certify correctness or assign ownership.

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