Wearable AI as a Distributed Personal Computing System Glasses, body attachments, miniature compute modules, and future implantable AI architectures

This proposal develops a wearable AI system as a heterogeneous network of sensing, inference,memory, and interaction devices. Its central software abstraction is a signed, resource-boundedAI capsule containing a compact language model, explicit tools, evidence memory, schedulingrules, and an independently enforced action contract. A phone or pocket computer supplies theinitial reasoning core; glasses and body attachments supply low-power interfaces. ImplantableAI is developed as a future architecture spanning distributed sensing nodes, integrated learneddecoders, and a conditional path to an implanted semantic core. Compression beyond quantizationand pruning is analyzed at the level of task quality and complete-system resources. Themathematical design combines partially observed decision processes, constrained task placement,event-triggered sensing, memory and bandwidth bounds, thermal dynamics, selective prediction,and compositional execution contracts. Three noninvasive prototypes and an implant-equivalentlaboratory demonstrator are specified, together with a numbered pseudocode execution loop. Theaccompanying calculations reproduce illustrative battery, memory, compression, radio, thermal,implant energy, and statistical examples. No hardware was built or benchmarked for this report.Published results, manufacturer specifications, analytical examples, and proposed acceptancecriteria are distinguished throughout.