Developer Builds AICore, a Rust-Based Adaptive Resource Control Layer for PCs

A developer has created AICore, an experimental computer control layer written primarily in Rust that runs on both Windows and Linux. The project sits between applications and operating-system hardware interfaces, continuously observing workloads and adapting system resources such as CPU, GPU, NPU, and power states accordingly. Unlike static performance modes, AICore follows a cycle of observing, predicting, deciding, executing, and learning from system telemetry and workload context. A key design principle is that any AI inference component can only propose resource policies, not enforce them — deterministic controls remain active if an AI model is unavailable. The system also separates slow AI reasoning from a fast control path to prevent stale or outdated decisions from being applied to rapidly changing system states.