The memory layer. Stores the FCL validation archive, routing event history, and the permanent record of everything the brain has learned. What survives here shapes how the whole system routes next time.

The security layer. Every output clears here before it exits. Threat detection, adversarial pattern recognition, red-team archive, and the Go/No-Go authority that can halt the entire system. Nothing bypasses it.

The refinement layer. Precision after clearance. Every output passes through here for LAV gate validation, density calibration, and roughness preservation — the layer that makes the output worthy of the input.

The presentation layer. Structure, format, and register conversion. The last layer before output — deciding how the brain speaks, not just what it says. Prose or list. Dense or clear. Report or reply.

The corpus callosum. Bridges left and right hemispheres, holds the master manifest of the entire architecture, and serves as the single external communication channel — the CAPCOM of the AION brain.

Predict large language model inference with memory prefetching and speculative decoding for faster reasoning on low VRAM hardware

Experimental meta-reinforcement learning framework exploring State Space Model (SSM) policies, test-time adaptation, and structured benchmarking.

🧠 An Autonomous Neural Operating System in a single Python file. Features GGUF inference, System 2 (MCTS) reasoning, Dynamic LoRA, and Graph Memory.