Channel Inference Engine

Research Milestones & Roadmap

This document records the strategic order of operations and future research horizons for the Channel Inference Engine.


1. Completed Foundational Milestones

  • Pure Q4_0 Linear Projection GPU Pipeline: Fused QKV and SwiGLU shaders with workgroup tiling on Vulkan 1.3 compute.
  • On-Device Top-64 Argmax Reduction & Softcapping: Replaced 1MB CPU transfers with GPU-side reduction, lifting decode speed to $\ge 24\text{ tok/s}$.
  • Unified 4,096-Slot Physical KV Ring Buffer: Fixed per-layer geometry with Tier 1 anchors, sliding FIFO ring, and dedicated Tier 3 recall space.
  • Hippocampal Episodic Memory Subsystem: Zero-copy UMA readbacks (OP_MEM_COMMIT), 2D Givens RoPE delta rotation, and sub-millisecond centroid scanning.
  • Continuous Streaming Transduction & Elastic Yielding: Addressable 512-byte block pull-streams and syntactic unit pauses (STOP_ELASTIC_YIELD).
  • Causal In-Flight Barge-In & Interrupt Controller: Server-side turn_open tracking, turn envelope recovery, and LIFO interrupt queueing.
  • Zero-Copy Working State Snapshots: Compacted active-slot binary checkpointing with detached 1MB buffered background I/O.
  • Autonomic Reflex Plane (OP_PROBE_AUTONOMIC): Discrete 1-token logit probes (~1.5ms) with Shannon entropy/confidence gating, Thinking Gate, and $O(1)$ clock rollback.
  • Unix-Style VFS & Subshell / Terminal Management: Bounded 512-char slices, async detached cmd subshells, and persistent trm PTY sessions.
  • Responsive 3-Panel TUI Reference Implementation: Tiered layout adaptation, abstract Markdown control, and zero-markup controller architecture.

2. Active Research Horizons

A. Autonomous Agent Capabilities

  • Implement hierarchical agent task planning and decomposition on top of the A-FSM.
  • Deepen multi-channel sensory arbitration across simultaneous terminals, background processes, and conversation.
  • Develop autonomous self-healing and code editing loops powered by sub-millisecond probe reflexes.

B. Streaming, Quiescence & Memory Scaling

  • Large Repository Ingestion Benchmark: Stream massive multi-file codebases into Channel and evaluate synthesis speed and memory stability.
  • Quiescence Magnitude Sweeps: Benchmark throughput and reasoning quality across varying quiescence thresholds ($\tau = 0.001 \dots 0.35$).
  • Multi-Hop Retrospective Associative Recall: Test multi-hop associative queries across deep historical episode archives.

C. Real-Time Online Plasticity (Synaptic Adaptation)

  • Track recurrent memory activation diffs ($\sum \text{Working Memory Tax} > \text{Plasticity Risk Tax}$).
  • Implement fast online micro-LoRA / Hebbian weight updates ($\Delta W$) directly into MLP projection matrices.
  • Verify permanent retention of consolidated facts with zero active context consumption.

D. Audio Streaming & Real-Time Multimodal Synthesis

  • Stream raw audio PCM frames into Layer 0 via OP_STREAM_INPUT.
  • Integrate lightweight real-time speech synthesis (TTS) for full-duplex verbal communication.