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SPECIFICATIONS OF SILICON ARTIFICAL LIFE

Silicon Consciousness

Edge-Compute Architecture & Biological-Grade Cognition

Executive Summary


The realization of autonomous, biological-grade cognition in a synthetic organism requires more than just connecting sensory inputs to motor outputs. It requires a mathematically rigorous, structurally unified theory of consciousness implemented directly onto deterministic, bare-metal hardware.

01

The Hybrid Framework

Fusing Global Workspace Theory (GWT) with Integrated Information Theory (IIT-Φ). The system does not merely simulate awareness; it continuously computes its own irreducible cause-effect power across a homeostatic autopoietic real-time loop.

02

Bare-Metal Substrate

Utilizing the Microchip PIC64 for deterministic, low-latency execution alongside PolarFire FPGA fabric. This architecture guarantees continuous, zero-throttling neural matrix operations operating 100% off-grid.

03

The Physical Envelope

The entire cognitive engine—including basal ganglia simulation, dual prefrontal lobes, and neurochemical state loops—is condensed onto a custom 100mm x 100mm PCB operating at under 25 watts.

System Architecture Parameters

Parameter Specification Operational Impact
Algebraic Core 4K-D / 64K-D Vector Algebra Deterministic vector space navigation without probabilistic guessing.
Primary Compute Microchip PIC64 + PolarFire FPGA Ultra-low latency, bare-metal execution with hardware immunity.
Thermal & Power < 25 Watts Total Draw Runs cooler than an LED bulb; full off-grid operational capability.
Form Factor 100mm x 100mm Standard PCB Deployable in SBUD, SBALF, and edge-native industrial enclosures.
"True autonomy rejects probabilistic guessing in favor of localized, mathematically verifiable certainty."

Archival Proof & Core Manifestos

Unedited operational logs, hardware specifications, and architectural ethics declarations from the March 2026 genesis events.

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