VRAXION

Diamond Code: Swarm Intelligence Architecture

Architecture

• SwarmByteRingModel: N autonomous beings sharing a ring memory bus
• Receptive fields: Each being reads K=8 bits via random binary masks
• Same-slot writeback: Beings predict only the bits they observe
• Ring coordination: Shared memory enables cross-bit information flow
• Variable computation depth: Ring persists across ticks -- thinking in TIME, not SPACE

Key Discovery: sqrt(N) Scaling Law

• Optimal connectivity per node is K = N^(1/2) (TOT-H008)
• Appears universally in Random Forests (Breiman), small-world graphs (Watts-Strogatz), compressed sensing (Candes-Tao)
• For K=8 (byte per being), optimal total input N = K^2 = 64 bits (8 bytes)

Results

| Experiment | bit_acc | bit_oracle | ensemble_benefit | specialization | |---|---|---|---|---| | RF4 (N=8, 10 beings, 4700 steps) | 57% -> 82% | 97.9% | +0.26 | climbing | | N=64 (16 beings, 6050 steps) | 63% | 99.1% | 0.0 | 0.0 (plateaued) |

Bug Fixes

• Jump gate init bias: nn.init.constant_(bias, 0.5) prevents dead beings from random initialization
• Max coverage balancing: Drain loop ensures uniform bit coverage (max-min <= 1)
• Bit 62/63 freebie: Full 64-bit value range (removed spurious cap)

Infrastructure

• Dynamic dashboard: heatmap visualization for N>16 bits, line chart for N<=16
• 64-bit log parser regex patterns
• CPU thread optimization (90% utilization)
• 14 experimental training scripts (Mobius helix, multi-hop, byte autoencoder, evolutionary search)

New Hypotheses

• TOT-H008: sqrt(N) scaling law -- optimal receptive field K = N^(1/2) (Supported E2)
• TOT-H009: Ring memory as shared coordination bus (Supported E1)

Open Questions

• Jump gate bimodal collapse (12 HIGH, 4 LOW, 0 routing) -- needs temperature scheduling
• Specialization failure at N=64 vs success at N=8
• Combiner bottleneck (bit_oracle 99% >> bit_acc 63%)

Wiki: https://github.com/VRAXION/VRAXION/wiki/Diamond-Code---Swarm-Intelligence-Sprint-(2026-02-11)