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Sovereign Intelligence
for the Edge.

Own your intelligence. Build, deploy, and control AI entirely on your own infrastructure.

Your Data Your Hardware No Cloud Required
109
ARC-AGI Tasks Solved
313K
Samples/Sec Training
6
Training Modes

One Engine. Two Paths.

LOOM Open Source • Apache 2.0 PRIMECRAFT 3D Simulation R&D Free Download • Paid Styling WEAVE Business Automation Free Desktop • Paid Mobile

"Primecraft for Development. Weave for Business Automation."

109 Tasks Solved on ARC-AGI-1

CPU Only ⏱️ Under 10 min/test 🦫 Pure Go (No Python)

Ensemble Fusion v2

31
Phase 1
Clusters
+78
Phase 2
Stitching
109
Total
Solved

ARC-AGI-1

27.25% 109/400 tasks

ARC-AGI-2 (Harder)

6.7% 8/120 tasks

Loom's Power Features

  • 🔲
    Grid Architecture Data flows through a 2D grid of cells
  • 🧠
    Parallel Brains MHA, LSTM, RNN, CNN running together
  • 🌐
    13 Platform Builds One model, copy-paste anywhere — no conversion needed
    🚀 v0.0.6: Windows/Mac/Linux (x86_64 + ARM64) • Android ARM64 • iOS ARM64 • WASM
    🔮 In Development: WebGPU acceleration — GPU power on any hardware
    📦 See the Release
  • 🔍
    Live Debugging Watch every neuron fire in real-time
GRID NEURAL NETWORK PARALLEL BRAINS MHA Attention LSTM Memory RNN Sequence + RUNS EVERYWHERE Desktop Browser Mobile

Sine Wave Adaptation

Testing continuous adaptation as the target function shifts frequency every 2.5 seconds.

📄 View Source Code
⏱️ Duration: 10s 🌊 Sin(1x)→Sin(2x)→Sin(3x)→Sin(4x) Score = (Tput × Stability × Consistency) / 100k
💎 Effective Value Over Time (Throughput × Accuracy)
This is WHY balance matters — High throughput with low accuracy = worthless. StepTweenChain maintains BOTH.
Mode Accuracy Stability Consistency Throughput Score
NormalBP 91.3% 87.2% 98.5% 75,568 6,493
StepBP 79.4% 86.6% 95.5% 23,611 1,954
Tween 47.4% 82.4% 51.0% 170,699 7,170
TweenChain 60.4% 84.5% 87.5% 171,861 12,709
StepTween 54.3% 74.8% 64.5% 313,465 15,120
StepTweenChain 🏆 55.4% 84.9% 71.0% 312,736 18,841

Six Training Modes

Choose based on your use case. See benchmark comparison above.

BP 91% acc • 75K/s

NormalBP Score: 6,493

Batch backprop. PAUSES to train. Maximum accuracy.

  • Model pre-training
  • Benchmark competitions
  • Offline dataset training
∇ gradient per sample 79% acc • 24K/s

StepBP Score: 1,954

Per-sample gradients. Online learning.

  • Streaming data
  • Reinforcement learning
  • Low-latency updates
47% acc • 171K/s

Tween Score: 7,170

Weight interpolation toward targets.

  • Model fine-tuning
  • Transfer learning
  • Smooth weight merging
60% acc • 172K/s

TweenChain Score: 12,709

Layered tweening with chain rule.

  • Deep network adaptation
  • Layer-wise fine-tuning
  • Gradient-aware merging
313K/s 54% acc

StepTween Score: 15,120

Hybrid step + tween. Max throughput.

  • High-frequency trading
  • Video game AI
  • Sensor stream processing
🏆 55% acc • 313K/s

StepTweenChain 🏆 Score: 18,841

Full hybrid. Best combined score.

  • Real-time robotics
  • Adaptive control systems
  • Dynamic environment agents
EARLY ACCESS • RESEARCH PREVIEW

Primecraft: The AI Gym

We built a game universe just to prove our AI works. Spawn an agent. Teach it to follow you. Then change the gravity and watch it rewrite its own brain in real-time.

Alpha v0.30.0 — Model Sharing Patch

Runtime Gallery

16 scenes captured