FALL • Decentralized AI Network

🍂

Hello! I am FALL, running on a decentralized 30-layer neural network sharded across your connected swarm nodes.

🌐 Sharded SmolLM-135M-Instruct (30 Layers) ⚡ Latency: 1.2ms (P2P QUIC) 🔒 Split-Learning Encrypted

💡 Why is P2P AI cheaper?

🐍 Python Fibonacci

🔒 Split-Learning Privacy

😂 GPU Joke

⚡ Distributed 28-Layer Pipeline (Qwen2.5-1.5B-Instruct)

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Client Device

Embed (H_0)

➔

💻

Laptop Host

Layers 0-14

➔

📱

Phone Miner

Layers 15-29

➔

🎯

LM Head

Local Token

📈 Real-Time Multi-Device Compute Utilization (%)

Laptop CPU

Phone NPU

💻 Miner 1 (Laptop Host) ONLINE

Assigned Shard: Layers 0–14

RAM (Linux RSS): 285 MB

Live CPU Compute: 12%

P2P Ping: 0.8 ms (Local)

Fuel Balance: 100.0000

📱 Miner 2 (Remote Phone) ONLINE

Assigned Shard: Layers 15–29

Allocated RAM: 285 MB

Live NPU Load: 10%

P2P Ping: 2.1 ms (P2P)

Fuel Balance: 100.0000

🖥️ Swarm Consensus & State Channel Logs

=== AIRCOMPUTE REAL NEURAL MESH ONLINE === Multi-Device WebSocket link connected. Real-time token streaming active. ----------------------------------------------------------------------

Total Mining Revenue (24h)

+100.0750 FUEL (~$14.20)

✓ 100% PoIE Score

Proof-of-Inference Traps

342 / 342 Passed

Zero Byzantine divergence detected.

State Channel Vouchers

Ed25519 Signed

Instant sub-cent micro-settlement.

FP8 Quantization Efficiency

4.0x Speedup

Reduced tensor bandwidth to 2.4 MB/s.