To show the power of GL1F decentralized AI on-chain, we trained the ML model in the browser and deployed it as an NFT on GenesisL1 — a Bitcoin 24h volatility forecaster, R² ≈ 57%, quant-fund-grade — wrapped in a one-click reference dApp where the EVM is the entire AI backend.
Serverless. Permissionless. Deterministic. Free.
#Ai #MachineLearning #blockchain #cryptocurrency #Web3 #Dapps #NFT #ScienceForFuture #GenesisL1
Click the crystal ball 🔮 → it scries Bitcoin's next-24h volatility from a gradient-boosted AI forest living entirely on-chain.
The whole inference loop runs in your browser, querying the blockchain directly:
1. fetch 550× 1h BTCUSDT perp klines 200 funding events from Binance.
2. compute 53 features in JS - Parkinson / Garman-Klass / Rogers-Satchell realized vol, regime percentiles, bipower-variation jump ratios, semivariance ratios, taker imbalance, calendar effects - bit-identical to the GL1F ML training pipeline (parity-tested, worst error 5e-7).
3. quantize: round(x · scaleQ) at scaleQ = 1e6, packed as little-endian int32 → exactly 212 bytes for 53 features.
4. eth_call ForestRuntime.predictView(bytes32 modelId, bytes packedFeaturesQ) on GenesisL1 (chain 29) - pure read, no signing, no gas, no MetaMask.
5. int256 scoreQ → divide by scaleQ → log(σ_next_24h / σ_current_24h)
6. translate to predicted annualized vol, regime word, 7-day 1σ cone
The deterministic on-chain AI evaluator means every caller of the same modelId with the same features gets bit-exact identical output. Pure integer arithmetic in Solidity (whitepaper §4.5).
No oracles. No off-chain workers. No trust assumptions. The GenesisL1 blockchain is the inference server.
Phases scramble through mystical glyphs Jumanji-style as real work runs behind them:
✦ ASKING THE SPIRITS → registry round-trip
✦ GATHERING CANDLES → Binance REST
✦ FORGING FEATURES → 53-dim local compute
✦ CONSULTING THE FOREST → predictView eth_call
Then the predicted vol locks into the orb, letter by letter, with the regime — STILLNESS / STIRRING / TURBULENCE / TEMPEST - burning beneath the glass.
Built with ethers v6 in 1500 lines of single-file HTML. ABIs verbatim from
gl1f.com. Forest AI evaluator MIT. Source on the URL.
If your ML model can be a JSON, it can be an NFT.
Click the ball.
🔮 DAPP
gl1f.com/dapps/btcvolball.ht…
🎩 MODEL NFT #5
gl1f.com/model.html?tokenId=…