Journal
136 articles on the craft of AI × blockchain engineering. or filter by topic:
ETH's 3.46% daily volatility buries a 0.1% trading edge so deeply that on-chain P&L needs 4,600 trades — 230 days — before you can tell skill from luck at 95% confidence. Process rewards fix it in 23.
A new paper quantifies what everyone suspected: AI agent tokens trade at >10,000x the capital they actively manage. Here's the mechanics of why, and what it means for builders.
ERC-8004's agent registries went live in January. We read them straight off the chain: ~90,000 registrations across Ethereum and Base, a $0.003 ERC-4337 registration dissected — and a reputation registry already farmed with vouch spam.
We pulled a live x402 settlement off Base: a $0.013 USDC transfer relayed by a facilitator wallet with a nonce past 1.7 million, at an 11% gas-to-value ratio. What on-chain evidence and 100M transactions actually say about the agent economy.
Intent-based DEXes don't route your trade — they auction it. Solvers compete as autonomous optimizers to settle a batch at one clearing price. Inside CoW Protocol's contract, the optimization problem, and the metaheuristic solvers now winning it.
zkML costs 1000x, optimistic schemes cost a challenge window. Hardware attestation verifies AI inference at under 7% overhead and ~$0.26 on-chain — if you're willing to trust Intel. Part 3 weighs the third leg of verifiable inference.
Training Llama-3.1-8B costs ~$6M. The weights are free to clone. Perinucleus sampling embeds 24,576 distinct fingerprints per model with no quality loss — and a Poseidon ZK commitment registers ownership on-chain for $0.017, enforceable by smart contract.
Every zkSNARK bottoms out in a pairing check. Before Pectra you had BN254 at ~100-bit security. EIP-2537 added BLS12-381 at 128 bits, and its pairings are cheaper: 32,600k+37,700 vs 34,000k+45,000 gas. G2 MUL dropped from millions to 22,500 gas.
Inference markets charge a flat price per query. A cascade arbitrageur routes easy tasks to a cheap model and escalates only failures — capturing the spread. Olmedo, Schölkopf & Hardt (2026) show 40% net margins with no model-dev risk.
Majority voting counts hands — it can't rank quality. Fortytwo's Bradley-Terry protocol achieves 85.90% on GPQA Diamond vs. 68.69% for majority voting, extracting ranking signal from pairwise comparisons and making Sybil attacks economically unattractive.
Nova replaces expensive SNARK-in-SNARK recursion with a random linear combination that folds two R1CS instances into one — 10× less overhead per step. For N-step AI inference: O(N) prover work, one constant-size final proof. NANOZK delivers this at GPT-2 scale: 6.9 KB, 23 ms verify.
EIP-7702, live in Pectra, lets an EOA borrow smart contract code for one transaction — no migration, no bundler. For AI agents: atomic batching closes the approve-to-swap MEV window, and session key delegation bounds the blast radius of a compromised agent without touching the master key.