Journal
19 articles on the craft of AI × blockchain engineering. or filter by topic:
The Elliptic benchmark made GNNs the default for on-chain AML. A 2026 leakage-free re-evaluation flips the script: random forests win by 13 F1 points, randomly rewired edges beat the real graph, and every model falls off a cliff at time step 43.
World Chain reserved top-of-block space for verified humans while 382M smart-account ops poured in. We read the Semaphore tree on Ethereum — 17.59M identities, hourly batches at ~3,300 gas each — decode PBH's month-stamped nullifiers, and find the human-only lane sitting almost empty.
An agent holding your raw key is one prompt injection from total loss — and 97% of early EIP-7702 delegations went to drainer sweepers. We read the sweeper's source off the chain, dissect a real 35.97-USDC-a-day spend permission on Base, and do the blast-radius math.
Story raised $140M to make IP programmable for the AI era. We read its chain: 6.46M registered IP assets, 230,300 licenses ever minted, one week of royalties totaling $10 — plus the LAP/LRP royalty math and the precompile at 0x0101 that computes the graph.
Zero-knowledge proofs aren't the only path to trustworthy on-chain AI. Optimistic schemes trade latency for a 1000x cost reduction — here's how dispute games over inference actually work.
We ran multi-agent LLM pipelines against historical exploit corpora and live audit engagements. The results reshape where AI fits in a security review — and where it absolutely doesn't.
Zero-knowledge proofs promised to make machine learning trustless. A field survey of where zkML actually stands — proving systems, quantization tradeoffs, and what's deployable today.