Archive
22 articles published in this period.
ERC-4337 lets AI agents transact without holding ETH — but the alt-mempool has its own fee market, bundler economics, and MEV surface every builder must understand.
Foundry forks freeze five properties of the Ethereum execution environment that are live, adversarial, and expensive in production: basefee, oracle prices, blockhash entropy, MEV competition, and TWAP accumulation. Each one silently misleads AI agents through testing.
An SP1 proof costs 327k gas on Ethereum mainnet. At a 30M-gas block target, a naive AI inference market maxes out at 91 verifications per block. SnarkPack's O(log N) aggregation collapses 1,000 proofs to a single 880k-gas verification — here's the mechanism, the math, and the latency tradeoffs.
Every EIP-4844 blob is secured by a KZG polynomial commitment — 48 bytes committing to 128 KB, verifiable in 50,000 gas. That efficiency required 140,416 people to collectively bury a secret for 69 days. Here's the math, the ceremony, and why Ethereum chose a different scheme for state.
When a perp DEX's insurance fund runs dry, ADL force-closes winning positions first — ranked by profit %. Chitra 2026 proves no mechanism can be solvent, fair, and revenue-neutral. Hyperliquid Oct 10 2025: $2.1B closed, $653M via ADL, $45–51.7M haircut in 12 min.
An on-chain agent's transactions prove what happened, not why. Three 2026 papers on trajectory anomaly detection show how to close that gap — and how the optimistic bisection game from rollups makes it slashable.
CoW Protocol's batch auction design makes front-running structurally impossible — and that matters enormously for AI agents executing DeFi strategies at machine speed.
An AI agent holding a raw ECDSA key is one model compromise from total loss. FROST's two-round DKG means the full private key never exists anywhere — not during setup, not during signing. Here's the mechanism, the Ethereum gap, and how Lit Protocol PKPs deploy it today.
PREVRANDAO costs roughly $88 per bit to bias. Chainlink VRF costs $2.43 per request. Here's how to choose the right randomness source for AI agents making on-chain decisions — and what breaks when you choose wrong.
Solana agents get 400 ms — but only if they declare every account they'll touch before execution starts. The Sealevel write-lock model, hot-account contention, Jito tip economics, and what the declarative execution contract means for AI agent design.
FRI-STARKs are fast and trustless, but their proofs are megabytes wide. Groth16 is 256 bytes but needs a ceremony. STARK→SNARK wrapping resolves the tension — and it's why SP1 and RISC Zero can settle any ML inference on L1 for under 300k gas.
Deposit ETH in Aave, borrow USDC, buy more ETH, repeat. Three loops creates 2.97× leverage from a single ETH — and all three positions share one liquidation trigger at −3% ETH price. The math, the cascade, and why AI yield optimizers find themselves here by default.