Archive
22 articles published in this period.
Federated learning keeps raw data local — but the gradients it publishes on-chain are not private. Inversion attacks reconstruct training images from them, and a public ledger makes that window permanent.
Controlling one intermediate pipeline stage is enough to inject a backdoor into a decentralized post-training run — 94% ASR, no data access required. The mechanism, why training loss stays clean, and what it means for networks fine-tuning LLMs across untrusted nodes.
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.
Chainlink's push oracle only updates when price moves ≥0.5% or an hour passes. That gap costs AI agents real money — and Pyth's pull model closes most of it.
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.
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.
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.
Ethereum's 12-second slot clock creates a hard lower bound on AI agent state freshness. Here's what that means for liquidators, arbitrageurs, and yield rebalancers — and how to engineer around it.