Archive
136 articles, grouped by date.
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.
An autonomous agent that swaps in the open broadcasts its intent to every searcher in the mempool. We solve the optimal sandwich on a live Base pool, show why an agent's slippage default is the searcher's profit knob, and price the defenses.
LRTs promise compounded yield from staking and EigenLayer restaking in a single token — but their soft peg to ETH hides two distinct failure modes with very different implications for your DeFi collateral positions.
Zero-knowledge proofs can slash a double-signer but not a lying AI oracle. EIGEN's intersubjective fault model closes this gap via social consensus-driven forking — and it's live on EigenAI mainnet.
Softmax costs 275 ZK constraints per element vs 4 for MatMul. ZK-DeepSeek proved Transformer inference is expressible in SNARKs. Lookup arguments (Lasso, LogUp) explain how — replacing in-circuit transcendental approximations with pre-committed tables cuts nonlinear costs 10–20×.
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.
CoW Protocol's batch auction design makes front-running structurally impossible — and that matters enormously for AI agents executing DeFi strategies at machine speed.
Covenant-72B pre-trained a 72.7B-parameter LLM across 70+ anonymous internet peers. The key was SparseLoCo: 1.56% gradient density plus 2-bit quantization achieves 146× compression, collapsing the required uplink from 1.9 Gbps to 110 Mbps — consumer fiber.
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.
Shared-state multi-agent LLMs exhibit three formal anomaly classes — stale-generation, phantom-tool, causal-cascade. Three 2026 papers prove them unavoidable without isolation primitives and measure the fix: zero corruptions across 884,110 commits under Observable-Read Isolation.
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 mainnet gas averaged 0.16 Gwei in June 2026 — a 3,000× drop from DeFi summer 2021. That collapse doesn't just cut costs; it invalidates five years of AI agent design assumptions and opens architectures that were economically impossible until now.