Archive
136 articles, grouped by date.
Polymarket's off-chain matching + on-chain settlement creates a ~10-second consistency gap. GHOSTHUNTER found 980K targeted reversions and $1.49M extracted — here's the exact mechanism.
Every ECDSA signature broadcasts the wallet's public key. A March 2026 Google/EF paper tightens the quantum break estimate to ~500k physical qubits — here's what that means for autonomous AI agent wallets.
Llama-3.1-8B starts at 15.9% on MATH. Put it in an auction economy and it reaches 57.0% — beating a stronger monolithic baseline. The mechanism is Hayek: decentralized price signals, wealth accumulation, and economic selection pressure do what central orchestration can't.
Any permissionless network that rewards the best gradient contribution faces a Nash equilibrium where every rational miner copies instead of computes — same reward, zero cost. Gauntlet's commit-reveal mechanism closes that trap, and already trained a 1.2B LLM on Bittensor with real token payouts.
On OP Stack chains, 'confirmed' is a four-layer promise stretching from 2 seconds to 7 days. AI agents that collapse these into one boolean expose themselves to sequencer reorgs, bridge lockups, and state dispute windows. Here's the full settlement stack, and an action taxonomy for each rung.
VitaDAO mints a Molecule IP-NFT — an ERC-721 pointing to a legal research agreement on IPFS — then fractionalizes it into ERC-20 tokens for community funding. Now AutoScientists runs the experiments at machine speed. Here is what the chain actually proves, and what it doesn't.
To borrow $100 in DeFi, you lock $125–167 in collateral. That gap is the price of trustlessness — and AI agents pay it the same as anyone. On-chain credit scoring is emerging to close it, but the signals that work for humans fail for agents that can spin up new addresses in milliseconds.
Probabilistic classifiers miss 30–40 % of policy violations. Lean 4 theorem provers and SMT solvers make certain guardrail tiers mathematically certain — here's how the four-layer policy stack works.
On-chain AI agents face a circular oracle problem: you need inference to decide if inference is worth calling. Here's what the token cost distribution actually looks like — and how to build around it.
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×.
Uniswap v4 hooks make every liquidity pool programmable. Here's how the 14-bit permission bitmap works, what fires during a swap, and where AI agents fit into dynamic fee architecture.
EIP-4844 blobs look like cheap on-chain storage, but they vanish in 18 days. Here is why DA windows break AI training pipelines and what to use instead.