Journal
136 articles on the craft of AI × blockchain engineering. or filter by topic:
Launching an AI agent token is one constant-product auction. We read Virtuals' Bonding contract off Base: a 6,000-VIRTUAL virtual reserve, a 64× price ramp, graduation at exactly 42,000 VIRTUAL, and the 12.5% gap where the Uniswap pool opens below the curve.
Virtuals' Agent Commerce Protocol sells an independent evaluator as the thing that makes agents trust each other's work. We read 62,882 jobs off Base — and in a 30-job sample, every one let the buyer grade itself. Not one used a third party.
Bittensor let AMM prices decide which AI subnets earn 3,600 TAO a day — until a memecoin subnet gamed the formula. Inside the TaoFlow upgrade: the constant-product math that got exploited, the EMA flow accounting that replaced it, and why refundable manipulation is the design smell to hunt for.
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.
You can copy open model weights bit-for-bit, so on-chain ownership can't be cryptographically enforced — only proven. Sentient's answer: fine-tune 24,576 secret key-response fingerprints into the weights and make scale the security parameter.
FHE left the lab: confidential ERC-7984 tokens settle on Ethereum for ~$0.09 in gas, with 48,000 transfers since December. We dissect a live encrypted transaction, the 13-node MPC committee underneath, and why encrypted inference is still 11 seconds per token.
An agent doesn't need its key stolen to drain a wallet — it can be talked into signing. CrAIBench shows memory injection beating prompt injection 55% to ~0% on the strongest model, and only fine-tuning closes the gap.
ERC-8004's agent registries went live in January. We read them straight off the chain: ~90,000 registrations across Ethereum and Base, a $0.003 ERC-4337 registration dissected — and a reputation registry already farmed with vouch spam.
Majority voting over LLMs throws away the one node that got it right. Fortytwo's swarm inference ranks answers pairwise instead — +17 points on GPQA Diamond — with on-chain reputation and proof-of-capability for Sybil defense. The mechanism, the math, the tradeoffs.
Most decentralized-AI networks vote or average. Allora bets the network should learn whom to trust per context — using forecasters that predict who's about to be wrong, mapped to weights through a softplus gradient. We dissect the mechanism, the math, and where it pays.
We pulled a live x402 settlement off Base: a $0.013 USDC transfer relayed by a facilitator wallet with a nonce past 1.7 million, at an 11% gas-to-value ratio. What on-chain evidence and 100M transactions actually say about the agent economy.
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.