Nodes, indexers, RPCs, GPUs, and the operational backbone of AI and chain systems.
Speculative decoding accelerates LLM inference 2–4× by splitting work between a cheap draft model and an expensive verifier. When those run on different nodes in a decentralized network, three properties of the protocol that are trivially safe on one machine become open attack surfaces.
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.
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.
HTTP 402 sat reserved for 30 years. x402 fills it: an AI agent signs an EIP-3009 authorization into a header, a facilitator settles on Base in two seconds, no ETH required. Protocol mechanics, production numbers, and where the centralization risk lives.
To slash a dishonest AI operator on EigenLayer you need a proof. To produce one, you need determinism. EigenAI solves both: seeded inference + optimistic re-execution inside a TEE collapses verification to a byte-equality check — slashable at Ethereum-scale security.
ERC-7683 gives users cross-chain swaps in 8 seconds by converting bridge latency into a solver capital float problem. The 4–7 bps spread is a rental rate on cross-chain inventory — here's the lifecycle, the capital math, and what AI agents pay to move capital across chains.
BERT-base under FHE takes 149 seconds, needs 112 GB, and sustains 0.007 samples/sec. Best-case MPC takes 2.3 seconds and 4 GB. The gap traces to one operation: bootstrapping — the noise-refresh that makes FHE theoretically unlimited but practically expensive.
Skill marketplaces let any agent buy trading capabilities off a shelf — and every skill is an execution vector. SAE's non-bypassable execution guards cut max drawdown from 46.4% to 3.2% (↓93%), CVaR by 97.5%, and the Delegation Gap by 97% on live perp data. The defense isn't in the model.
Ethereum's blob fee market held at 1 wei for twenty months after Dencun, then broke in December 2025. Here's what the data shows, what drove the cycle, and what it means for L2s and AI agents that depend on cheap calldata.
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.
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.
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.