The Ghost Fill Window
Four attack vectors that exploit Polymarket's off-chain match / on-chain settlement gap. Tap a vector to see mechanism, timing, and cost.
Archive
24 artifacts published in this period.
Four attack vectors that exploit Polymarket's off-chain match / on-chain settlement gap. Tap a vector to see mechanism, timing, and cost.
Six cross-chain protocols mapped as a trust topology. Each connects Ethereum to other chains — but their security assumptions span multi-sig keys to ZK consensus proofs. Tap a protocol to see its trust threshold, verification gas, and hack history.
Why DeFi agents can't be trained on on-chain P&L alone: adjust σ (ETH's real 3.46% daily vol) and edge α to see how many trades you need for 95% confidence, and how process rewards cut it 10×. Math RL reaches certainty in 7 episodes; DeFi takes 4,600.
Animate three governance regimes — ungoverned, constitutional, and institutional — and watch how only enforceable on-chain penalties drive LLM auction prices back toward the Nash equilibrium.
Step through a flash loan transaction — three strategies (triangular arb, collateral swap, self-liquidation), same atomic structure. The amber step is the only place the AI agent reasons; everything after it is deterministic EVM. Tap a strategy chip, then tap any step.
Three require() calls in Ondo Finance's CashKYCSenderReceiver block every address that isn't KYC-verified. Toggle wallet type and compliance model to see which $5B+ tokenized treasury tokens an AI agent can — and can't — reach.
MSM and NTT throughput across four ZK prover hardware tiers — CPU, GPU H100, TPU v6e8, ZK ASIC — normalized to CPU on a log scale. Toggle SNARK (MSM-heavy) or STARK (NTT-heavy) to see how the proof system's operation mix determines end-to-end speedup. Tap a row to inspect.
Five hops — Human → Orchestrator → Sub-Agent → MCP Tool → Chain Call — and zero authentication in the baseline. Toggle No Auth, IBCT Compact, or IBCT Chained; tap any edge chip to see what its token proves, what it carries, and what it can't verify. Based on AIP arXiv:2603.24775.
Log-scale comparison of MC/AUM ratios across AI agent tokens and DeFi protocols, plus gain distribution across 925k holders. Click bars to explore.
ZKLoRA proof times across six base models: the prover bears 31–74 s of computation per LoRA module while the verifier spends 1–2 s. Toggle per-module vs full adapter set; tap a model to see total prover and verifier work — the asymmetry is the deal.
KV cache size (GiB) vs context length for Llama 3.1 8B, 70B, and 405B on log-log axes, against A10G / H100 VRAM ceilings. Toggle BF16, INT4, or DeltaKV compression and drag the cursor — the panel shows whether the live KV state fits on a single GPU.
How much of a reasoning model's output is actually thinking? For three model tiers at three task difficulties, stacked bars show thinking tokens dwarfing output — then a scheme matrix shows which verification schemes can see the thinking and which attest to the answer alone.