Archive
138 artifacts, grouped by date.
A liquidation mints a fixed prize — the bonus on seized collateral. Three bars split it three ways: a gas war bleeds it to the block builder, private orderflow pockets it for the searcher, an OEV auction returns ~73% to the protocol. Drive size, bonus, competition; anchored to Chainlink SVR figures.
Does an AMM LP out-earn the arbitrage bots picking off its stale quotes? Plot fee income (flat) against LVR = σ²/8 (rising with vol²): where they cross is break-even. At low turnover even BTC sits in the red. Flip on solver-auction recapture and the frontier slides right.
Scatter chart placing five major liquid restaking tokens by restaking yield vs. worst historical depeg. Drag the LTV slider to see your liquidation boundary update in real time.
Why memory injection beats prompt injection against on-chain AI agents, in three switchable charts over CrAIBench: 685 attacks skewed to trading, a 55.1%-vs-0% gap on the strongest model, and the fine-tuning defense that drops attack success 85.1% to 1.7%. Tap or arrow the bars for numbers.
Interactive diagram of Ethereum's PBS pipeline — Searcher, Builder, Relay, Proposer, Block — with builder concentration numbers, private orderflow paths, and the mev-commit preconf feedback arc.
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.
Under secure two-party inference, a transformer's cost is eaten by Softmax and GELU, not the matrix multiplies. Stacked per-operation communication and interaction rounds for one BERT-base block across Iron, BumbleBee, and Nimbus — the nonlinear activations are 80–95% of the bill.
The six stages of an ERC-4337 UserOperation — from construction by an AI agent to paymaster settlement — with the actor, failure modes, and gas cost at each step.
Where reliability comes from in on-chain LLM trading agents, over DX Terminal Pro's production run: model upgrades move swap success 87% to 96%, but the operating layer takes the same weights to 99.9%. Switch panels for the prompt fixes that erased three failure modes. Tap or arrow the bars.
Compare Chainlink's push oracle price against Pyth's pull price and live spot. Drag the slider to see exactly when the 0.5% deviation threshold triggers an on-chain update.
Three agentic payment protocol architectures—AP2, TessPay, and On-Chain ERC-4337—shown as flow stages. Toggle Attack Mode to highlight where prompt injection compromises each design. Click a column to inspect protocol details.
Real reasoning-token embeddings cluster tightly in projected 3D space; phantom billing tokens scatter as noise outside the CoIn detection boundary. Toggle inflate to inject phantom tokens and watch 94.7% get flagged outside the wireframe sphere. Drag to orbit.