Archive
138 artifacts, grouped by date.
An AI proposer is wrong a few percent of the time, but UMA pays a winning disputer only half the bond it risks — so the break-even belief is two-thirds, not half. Every category's base error rate sits deep in the no-dispute zone; raise the reward and the threshold slides left.
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.
Pick the GPU a provider bills for and the cheaper card it secretly runs; the network measures the real device's compute, bandwidth and VRAM and plots it against the claimed model's fingerprint. Watch the spoof land outside the tolerance band — or hide inside it.
Drive a Virtuals ACP escrow job: client funds USDC, provider submits a deliverable hash, and whoever sits in the evaluator's chair springs the payout. Seat the client (what ~all of Base does), a neutral agent, or no one — then run it or let someone cheat, and watch who's left exposed.
A single mech request, drivable: drag the priority mech's response time across the 60-300s window. Inside it the priority mech delivers and gains Karma; past it a backup delivers, the priority mech forfeits the fee and is docked Karma. Live Olas marketplace constants.
Open weights can't be locked, so ownership is proven by counting surviving fingerprints. Embed thousands of secret key-response pairs; an adversary fine-tunes to scrub them and each audit burns one to leakage. Watch the reserve survive — or not.
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.
Allora weights models by regret, not votes. Drag a market from calm to a volatility spike: five forecasters ride the softplus weight curve φ′(R̂), the low-vol specialist collapses the instant a spike is forecast while the vol-aware model climbs. Tap a model for its R→R̂→w chain.
Watch a searcher sandwich your agent's swap on the live Aerodrome WETH/USDC pool on Base. Set trade size and slippage tolerance; the optimal front-run is solved on the real constant-product curve, capped by your tolerance. Route privately and the extraction goes to zero.
How many audit probes it takes to catch a substituted model, as a function of how subtle the swap is. A 1/Δ² curve over real quantization accuracy gaps: a model swap is caught in a few hundred probes; FP8 needs ~150k and falls off the cliff into the economically-invisible zone.
The same 250-document backdoor that compromised LLMs from 600M to 13B params, plotted across model scale. Toggle 'documents needed' — a flat 250 vs the myth that poison scales with data — and 'share of training set', collapsing to 0.00016% and below. Drag to pick a scale.
Walk the real bonding curve that prices a tokenized AI agent: 6,000 virtual VIRTUAL against 1B tokens on a constant product, spot ramping 64× to graduation at 42,000 VIRTUAL. The shaded area is VIRTUAL raised; toggle the halfway split to see the first 21,000 buy ~89% of supply.