Archive
137 artifacts published in this period.
Where decentralized training nodes sit on Earth and what it costs to sync them. Toggle INTELLECT-1's three measured configurations and watch the ring all-reduce span the globe: 103s inside the USA, 382s across the Atlantic, 469s once Asia joins.
Split one DataDAO reward pool across five overlapping contributors three ways: equal split, leave-one-out, and exact Shapley value over all 2ⁿ coalitions. Drag quality sliders, drop the unique contributor, or flip on the Sybil attack and watch equal split overpay a cloned wallet.
One frozen Qwen-3.5-9B judging adversarial Optimism DAO proposals, deliberation off vs on. System 1 holds every metric at 100%; reasoning drops robustness to 68.5%, flips 27% of verdicts, and costs 17x latency — a 226s window that is itself Governance-Extractable Value. Tap a row.
Drive the Proof-of-Learning trap: a logged training trajectory, audited top-Q by re-execution against a tolerance δ. Forge the run and it still passes — the forger tuned every interval under δ for 3% of training cost. Tighten δ to catch it and the honest node fails first.
The move-or-hold call a stablecoin yield agent makes all day, on the live Aave V3 USDC curve from Base: supply capital into a higher-quoted pool and watch your own deposit slide the realized APY down the kinked curve, then race the spread against gas. Shallow pools and L1 gas flip MOVE to HOLD.
The TEE remote-attestation chain of trust, stepped through: silicon root, CPU TDX quote, H100 attestation, on-chain DCAP verifier, signed inferences. Flip to the TEE.fail forged-quote path and watch the verifier still return valid — the crypto checks out, the premise is false.
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.
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.
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.
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.
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.
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.