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The FHE Inference Wall
Log-scale bar chart comparing FHE vs MPC inference latency for BERT-Tiny, BERT-Base, ResNet-20, and ResNet-50. Click a model to see memory and throughput detail.
Lab
Artifacts ⬢
138 explorable, interactive pieces — every concept we write about, made tangible.
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The Fault Quadrant
A 2D map of EigenCloud's four fault classes — click any fault type to see which slashing mechanism applies and why.
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The Exploit Floor
Three protocol TVL zones defined by A1's $6k attack break-even vs. $60k audit cost. Click a zone to see the threat model and recommended defense.
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The Exploit Asymmetry
When an LLM agent writes the exploit, the fight is unit economics. Break-even contract value against cost-per-scan: the attacker's line, and the defender's sitting 10× higher because a bounty pays a tenth of a theft. The band between is the attacker-only zone, with A1's six models at measured cost.
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The Evaluator's Chair
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.
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The Enforcement Gap
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.
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The Draft-Verify Loop
Run a speculative-decoding round at a time: a cheap drafter proposes γ tokens, the target verifies them in parallel and accepts a prefix plus one free token. Drive α, γ, and drafter cost c; watch the accepted length converge to Leviathan's Ω and the speedup peak, then fade.
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The Draft Race
Animated simulation of autoregressive vs speculative decoding. Adjust acceptance rate α and draft depth K to see how speedup changes — and what happens when a draft node defects.
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The Dilution Myth
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.
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The Detection Cliff
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.
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The Delegation Chain
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.
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The Decentralization Tax
Cost per million tokens and throughput for Llama 3.3 70B on 8x H100 as the batch fills. A single-tenant node (B=1) runs ~25 tok/s at ~$258/M; a filled batch (B=256) runs ~2,800 tok/s at ~$2.30/M — same silicon, 112x cheaper. Pick a batch; read the tax you pay for the GPU you can't fill.