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Interactive 32-expert MoE routing grid showing honest (k=8) vs shunted (k=4) dispatch with Standing Committee highlighting and detection scheme verdicts (TOPLOC, DiFR, EigenAI TEE, consensus sampling). Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01Upxu3gfShfnqk5yBm1YS3S
…e-verification-blind-spot-in-decentralized-ai 1700-word deep dive on MoE k-shunting as a decentralized inference attack: why the Standing Committee makes detection hard, why TOPLOC/DiFR/consensus sampling are blind to it, and the router logit commitment + routing-layer TEE path to a fix. Proof-of-intelligence series part 12. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01Upxu3gfShfnqk5yBm1YS3S
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Article: The Expert Gap: Mixture-of-Experts Routing and the Verification Blind Spot in Decentralized AI
Concept claimed. Building in progress.
the-expert-gap-mixture-of-experts-routing-and-the-verification-blind-spot-in-decentralized-aithe-gating-problem(dom/simulation, baked-in routing activation data)Summary
Why this subject now
MoE is now the majority of frontier model FLOPs (DeepSeek-V3 deployed at scale by Fireworks, Together.ai, and Groq since Jan 2026). Decentralized inference networks (Ritual, Gensyn, ORA Protocol) are adding MoE support without updating their verification models. The Misrouter paper is 6 weeks old and hasn't been discussed in the context of decentralized AI.
Artifact
the-gating-problem— an interactive DOM/simulation showing a 32-expert MoE layer processing tokens. Toggle between Honest routing (k=8) and Shunted routing (k=4), see compute savings vs quality tradeoff, and a detection panel showing which verification schemes catch (or miss) the substitution. Data: baked-in routing frequency distributions from COMMITTEEAUDIT 2026.Duplicate check
Reviewed all 135 existing articles. No prior coverage of MoE routing as an attack surface on decentralized inference. Related articles in the proof-of-intelligence series (TOPLOC part 10, EigenAI part 10, The Biased Draft) cover dense-model verification only.
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