newsReddit r/MachineLearningTrust 52 · CommunityPublished 21d agoLive · 21d ago
Is verifiable inference (TEE vs zkML) becoming a real requirement, or still academic outside onchain [D]
kept seeing "verifiable AI inference" everywhere and finally sat down to figure out if it means anything. sharing the plain version, tell me if i got it wrong. short version: verifiable AI inference is proof attached to a model's output so anyone can check which model ran, on what input, and that the result was not changed after. it swaps "trust the provider" for "check the proof." fine to ignore for a chatbot, but the moment
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- PossiblePossibly related (embedding) · 51%Evidence-Grounded Verified Agentic Reasoning: A Path Toward Eliminating LLM Hallucination in Empirical Inference via Tool-Attested Kernel Proofs →
- PossiblePossibly related (embedding) · 49%Theoria: Rewrite-Acceptability Verification over Informal Reasoning States →
- PossiblePossibly related (embedding) · 48%primitive-bench/primitive-bench →
- PossiblePossibly related (embedding) · 46%Vero: Can AI Agents Build Formally Verified Software Repositories? →
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paperEvidence-Grounded Verified Agentic Reasoning: A Path Toward Eliminating LLM Hallucination in Empirical Inference via Tool-Attested Kernel ProofspaperTheoria: Rewrite-Acceptability Verification over Informal Reasoning Statesrepoprimitive-bench/primitive-benchpaperVero: Can AI Agents Build Formally Verified Software Repositories?
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paperEvidence-Grounded Verified Agentic Reasoning: A Path Toward Eliminating LLM Hallucination in Empirical Inference via Tool-Attested Kernel ProofspaperVero: Can AI Agents Build Formally Verified Software Repositories?paperTheoria: Rewrite-Acceptability Verification over Informal Reasoning Statesrepoprimitive-bench/primitive-bench
