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Anthropic reports progress on provable inference for large language models

This story is from 2026-11-04. It is preserved in the archive; the latest stories are on the live feed.

Anthropic published research on provable inference for LLMs, using zero-knowledge proofs to provide cryptographic provenance of model outputs, aimed at preventing distillation attacks.

Read the full story at r/mlscaling ↗

Timeline · 4 reports

  1. 2026-11-06 05:00 · arXiv cs.CL
    How Well Can Large Language Models Impersonate Individual Authors? A Comparative Evaluation
  2. 2026-11-04 17:17 · Hacker News Front Page
    Progress on provable inference for large language models
  3. 2026-11-04 05:00 · arXiv cs.LG
    Quantifying out-of-distribution data severity with Wasserstein distances: benchmarking large language models for alloy property prediction
  4. 2026-11-04 01:10 · r/mlscaling
    "FlashProve: Progress on provable inference for large language models", Anthropic (progress on ZKP provenance, for preventing distillation attacks)

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