Skip to content
NewA calmer, faster ZeroHour

Anthropic open-sources FlashProve provable inference prototype

Original title: Anthropic open-sources FlashProve, its provable inference prototype for MoE models

Help Net Securityby Anamarija Pogorelec ()2 min read
Part of a story covered by 3 sourcesAnthropic Open-Sources FlashProve for Verifiable AI OutputsMerged summary & timeline
AI summary · x-ai/grok-4.7Summaries by Vani AI

FlashProve cryptographic proofs confirm specific models generated specific replies, tested on Llama 4 Maverick MoE model.

Anthropic Frontier Red Team with EPFL, MIT and StarkWare collaborators released FlashProve prototype producing cryptographic proofs that one LLM generated one reply. Repository includes prover, C++ verifier and Lean reference verifier under Apache 2.0 license. Tested on Llama 4 Maverick 400 billion parameter Mixture-of-Experts model requiring one 80 GB GPU.

Key facts
  • Prover, C++ verifier and Lean verifier released
  • Proof for 1024-token request ~18.78 MB
  • Checking takes ~17 seconds on 24 CPU threads
  • Offline commitment ~39 minutes per model
  • 72x overhead vs vLLM
Explain this AI news with Vani AIWhat was announced, what is new and why it matters, in a new chat

From the original article

2 min read at helpnetsecurity.com

Anthropic’s Frontier Red Team, with collaborators at EPFL, MIT and StarkWare, built FlashProve, a prototype that produces a cryptographic proof that one specific language model generated one specific reply. The prover, two verifiers, the formal proofs behind them and a protocol specification are on GitHub under the Apache 2. 0 license.

Help Net Security

By Anamarija Pogorelec · helpnetsecurity.com

Read the full article at Help Net Security

A short excerpt; the article and its images belong to the publisher. Summary, key facts and assessment above are AI-written from the article and can be wrong.