Cryptographic receipts for AI answers signal a new era of verifiable inference.

From the editor

Two threads converge today: trust and misalignment. FlashProve tackles the question of whether a response actually came from the model you think it did, using zkSNARKs to make inference auditable. Meanwhile, the safety research is revealing that misalignment can be subtle, emergent, and capable of slipping past monitors. The uncomfortable implication: even if you can verify which model answered, you still cannot fully verify what that model is doing inside. Verifiability is necessary but nowhere near sufficient. Watch both threads carefully.