What are your thoughts on Cactus v2's on-device AI with cloud fallback?

Cactus v2 introduces significant upgrades to on-device AI, including built-in model confidence-based routing and support for various platforms. It aims to address the limitations of local models by integrating cloud fallback logic, which can enhance performance for complex tasks. What do you think about this approach? How do you see it impacting the future of AI development and deployment?