I've been thinking a lot about how to keep my crypto AI portfolio balanced. With Mira and Allora kicking things off this August, I expect a steady wave of strong crypto AI projects to TGE over the next year. Around the same time, $TAO's first halving is also on the horizon. Even within the broad “crypto AI” category, there are many different sub-sectors. And I genuinely think each one matters. Just look at Mira and Allora. >@Mira_Network is an AI verification layer that uses ensemble consensus to validate outputs. Even within the verification space, it's in a completely different lane from zkML or TEE-based projects that focus on verifying compute. >@AlloraNetwork is building an incentive-driven environment where ML developers compete to produce better models for specific topics. It’s a unique angle built around the idea of collective intelligence. This space will keep evolving, and new TGEs will continue to emerge across different verticals. I want to make sure I’m holding tokens from the most meaningful project in each area. But figuring out how to balance that properly is still something I'm working through.