#数字资产市场动态 Why am I optimistic about the GAEA direction? To put it simply, it’s tackling a tough nut that others are avoiding.

When choosing projects, I’ve always been asking myself: what exactly is it solving? Is it addressing a problem that existed yesterday, or is it truly filling a market gap?

GAEA isn’t about piling up semantic understanding or optimizing command execution efficiency—those have been thoroughly explored already. Its focus is on AI’s perception and understanding of emotions. It sounds a bit abstract, but once you think about real-world scenarios, it becomes clear: medical companionship, psychological counseling, educational interaction… In these fields, whether the system can understand and respond to emotions directly determines the quality of the experience.

This demand has always been there. The problem is, emotions are too complex and subjective, making systematic handling extremely difficult. Most projects choose to avoid it. GAEA, on the other hand, boldly tackles it—transforming emotions into recordable, learnable data layers. This proactive approach to solving the problem is worth pondering in itself.

In the long run, whoever manages to secure a foothold in this track may hold the discourse power in the next wave of AI applications.