In the track of AI and Web3 integration, GAEA attracted my attention with its unique "emotional data layer" and distributed AI training network. After research, I chose to participate based on the following three considerations:👇👇
1. Contribution equals reward: participating in building the next generation of AI
Unlike traditional AI platforms that treat user data as "free resources", GAEA attempts to quantify my contributions—whether data or computing power—through a points system. This allows me to transform from a passive user to an active builder of the AI network, with the opportunity to share in its growth dividends.
2. Betting on the key technological bottleneck of 'emotional intelligence'
Current AI is powerful yet cold. GAEA focuses on addressing the shortcomings of AI in emotional understanding by collecting high-quality emotional data through the community to train models with greater 'empathy'. My participation is in support of what I believe to be a more promising direction for AI development.
3. A low-cost Web3 practice
Currently, the barrier to entry for its testnet activities is extremely low, allowing one to experience the complete Web3 participation process through simple tasks without any financial investment. This provides me with a zero-risk opportunity to understand the operation mode of AI + blockchain projects.
In summary, my participation in GAEA is seen as a technical experiment and an early learning opportunity, aimed at personally engaging in a community that may shape the future forms of AI, and accumulating valuable cross-disciplinary insights.
