Honey, I've been reading a Forbes & Messari report lately, and it seems the battleground for AI might be shifting. Previously, everyone was focused on models and computing power, but the next challenge might be: Where does real-world data come from? Current AI excels at processing online data, but when it comes to real-world scenarios like logistics, city operations, and route planning, it discovers that data not only needs to be plentiful, but also authentic and verifiable! This is why people are starting to talk about DePAI (Decentralized Entity AI) lately. From this perspective, the logic of $XYO @OfficialXYO makes perfect sense. With tens of millions of nodes globally, it's inherently building a real-world data network. Location, sensors, and motion status are all indispensable for AI implementation. If the model is the brain of AI, then verified real-world data is its eyes. Therefore, the future of AI might not just be about intelligence, but about how accurately it sees the data. What do you think?