I've been scrolling through Douyin these past couple of days, and I keep seeing experts talking about the AI bubble. But honestly, I think having a bubble isn’t scary— what’s truly scary is missing out on opportunities!!!! After chips, computing power, energy, and storage, the next big direction worth paying attention to in AI, I think, might be: Physical AI / Embodied AI. AI is starting to move beyond screens and into the real world. Robots need to understand space, objects, and environments. So here’s the question: Where will the data to train these AIs come from? Just recently, I came across 4D Labs @4Dlabs_Official, which was funded by YZi Labs. After digging into it, I found their idea is actually pretty simple: Provide real-world 3D data for Physical AI. From data collection and processing to training, validation, and data rights, they’re building a complete data infrastructure. —————————— Why did YZi Labs invest in 4D Labs? I think the key focus isn’t just Web3 data. It’s that 4D has hit a critical intersection: AI × 3D × Web3. AI is gradually transitioning from the digital world to the real world step by step. And when AI truly starts to understand, generate, and interact with the real world, high-quality, real, and verifiable 3D data will likely become increasingly important. As AI enters the real world, what will the next stage of data infrastructure look like? This might be the story 4D Labs is trying to tell. —————————— Right now, 4D Labs has launched an Alpha event on Galxe. Complete simple tasks, and you can earn an Alpha Badge & OAT! Portal: https://app.(galxe.com)/quest/4Dlabs/GCJxRtZjhh