YC说物理世界数据太少，用便宜传感器和好基础模型能解锁能源、农业这些领域的新数据，挺有启发的。
当前AI在代码、语言和图像领域因海量数据达到超人水平，但对物理世界的理解仍受限于稀疏传感器和基于直觉的模型。YC提出，更便宜的传感器和更好的基础模型可以解锁能源、农业、物流、建筑和气候等领域的新数据集。一旦精确建模物理世界，就能开始控制它。
Data for the Real World @sdianahu & @_austintindle AI has become superhuman at code, language, and...
Data for the Real World @sdianahu & @_austintindle AI has become superhuman at code, language, and images because it has enormous amounts of data to learn from. But our understanding of the physical world is still limited by sparse sensors and models built largely on intuition. Cheaper sensors and better foundation models could unlock entirely new datasets for energy, agriculture, logistics, construction, and the climate. Once you can accurately model the physical world, you can begin to control it. Your browser does not support the video tag. 🔗 View on Twitter 💬 1 🔄 0 ❤️ 0 👀 456 📊 1 ⚡