Due to this more measured approach, error-diffusion dithering is even better at preserving details and can produce a more organic looking final image. However, the algorithm itself is inherently serial and not easily parallelised. Additionally, the propagation of error can cause small discrepancies in one part of the image to cascade into other distant areas. This is very obvious during animation, where pixels will appear to jitter between frames. It also makes files harder to compress.
"Rubbish," says Nathan Lepora, Professor of Robotics and AI at Bristol University. He has spent his career working on robot hands and says human level dexterity is still some way off.
，详情可参考雷电模拟器官方版本下载
Maximum Transparency
能让OpenAI如此执着挖角的，自然不是一般人。