Core Viewpoint - Shanghai Jiao Tong University has achieved a breakthrough in the field of next-generation optical computing chips, successfully developing an all-optical computing chip that supports large-scale semantic media generation models, with results published in the journal "Science" on December 19 [1] Group 1: Optical Computing Breakthrough - The traditional chip architecture is facing a significant performance growth gap due to the rapid evolution of deep neural networks and large-scale generative models, leading to increased demand for computing power and energy [1] - Optical computing is viewed as a crucial direction to overcome the bottlenecks of computing power and energy consumption, utilizing light propagation in chips instead of electrons in transistors [1] Group 2: LightGen Chip Development - The LightGen chip developed by the research team demonstrates a performance improvement of two orders of magnitude in computing power and energy efficiency compared to top digital chips, even when using relatively outdated input devices [2] - Key breakthroughs in LightGen include the integration of over one million optical neurons on a single chip, full optical dimension conversion, and a novel light-based generative model training algorithm that does not rely on true values [2] - LightGen can complete a closed loop of "input—understanding—semantic manipulation—generation," enabling high-resolution (≥512×512) image generation, 3D generation (NeRF), high-definition video generation, and semantic control, while also supporting denoising and feature transfer tasks [2]