原文拿不到，這是編者的評論，我不翻譯了，大家自己去看吧。One thing is missing, Cost and further Scalability. 1 TOPs AGI way too small and useless. Need be able to scale up another 10 order of magnitude.
Editor’s summary
Rapid advances in artificial general intelligence (AGI) come with increased performance and energy efficiency requirements for next-generation computing. Photonic computing has the potential to achieve these goals, but despite attracting attention, current photonic integrated circuits, specifically optical neural networks (ONNs), have limited scale and computing capabilities, barely supporting modern AGI tasks. Xu et al. explored a distributed diffractive-interference hybrid photonic computing architecture to effectively increase the scale of the ONN to the million-neuron level. They experimentally realized an on-chip 13.96-million-neuron ONN for complex, thousand-category-level classification and AI-generated content tasks. The present work is a promising step toward real-world photonic computing, supporting various applications in AI. —Yury Suleymanov
提出個新奇概念，嘩眾取寵，反正領導們也看不懂，先把錢騙到手再說，折騰一番後再找個理由就搪塞了。
耗費萬億的芯片大躍進，變了個臉繼續忽悠。