“The Nancy Guthrie thing has shown just how important video and more video would be in a case like this,” Siminoff said. “I think it’s been clear, but I think this is just another example of, like, how important it is to have video at your house.”
不过，机遇背后也暗藏挑战。蓝瓶咖啡的“慢文化”与瑞幸的“快效率”存在天然的基因冲突，蓝瓶坚守的精品化、慢体验，与瑞幸追求的规模化、高周转如何兼容，成为大钲资本与瑞幸面临的核心考验。，详情可参考电影
https://feedx.site，这一点在电影中也有详细论述
Abstract:Autoregressive decoding is bottlenecked by its sequential nature. Speculative decoding has become a standard way to accelerate inference by using a fast draft model to predict upcoming tokens from a slower target model, and then verifying them in parallel with a single target model forward pass. However, speculative decoding itself relies on a sequential dependence between speculation and verification. We introduce speculative speculative decoding (SSD) to parallelize these operations. While a verification is ongoing, the draft model predicts likely verification outcomes and prepares speculations pre-emptively for them. If the actual verification outcome is then in the predicted set, a speculation can be returned immediately, eliminating drafting overhead entirely. We identify three key challenges presented by speculative speculative decoding, and suggest principled methods to solve each. The result is Saguaro, an optimized SSD algorithm. Our implementation is up to 2x faster than optimized speculative decoding baselines and up to 5x faster than autoregressive decoding with open source inference engines.