核心信息
Ahmad Awais认为，开源权重模型将在2027年前超越闭源前沿模型，理由是成本大幅降低、使用率显著提高，以及效率提升推动推理总消耗量激增。
要点
- 开源模型比闭源模型便宜约100倍，使用量高出10-50倍。
- 引用杰文斯悖论：更便宜、更高效的推理会带来总消耗量的天文级增长。
- 预测随着对推理过程的理解加深，开源模型的可控性和竞争力将不断增强。
Ahmad Awais：开源模型将在2027年前超越闭源前沿模型
原始推文
It seems more and more obvious that open models will outpace the closed models frontier in 2027. Open models are 100x cheaper and being used 10-50x more. Jevons paradox has never been more true. Every thing on token efficiency, cache improvement, 2x price decrease, all of it is leading to astronomical increase in total consumption of open models inference. The more inference-native we get the more we understand how to control open models. In this distributed messy yet extremely competitive market where market share is captured by the likes of android ecosystem it definitely feels like we are building the iPhone. Moving from labs to factories. Optimizing both software harness and hardware inference. Every tool repair and trace goes further in self improving the overall system. Today at Command Code we have hit 1 Quadrillion tokens yearly scale. Peta bytes of data flow and nearing billion tokens per second speed of light economics. It’s impossible to not be excited about the future.