Chubby♨️@kimmonismus · XAI 摘要
文章探讨了OpenAI GPT系列模型的迭代策略。核心观点是，模型更新不仅意味着能力增强，更重要的是token效率的提升。token效率的提高直接带来更低的延迟、成本和摩擦，对于未来更复杂、运行时间更长的AI智能体工作流至关重要。从GPT-5.0到GPT-5.5的每次迭代，都在能力和token效率（进而带来速度增益）上实现进步，GPT-5.5是目前最好的模型。作者肯定了GPT-5.5在推理和执行效率方面的实际提升，并对GPT-5.6将变得更高效抱有高期望。
It's reasonable to expect that the next iteration will be better. It would be surprising if GPT-5.6 wasnt an improvement over GPT-5.5.
But the more interesting part is token efficiency. As models move into more complex， longer-running， agentic workflows， every wasted token becomes latency， cost， and friction. Obv.
GPT-5.5 seems to be a real step here： not just more capable， but more efficient in how it reasons and executes. Kudos. High hopes for 5.6 being even more efficient.
When we go from GPT-5.0 -> GPT-5.1 -> ... -> GPT-5.5, the number incrementing goes with improvements in capabilities and token efficiency (which translates to s...