AI 导读
5× 上下文压缩对 GPT-5.5 的最终任务结果影响出乎意料地小。 压缩后的智能体在统计上与全上下文版本一样成功。 变化的是它达成目标的方式：它更依赖检索来重建被丢弃的信息。 – arxiv. org/abs/2608.16370 标题："What Does Context Compression Cost an Agent? Interaction Costs Unrevealed by Task-Completion Metrics"
正文
5× context compression did surprisingly little to GPT-5.5’s final task result.
The compressed agent remained statistically as successful as the full-context version.
What changed was how it got there: it relied much more heavily on retrieval to reconstruct dropped information.
– arxiv. org/abs/2608.16370
Title: "What Does Context Compression Cost an Agent? Interaction Costs Unrevealed by Task-Completion Metrics"
来源：@rohanpaul_ai · x.com