Meta研究：AI自主管理上下文表现更优
Meta发现让AI自己管上下文比硬编码规则更好，性能提升还省计算资源。
Meta发布新论文，提出让AI模型自主管理上下文而非硬编码规则。研究表明，自主管理上下文的AI在深度研究基准测试中比Codex风格摘要方法得分高11.4%，同时计算资源减少21.5%。模型能根据任务理解判断保留哪些信息，舍弃无关内容。
Meta dropped a great paper.
AI agents perform better and cost less when they manage their own context, so stop hard-coding the rules for what they keep.
Right now, most AI agents follow rules you write to decide what to forget when their context fills up, like "summarize everything when it's full." This paper shows you can delete those rules and let the model clean up its own context, and it does a better job with less compute, even with today's models and no training
Since the model understands the task, it can judge what still matters, keep exactly that, and throw out the rest.
On a deep-research benchmark, it scored 11.4% higher than Codex-style summarization while using 21.5% less compute.
For long-running agents, let a strong model manage its own context before writing more cleanup rules.
