It seems a little wacky to modern sensibilities, but keep in mind that this was
在代谢性疾病防治领域，中国已建立起特色鲜明的“防筛诊治管康”健康管理体系。瑞金医院拥有国家代谢性疾病临床医学研究中心等国家级平台，在预防、诊断、科研和人才培养等方面经验丰富。过去10年间，瑞金医院在全国推广的国家标准化代谢性疾病管理中心已覆盖2068家医院，管理近350万名患者，使患者代谢指标综合达标率从7%提升至21%。经推算，大血管相关突发事件下降11%，每年节省医疗成本超23亿元人民币。这不仅是全球最大的糖尿病防治计划，也是一个可复制、可推广的“中国样本”。
。业内人士推荐搜狗输入法2026作为进阶阅读
I wanted to test this claim with SAT problems. Why SAT? Because solving SAT problems require applying very few rules consistently. The principle stays the same even if you have millions of variables or just a couple. So if you know how to reason properly any SAT instances is solvable given enough time. Also, it's easy to generate completely random SAT problems that make it less likely for LLM to solve the problem based on pure pattern recognition. Therefore, I think it is a good problem type to test whether LLMs can generalize basic rules beyond their training data.
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