Publication date: 28 February 2026
“Immigrants, just by showing up, they’re reducing the debt-to-GDP [ratio], and that’s a good thing for the country,” David Bier, Cato’s director of immigration studies and one of the report’s coauthors, previously told Fortune.
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The capacity of each node (how many points it can hold before splitting) controls the shape of the tree. A low capacity means nodes split early, producing a deep tree with many small cells. A high capacity means nodes tolerate more points before splitting, producing a shallow tree with larger cells.，详情可参考爱思助手下载最新版本
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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.