Now that we can build the tree, let's use it to search. Finding a specific point means starting at the root and asking: which child quadrant contains this coordinate? Then you recurse into that child and ask again. Each level of the tree cuts the search space by roughly three-quarters.
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This doesn't mean stuffing your content with random numbers. It means grounding your claims in specific, verifiable data wherever possible. Instead of writing "Our tool is widely used," you'd write "Our tool has 150,000 monthly active users with a 4.7 out of 5 satisfaction rating based on 3,200 reviews." The specificity signals credibility to AI models, which learned during training that precise data indicates reliable sources.
Lambert 还是给了 Anthropic 面子：「快速迭代加上高质量数据可以走很远，让学生模型超越老师也并非不可能。」