Early on, I tried using WFC for tree and building placement. Bad idea. WFC is great at local edge matching but terrible at large-scale patterns. You'd get trees scattered randomly instead of clustered into forests, or buildings spread evenly instead of gathered into villages.
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FirstFT: the day's biggest stories。业内人士推荐whatsapp作为进阶阅读
05｜从单点生成到群体智慧UniScientist 引入了一个额外的训练目标，成果聚合目标：给定同一问题的 N 份候选科研成果，模型学会融合各家优点，产出一份更完整、更稳健的最终成果。通过 Rubric 阈值的 rejection sampling 来筛选高质量参考答案，聚合能力与科研生成能力一同被训入模型。
08:16, 11 марта 2026Мир