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Chao et al.: Insight Is About Searching Far — Fukai Reads
A paper on insightful problem-solving by Chao, Hsieh & Wu. Using a Japanese RAT and a simulation to quantify the search path to a solution, it shows that de-fixation is necessary for solving but is not what determines insight; the hallmark of insight is exploring the solution space over greater distances.
Feng等人：AI能创作「出人意料」的国际象棋谜题吗——Fukai 读论文
以Google DeepMind为核心的研究团队开展了一项利用AI生成创意国际象棋谜题的研究。他们以Lichess数据训练生成模型，再通过强化学习微调，将「出人意料」谜题的生成率从0.22%提升至2.5%，约提高了十倍。亮点在于他们如何将创造力量化为机器可测量的数值。
