这份极致的艺术表达并未给塔可夫斯基带来预期中的荣誉。在当届戛纳电影节上，塔可夫斯基最终与布列松共同获得最佳导演奖，与期盼多年的金棕榈奖失之交臂。塔可夫斯基在日记中详细记录了电影节上的种种遭遇，他认定这场惜败是苏联当局的刻意操作，是叶尔马什任命苏联导演邦达尔丘克担任评委一手策划的结果：“邦达尔丘克一直在跟《乡愁》较劲。显然，他被派到戛纳就是为了否定这部电影。”字里行间满是失望和愤怒。也正是这场戛纳的失意，击碎了他回国继续电影创作的信心，让他在日记中写下了那个艰难的决定：永远不再返回苏联。
（三）未依法公开原子能安全监督管理、环境影响评价等方面信息的；，详情可参考51吃瓜
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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.
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