但a16z的美国活力团队今年集体转向，旗帜鲜明地押注物理世界的重建。
Source: Computational Materials Science, Volume 266
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次日白天，三人合照时，大舅姿势僵硬，杜耀豪在一旁皱眉，露出意味复杂的微笑。在餐厅里，拌嘴再度升级为争吵。杜耀豪忍不住问：“为什么你们关系这么差？”二舅的回答直白得近乎残酷：“因为我们并不爱彼此。我们不在一起太多年了。”话音未落，大舅便以更激烈的言辞攻击杜耀豪母亲“破坏别人家庭”，母亲则反讽他是“全世界最好的”。二舅和杜耀豪只能在旁无奈劝架。
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.