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.
36氪获悉，3月2日收盘，美股三大指数涨跌不一，道指跌0.15%，标普500指数涨0.04%，纳指涨0.36%。大型科技股多数���涨，英伟达涨近3%，微软涨超1%，苹果、特斯拉、奈飞、Meta小幅上涨；谷歌跌超1%，英特尔、亚马逊小幅下跌。热门中概股普跌，小鹏汽车、蔚来跌超3%，哔哩哔哩跌超2%，阿里巴巴、爱奇艺跌超1%，拼多多、京东、理想汽车小幅下跌。，这一点在体育直播中也有详细论述
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如今，宾阳县年发绿电超过20亿千瓦时，不仅满足本地需求，还可对外输送，从过去的能源受入县转变为绿色能源输出县。“家乡越来越美，日子就像这辣椒，越来越红火！”葛玉珍笑着说。