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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.
在 2024 年的 MWC 上，三星展示过一套名为 Flex Magic Pixel 的技术，这种技术原本用于车机上，当视角过大时，像素的选择性发光，让主驾看过去屏幕呈现黑色，避免过量信息打扰驾驶。，详情可参考搜狗输入法2026
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