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.
英國首名嬰兒透過已故捐贈者子宮移植誕生
，更多细节参见搜狗输入法2026
&& useradd -m -u 1000 -g 1000 -G wheel -s /bin/zsh -K MAIL_DIR=/dev/null ${USERNAME} \
圖像加註文字，特朗普誓言將推動醫療價格透明化，並終結「處方藥價格瘋狂上漲」的問題。他譏諷前任總統們「光說不練」，強調自己將採取實際行動解決醫療負擔。分析：特朗普發出愛國號召，卻面臨政治逆風