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.
In January 2024, CVE-2024-21626 showed that a file descriptor leak in runc (the standard container runtime) allowed containers to access the host filesystem. The container’s mount namespace was intact — the escape happened through a leaked fd that runc failed to close before handing control to the container. In 2025, three more runc CVEs (CVE-2025-31133, CVE-2025-52565, CVE-2025-52881) demonstrated mount race conditions that allowed writing to protected host paths from inside containers.
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中國外交部發言人林劍在2月6日的記者發布會上更是直接提出：「很高興看到越來越多的外國朋友有意願、有機會感受中國的發展變化，體驗中國百姓的煙火日常」。
但无论如何，如果这条路跑通，苹果最恐怖的「生态护城河」将顺势流淌进 AI 时代，与之相随的，是数十亿用户的肌肉记忆和操作习惯。这对于任何一家致力于打造 AI 硬件的厂家来说，都是致命威胁。