something that i want to claim is that we don’t actually need state machines to be finite at all. in a classical automata world, you would think i am crazy, but we can have an infinite number of states, and it’s fast, practical and also guaranteed to terminate. scrap the “finite” and just call it a “deterministic automaton”. this pulls the rug out from under the feet of a lot of theoretical work in automata theory, and it’s a lot harder to grasp, but it gives us a lot of freedom to do things that are impossible in the classical framework, namely context awareness via lookarounds.
第二十九条 对涉及重大问题或者行政执法机关未按照行政执法监督督办函要求履职、未按照行政执法监督意见书要求纠正的，由行政执法监督机构提出处理建议，报本级人民政府决定；本级人民政府决定纠正的，制发行政执法监督决定书予以纠正。
，更多细节参见51吃瓜
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Even without widespread productivity gains, AI is drastically reshaping capital expenditure. The “hyperscalers”—the massive tech companies providing cloud and AI infrastructure—are driving an unprecedented spending boom. Analysts have revised their 2026 capex expectations for these tech giants to an astonishing $667 billion, a 24% increase from just the start of the earnings season and representing a 62% jump compared with 2025. Goldman Sachs anticipates that this AI spending will contribute roughly 1.5 percentage points to measured capex growth this year, though its net impact on overall GDP growth will be a minimal 0.1 to 0.2 percentage points owing to a heavy reliance on imported capital goods.
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