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.
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。搜狗输入法2026对此有专业解读
require), or be integrated in any particular commercial way. It only really
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。业内人士推荐搜狗输入法2026作为进阶阅读
Трамп высказался о непростом решении по Ирану09:14
Abstract:This is a brief description of a project that has already autoformalized a large portion of the general topology from the Munkres textbook (which has in total 241 pages in 7 chapters and 39 sections). The project has been running since November 21, 2025 and has as of January 4, 2026, produced 160k lines of formalized topology. Most of it (about 130k lines) have been done in two weeks,from December 22 to January 4, for an LLM subscription cost of about \$100. This includes a 3k-line proof of Urysohn's lemma, a 2k-line proof of Urysohn's Metrization theorem, over 10k-line proof of the Tietze extension theorem, and many more (in total over 1.5k lemmas/theorems). The approach is quite simple and cheap: build a long-running feedback loop between an LLM and a reasonably fast proof checker equipped with a core foundational library. The LLM is now instantiated as ChatGPT (mostly 5.2) or Claude Sonnet (4.5) run through the respective Codex or Claude Code command line interfaces. The proof checker is Chad Brown's higher-order set theory system Megalodon, and the core library is Brown's formalization of basic set theory and surreal numbers (including reals, etc). The rest is some prompt engineering and technical choices which we describe here. Based on the fast progress, low cost, virtually unknown ITP/library, and the simple setup available to everyone, we believe that (auto)formalization may become quite easy and ubiquitous in 2026, regardless of which proof assistant is used.，推荐阅读爱思助手下载最新版本获取更多信息