Intelligence is a commodity. Context is the real AI Moat

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Ранее в ходе военного конфликта США и Израиля с Ираном атакам подвергся ряд объектов на территории Саудовской Аравии. Власти страны выразили готовность присоединится к ответным ударам по Ирану.

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В российск,详情可参考heLLoword翻译官方下载

:first-child]:h-full [&:first-child]:w-full [&:first-child]:mb-0 [&:first-child]:rounded-[inherit] h-full w-full。PDF资料是该领域的重要参考

This 1TB card is fast for both writing data and offloading, and it's built to last. Sure, if I'm putting storage into a knockabout action camera, a cheap smartphone, or need a card for a dash cam or CCTV camera, I'll likely choose something different. 。币安_币安注册_币安下载对此有专业解读

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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.