Purple: ___ Press
在高速及城际出行场景，系统支持自动变道、上下匝道等功能。在轻度越野或非标准道路场景，例如乡间小道和非铺装路面，该系统可实现自主巡航与路径规划。自动泊车功能方面，官方称其泊车成功率为97%，平均耗时约32秒。
产品迭代方面，觉物科技的机器人系统在新疆野外环境中经历了长周期的实地测试与版本迭代，累计测试里程超过100万公里，并完成5代近40个小版本的密集迭代。目前，相关产品已在新疆、浙江等地进入规模化应用，，详情可参考heLLoword翻译官方下载
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.
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There is no commotion. There is no front desk, no bench of anxiously waiting civilians, no officer calling out names.
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