使用 JavaScript 进行统计物理的逆重力
Using Antigravity for Statistical Physics in JavaScript

原始链接: https://christopherkrapu.com/blog/2025/antigravity-stat-mech/

作者探讨了近期大型语言模型(LLM)的进步,以及这如何改变了他们个人的“基准”测试。过去,在晦涩、有记录的个人身上测试模型很有启发性,但现在模型很容易通过。他们转向了更复杂的任务:生成统计物理概念的Javascript可视化图。 作者使用谷歌的Antigravity IDE(由Gemini 3 Pro提供支持),成功地在一个小时内创建了铁磁性的Ising模型的可视化图。该模型准确地生成了数学框架和使用随机扫描吉布斯采样器的模拟。 虽然OpenAI和Anthropic的先前模型也表现良好,但Antigravity的DOM检索功能被证明特别有用。作者认为一些UI元素是不必要的,但总体上赞扬了Antigravity/Windsurf团队和谷歌员工的工作,强调了LLM能力的显著飞跃。

这个Hacker News讨论围绕着**Antigravity**,一个全新的JavaScript IDE。最初的反应褒贬不一。有些人,比如一位资深的物理学家/程序员,对使用现代工具构建复杂模拟的可访问性印象深刻,而另一些人则认为其专注于狭窄的任务和营销炒作与现实世界的开发挑战无关。 一个反复出现的主题是LLM对编码乐趣的影响——有些人觉得它们增加了压力,而另一些人则认为它们有助于自动化重复性任务。 许多评论者表达了职业上的不确定性,开玩笑地考虑了替代道路,比如自给自足的农业或自行车修理。 关于Antigravity展示的Ising模型模拟的复杂性存在争论,一些人认为这是一个标准的本科作业。 另一些人批评IDE的名称,但承认好的产品可以克服糟糕的名称。 最后,用户们讨论了他们首选的开发环境,提到了VS Code、Colab/Gemini和Claude,并注意到新的开发工具发布速度可能会放缓。
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原文

I like learning about the hidden benchmarks that everyone seems to bring out when a new large language model drops. Mine used to be asking the model about obscure but well-documented people on the internet like family members or acquaintances in the sciences or with IMDB credits. Since ~late 2024, most models are nailing that one so it’s not as interesting. Instead, I’ve moved onto Javascript-based visualizations. of statistical physics

Since Gemini 3 and Google’s Antigravity IDE were released recently (and yes, I am aware it is basically Windsurf), I wanted to give it a try with an easy one - the Ising model of ferromagnetism.

Here’s what Antigravity with Gemini 3 Pro cooked up in an hour:

A mathematical model of ferromagnetism in statistical mechanics. The grid consists of discrete variables (spins) that can be in one of two states (+1 or -1).

H(σ) = -J ∑<ij> σiσj - h ∑j σj

Simulation: This visualization uses a Random Scan Gibbs Sampler. In each step, a single spin is chosen at random and updated based on the Boltzmann distribution determined by its neighbors and the external field.

Named after physicist Ernst Ising, who solved the 1D model in his 1924 thesis.

I’ve gotten decent results out of the last crop of OpenAI and Anthropic models, but the Chrome browser extension for retrieving the DOM really helped too. It’s a great feature, and I expect Cursor to have something similar soon. I think some of the other UI features like showing subtasks and intermediate steps were a little unnecessary. Overall, great work by the former Windsurf team and the other G staff!

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