Original Summary

I spent the last months building OpenPhysicsAI, an open-source physics lab: fluids, shocks, fire, heat, solids, sound, radar, orbits. I built it together with AI agents, which is also the idea behind the challenge: if AI can write physics, let's find out whose AI writes it best. There are 13 "flags", real experimental measurements that no simulator has predicted yet, plus 4 smaller trials to start with. You download it, improve it however you like (your own code, your own AI, any open-source solver), and open a pull request. A machine reruns it and scores it against the sealed measurements in a few minutes. If you win, your code gets merged and everyone gets it. The video is a space capsule at Mach 6, with the shock wave wrapping around it as it comes in. The step toward that flag is a smaller challenge that's open right now: the bow shock ahead of a sphere, where my best score is 45/100. The vortex street behind a cylinder is also open, at 65/100. I'm sure someone here can beat both. github.com/molanocortes/OpenPhysicsAI Would love your feedback, good or bad.   submitted by   /u/sebasmtl [link]   [comments]

中文概览

中文标题： 我构建了一个开源物理实验室，让你的AI与真实实验竞争

作者构建开源物理实验室OpenPhysicsAI，涵盖流体、激波、火、热、固体、声音、雷达和轨道，并与AI代理共同开发。挑战是让AI写物理：有13个真实实验测量“flag”尚无模拟器预测，另有4个小试验。参与者可下载、改进并提交PR，机器几分钟内重跑并与密封测量评分，胜出代码会合并。当前开放挑战包括球体前弓形激波（最佳45/100）和圆柱后涡街（65/100）。

  • 情报分类：开源项目与落地
  • 分类依据：明确为开源物理模拟挑战项目，含GitHub与PR协作，归projects。
  • 信息来源：Reddit · SideProject
  • 发布时间：2026/9/28 04:29:02