一位开发者一直在探索DeepSeek 4.1模型的功能，发现它足够高效，可以将一款游戏以流畅的60 FPS移植到类似任天堂DS的设备上。这段经历让他们开始考虑在没有键盘的双屏设置下，导航复杂AI系统和数据集的潜力。开发者将这项令人满意的工作与之前的任务进行了对比，强调了他们更倾向于优化AI操作和编译器效率。 AI
影响 暗示了使用无键盘双屏设置实现新AI交互范例的潜力。
排序理由 开发者的个人探索和对AI模型能力及潜在界面设计的反思。
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AI 生成摘要 · Google Gemini · 来自 2 个来源。 我们如何撰写摘要 →
完整方法见我们的编辑标准。
That I port my friends game (which is the result of just part of a multi month exploration of both aesthetics, language, UX, games and play, and compiler stuff) to my Nintendo ds style device is just a sideshow and deepseek 4.1 flash can do it and push it to constant 60 fps. That…
What I didn’t have to work is decent css, how exactly IR passes that have been worked out a million times before are implemented, how to bind to a wasm sandbox, how to version things in a custom lstm structure, how to make a nice line shader or rendering plain html in 3d.js scene…