The pipeline was very similar to icon-to-image above: ask Opus 4.5 to fulfill a long list of constraints with the addition of Python bindings. But there’s another thing that I wanted to test that would be extremely useful if it worked: WebAssembly (WASM) output with wasm-bindgen. Rust code compiled to WASM allows it to be run in any modern web browser with the speed benefits intact: no dependencies needed, and therefore should be future-proof. However, there’s a problem: I would have to design an interface and I am not a front end person, and I say without hyperbole that for me, designing even a simple HTML/CSS/JS front end for a project is more stressful than training an AI. However, Opus 4.5 is able to take general guidelines and get it into something workable: I first told it to use Pico CSS and vanilla JavaScript and that was enough, but then I had an idea to tell it to use shadcn/ui — a minimalistic design framework normally reserved for Web Components — along with screenshots from that website as examples. That also worked.
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这是通过“二次预训练”实现的，第一次预训练，我们让模型知道各个物体是什么；第二次预训练，我们通过“热力图”让模型重点关注操作对象，让模型学会分辨“什么才是当前任务最重要的东西”。
答案并不抽象。它写在习近平主席二〇二六年新年贺词里：“柴米油盐、三餐四季，每个‘小家’热气腾腾，中国这个‘大家’就蒸蒸日上。”