The performance characteristics are attractive with incredibly fast cold starts and minimal memory overhead. But the practical limitation is language support. You cannot run arbitrary Python scripts in WASM today without compiling the Python interpreter itself to WASM along with all its C extensions. For sandboxing arbitrary code in arbitrary languages, WASM is not yet viable. For sandboxing code you control the toolchain for, it is excellent. I am, however, quite curious if there is a future for WASM in general-purpose sandboxing. Browsers have spent decades solving a similar problem of executing untrusted code safely, and porting those architectural learnings to backend infrastructure feels like a natural evolution.
Web fonts change the equation. Sites that serve custom web fonts via @font-face may inadvertently reduce or increase confusable risk depending on the font’s glyph design. A display font with distinctive Cyrillic letterforms would lower the danger rate. A geometric sans-serif that harmonises Latin and Cyrillic would raise it. Neither outcome is typically considered when choosing a web font.
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./build/parakeet model.safetensors audio.wav --vocab vocab.txt --timestamps
// 当前元素入栈：成为「左侧元素」的候选更大值（易错点4：别漏写这一步）
// Oops — forgot to call reader.releaseLock()