We deserve a better streams API for JavaScript2026-02-27
Getting Rusty At Coding#If you’ve spent enough time on programming forums such as Hacker News, you’ve probably seen the name “Rust”, often in the context of snark. Rust is a relatively niche compiled programming language that touts two important features: speed, which is evident in framework benchmarks where it can perform 10x as fast as the fastest Python library, and memory safety enforced at compile time through its ownership and borrowing systems which mitigates many potential problems. For over a decade, the slogan “Rewrite it in Rust” became a meme where advocates argued that everything should be rewritten in Rust due to its benefits, including extremely mature software that’s infeasible to actually rewrite in a different language. Even the major LLM companies are looking to Rust to eke out as much performance as possible: OpenAI President Greg Brockman recently tweeted “rust is a perfect language for agents, given that if it compiles it’s ~correct” which — albeit that statement is silly at a technical level since code can still be logically incorrect — shows that OpenAI is very interested in Rust, and if they’re interested in writing Rust code, they need their LLMs to be able to code well in Rust.
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在AI定义硬件的时代，操作系统与生态的附加值正在攀升，魅族此次转型是一次断腕求生，以绕开日渐力不从心的硬件供应链，转而聚焦其软件和用户生态。
但这个“距离感”不是天生的。首先预训练阶段，我们通过大量带真实尺度的仿真数据进行预训练，然后在模型后训练阶段，通过工业场景积累的大量高精度传感器数据去做SFT（监督学习），由此获得一个具备真实物理尺度理解能力的基座模型。