缺点：负区间可能“死亡”，即神经元永远不激活
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过去十多年，智能手机创造了移动互联网经济的空前繁荣，而围绕这一核心硬件，也日渐形成了庞大的、成熟的、囊括高精尖制造技术的超级供应链。尤其是苹果，苹果一直占据着这条供应链的核心位置，其不但拥有优先供应权、强大的议价权，还直接影响和引导各类供应商的研发路线。，这一点在同城约会中也有详细论述
当下的AI行业普遍存在两个问题，一是产品化高度单一无法实现差异化；二是智能硬件多数只停留在用AI营销而非解决问题。
However, due to modern LLM postraining paradigms, it’s entirely possible that newer LLMs are specifically RLHF-trained to write better code in Rust despite its relative scarcity. I ran more experiments with Opus 4.5 and using LLMs in Rust on some fun pet projects, and my results were far better than I expected. Here are four such projects: