如果说亚光科技呈现的是制造端与资本扩张错位的代价，那么另一条更激进的路径——高溢价跨境并购，风险更为直接。
然而对于这些前端与后端在某种程度上已经分离的产品，我不知道什么是公平的定价模式，也不确定未来的软件定价会发生什么变化。显而易见如果没有人愿意买账，大家都去编写自己的代码而不再有任何竞争，那么定价逻辑将保持不变，但你可以想象未来人们都在定制化的前端上构建东西然后直接从底层数据库中读取数据。因为所有的记录系统都有一个数据库代表了底层的一切抽象层，那么这些类别中的任何一个是否会面临价格压力？。whatsapp对此有专业解读
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on the other side of the world。关于这个话题，WhatsApp Web 網頁版登入提供了深入分析
The inliner uses a novel hazard analysis to model the order of effects in each callee function. Nonetheless, its ability to construct the necessary safety proofs is quite limited. For example, if the calls f() and g() are simple accessors, it would be perfectly safe to call them in either order. Indeed, an optimizing compiler might use its knowledge of the internals of f and g to safely reorder the two calls. But unlike a compiler, which generates object code that reflects the source at a specific moment, the purpose of the inliner is to make permanent changes to the source, so it can’t take advantage of ephemeral details. As an extreme example, consider this start function:
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