钱先生摘抄《女人不败》的内容，见《钱锺书手稿集·外文笔记》第21册编号为121的笔记本。笔记中，钱先生摘抄原文（偶有节略、撮述）共27处。检核《女人不败》原书，书中画线共95处，而钱先生摘抄的那27处悉数包含其中。不用说，这验证了我的猜想：此书正是钱先生读过的那一本——世上断没有那么巧合的，会有第二个人读这本小说，跟钱先生会心处如此雷同。
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The same goes for asynchronous communication between modules. Especially when considering modules that are run in the same process, introducing async communication might cause us problems that are intrinsic to Distributed Systems.。业内人士推荐体育直播作为进阶阅读
Compute grows much faster than data . Our current scaling laws require proportional increases in both to scale . But the asymmetry in their growth means intelligence will eventually be bottlenecked by data, not compute. This is easy to see if you look at almost anything other than language models. In robotics and biology, the massive data requirement leads to weak models, and both fields have enough economic incentives to leverage 1000x more compute if that led to significantly better results. But they can't, because nobody knows how to scale with compute alone without adding more data. The solution is to build new learning algorithms that work in limited data, practically infinite compute settings. This is what we are solving at Q Labs: our goal is to understand and solve generalization.