Москвичей предупредили о резком похолодании09:45
如果你在两年前问一个硅谷投资人，AI最核心的竞争壁垒是什么，答案几乎是一致的：算力。谁有更多的GPU，谁就有更强的模型，谁就赢了。
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One challenge is having enough training data. Another is that the training data needs to be free of contamination. For a model trained up till 1900, there needs to be no information from after 1900 that leaks into the data. Some metadata might have that kind of leakage. While it’s not possible to have zero leakage - there’s a shadow of the future on past data because what we store is a function of what we care about - it’s possible to have a very low level of leakage, sufficient for this to be interesting.，推荐阅读快连下载安装获取更多信息
These optimizations are difficult to implement, frequently error-prone, and lead to inconsistent behavior across runtimes. Bun's "Direct Streams" optimization takes a deliberately and observably non-standard approach, bypassing much of the spec's machinery entirely. Cloudflare Workers' IdentityTransformStream provides a fast-path for pass-through transforms but is Workers-specific and implements behaviors that are not standard for a TransformStream. Each runtime has its own set of tricks and the natural tendency is toward non-standard solutions, because that's often the only way to make things fast.