Долина рассказала об изменении своих взглядов после ситуации с квартирой08:37
The fact that this worked, and more specifically, that only circuit-sized blocks work, tells us how Transformers organise themselves during training. I now believe they develop a genuine functional anatomy. Early layers encode. Late layers decode. And in the middle, they build circuits: coherent, multi-layer processing units that perform complete cognitive operations. These circuits are indivisible. You can’t speed up a recipe by photocopying one step. But you can run the whole recipe twice.
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在合理的大模型商业化逻辑里，Token的费用一部剧2000-5000元，但这只是基础。真正的核心在于如何提高Token消耗的ROI（投资回报率），用最顶尖的优质IP和好故事作为内核，去赋予AI技术真正的商业生命力。
These are massive, legacy-heavy codebases where much of the code predates modern C++ practices. Code written with raw new/delete, C-style arrays, char* string manipulation, manual buffer management — the full catalogue of pre-C++11 antipatterns. And there’s a conflation problem: the studies report “C/C++” as a single category. The Windows kernel is largely C, not C++. Android’s HAL and native layer are heavily C. Modern C++ with RAII, smart pointers, and containers is a fundamentally different beast than malloc/free C code, but the statistic treats them as one.