In recent years, LLMs have shown significant improvements in their overall performance. When they first became mainstream a couple of years before, they were already impressive with their seemingly human-like conversation abilities, but their reasoning always lacked. They were able to describe any sorting algorithm in the style of your favorite author; on the other hand, they weren't able to consistently perform addition. However, they improved significantly, and it's more and more difficult to find examples where they fail to reason. This created the belief that with enough scaling, LLMs will be able to learn general reasoning.
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。业内人士推荐夫子作为进阶阅读
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貝恩補充，不確定性在多個領域尤其嚴重，包括食品與飲料、紡織品、工業產品及電子產品等，「這些行業一夜之間突然面臨出口成本大幅上升的情況」。
但从2024 年开始，这套运行多年的逻辑，正在悄然失效。时间走到 2026 年，曾经熟悉的周期剧本彻底改写，整个存储行业，正同时发生五大关键变化。在此转变之下，存储芯片产业正经历一场从“规模驱动的周期博弈”向“技术驱动的价值竞争”的根本性转向。