毕竟，在真正的金矿被发现之前，卖铲子的依然会赚钱——只是不再享有过去那种非理性的“信仰溢价”而已；而随着金矿逐步显现，能实现商业化落地的下游企业，才能将成为未来的核心增长点。
The x86 protection model is notoriously complex, with four privilege rings, segmentation, paging, call gates, task switches, and virtual 8086 mode. What's interesting from a hardware perspective is how the 386 manages this complexity on a 275,000-transistor budget. The 386 employs a variety of techniques to implement protection: a dedicated PLA for protection checking, a hardware state machine for page table walks, segment and paging caches, and microcode for everything else.
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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.
As for soulmates, the science points to a paradox. The people who end up with relationships that feel uniquely "meant to be" are often the ones who stopped waiting for fate, turned towards the flawed person in front of them and said, in effect: shall we make something of this?