The idea behind the Kinesis Form Split Touchpad Keyboard is pretty ergonomic: put the trackpad between the two halves and minimize travel for your mouse hand. The distance between the two puts your elbows at a comfortable distance and keeps your wrist nearly in-line with your forearms. The build is excellent, with low profile mechanical switches that feel smooth and just the right amount of clacky. The trackpad is responsive, but gestures only work with Windows computers. Even dragging and dropping doesn’t work on a Mac here, so I don’t see Apple users getting much use out of the board. I also found myself wishing for the slightest rotation of the keys — though they’re a good distance apart, a slight angle would keep my wrists fully unbent. There’s no tenting or negative tilt either, both of which could help a bit more, ergonomically speaking.
这天,她挑了身玫红色亚麻西装,黑色紧身裤勒出她双腿紧绷的曲线,一双朋克风黑色松糕凉鞋,足足将她垫高了8公分,也垫出几分气势来。这位女强人,腰板笔挺,臀部撅起,非常自信地站在人流车流哗哗飞驰的湾仔街边拦的士,指甲上贴满银色水钻的左手悬在半空中,这只手还忙不迭掏出两台手机轮换着接电话,同样镶满水钻的手机壳上有一个闪亮的红色香奈儿Logo。
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优点:输出范围在 (0,1),可以表示概率
Returning back to the Anthropic compiler attempt: one of the steps that the agent failed was the one that was more strongly related to the idea of memorization of what is in the pretraining set: the assembler. With extensive documentation, I can’t see any way Claude Code (and, even more, GPT5.3-codex, which is in my experience, for complex stuff, more capable) could fail at producing a working assembler, since it is quite a mechanical process. This is, I think, in contradiction with the idea that LLMs are memorizing the whole training set and uncompress what they have seen. LLMs can memorize certain over-represented documents and code, but while they can extract such verbatim parts of the code if prompted to do so, they don’t have a copy of everything they saw during the training set, nor they spontaneously emit copies of already seen code, in their normal operation. We mostly ask LLMs to create work that requires assembling different knowledge they possess, and the result is normally something that uses known techniques and patterns, but that is new code, not constituting a copy of some pre-existing code.