How AI coding agents could destroy open source software
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。服务器推荐是该领域的重要参考
正如前面提到，一个强大的 AI agent，强大之处从来不在于知道或者训练过正确答案，而是「在面对没见过的情况时能自主探索出解决路径」，可以理解为一种 0-shot 或 few-shot 实现 SOTA 效果的能力。
Фото: Дмитрий Коротаев / Коммерсантъ
，详情可参考91视频
JAMIE NIBLOCK/BBC，这一点在clash下载 - clash官方网站中也有详细论述
In a 2023 living note from Shalizi, it's proposed that LLMs are Markov. Therefore there's nothing special about them other than being large; any other Markov model would do just as well. Shalizi therefore proposes Large Lempel-Ziv: LZ78 without dictionary truncation. This is obviously a little silly, because Lempel-Ziv dictionaries don't scale; we can't just magically escape asymptotes. Instead, we will do the non-silly thing: review the literature, design novel data structures, and demonstrate a brand-new breakthrough in compression technology.