中华道藏

《中华道藏》,16开48大册, 道家经典丛书,繁体竖排,点校整理本,华夏出版社,2004年1月出版。由中国道教协会、中国社会科学院道家道教研究中心、华夏出版社三家共同筹划,获国家宗教事务局批准,国家“十五”重点图书出版 规划项目,联合全国百名专家学者,组织编修整理而成。以《正统道藏》、《万历续道藏》为底本,对原《道藏》所收各种道书作校补、标点、重新分类,并补入经书百余种,共收书1500多种,5500多卷,约6000余万字。 Source: 中华道藏

如果你是座山雕,你怎么分辨出杨子荣和栾平到底哪个是内奸? – 知乎

黑话的历史渊源流长,把它发展、壮大的,并非土匪,而是各大行会和帮派。比如漕帮和洪门。 因为古代帮众分散在各地,平时联络不便,也没个“年会”,所以不同地方的帮众,彼此之间,往往“只闻其名,不见其人”。 Source: 如果你是座山雕,你怎么分辨出杨子荣和栾平到底哪个是内奸? – 知乎

The 70% problem: Hard truths about AI-assisted coding

After spending the last few years embedded in AI-assisted development, I’ve noticed a fascinating pattern. While engineers report being dramatically more productive with AI, the actual software we use daily doesn’t seem like it’s getting noticeably better. What’s going on here? Source: The 70% problem: Hard truths about AI-assisted coding

Michael Tsai – Blog – Understanding the Limitations of Mathematical Reasoning in Large Language Models

Apple draws attention to a persistent problem in language models: their reliance on pattern matching rather than genuine logical reasoning. In several tests, the researchers demonstrated that adding irrelevant information to a question—details that should not affect the mathematical outcome—can lead to vastly different answers from the models. Source: Michael Tsai – Blog – Understanding […]

The vagus nerve orchestrates the mind-body connection | Hacker News

Human anatomy, at first glance, often seems wrongly-engineered. After you’ve worked inside dozens of people, you begin to realize that everybody is unique — and nobody is “textbook” anatomy. Who knows what all this goop even does?! Source: The vagus nerve orchestrates the mind-body connection | Hacker News

豪族的进化史 – 知乎

司马迁在《史记·货殖列传》中记载了很多富豪的事迹,其中就有通过投资土地而发财的人称州郡第一的富豪的秦阳。这些富豪操作的手法其实很简单,就是大量的从政府手里借地,然后找人兴建灌溉,变废地为良田,然后雇穷人来耕种,自己收租就好。你看这操作的手法其实和现在的房地产商其实是一个路数,唯一不同的是房地产商从银行借钱,从国家手里买地盖房,然后把房子卖给老百姓或者出租给商店。这样的手法虽然不复杂,但是前提是必须能跟政府搭上线,才能拿到开发土地的权利。而他们雇佣的穷人就是失掉了土地的流民,古书里称作“客”。这些客一开始与一般老百姓也没有什么不同,不过慢慢的就从国家管理的户籍簿上消失了,变成了依附于豪族地主的贱民。 Source: 豪族的进化史 – 知乎

A quote from Steven Johnson

The emergence of long context models is, I believe, the single most unappreciated AI development of the past two years, at least among the general public. It radically transforms the utility of these models in terms of actual, practical applications. Source: A quote from Steven Johnson