Google translation:

9/8g The Zettelkasten technique is based on experience: You can't think without writing—at least not in contexts that require selective access to memory.

That also means: you can't think without notching differences.

There's something interesting about the translation here of "notching" occurring on an index card about ideas which can be linked to the early computer science version of edge-notched cards. Could this have been a subtle and tangential reference to just this sort of computing?

The idea isn't new to me, but in the last phrase Luhmann tangentially highlights the value of the zettelkasten for more easily and directly comparing and contrasting the ideas on two different cards which might be either linked or juxtaposed.

Link to:

• Graeber and Wengrow ideas of storytelling

• Shield of Achilles and ekphrasis thesis

• https://hypothes.is/a/I-VY-HyfEeyjIC_pm7NF7Q With the further context of the full quote including "with selective access to memory" Luhmann seemed to at least to make space (if not give a tacit nod?) to oral traditions which had methods for access to memories in ways that modern literates don't typically give any credit at all. Johannes F.K .Schmidt certainly didn't and actively erased it in Niklas Luhmann’s Card Index: The Fabrication of Serendipity.

Edge Computing: What It Is and Why It Matters0 https://en.itpedia.nl/2021/12/29/edge-computing-what-it-is-and-why-it-matters/ Edge computing is an emerging new trend in cloud data storage that improves how we access and process data online. Businesses dealing with high-frequency transactions like banks, social media companies, and online gaming operators may benefit from edge computing.

https://en.wikipedia.org/wiki/Edge-notched_card

边缘计算是一个技术呢？还只是一个市场语言，把各种技术包装起来而已？

越来越多的数据从边缘产生，而不是云。 虽然数据中心的处理能力远超边缘，但是带宽的发展跟不上边缘数据生产速度。 上云处理的代价非常之高。

文章是从整个信息行业，数据生产、带宽发展、IOT的需求，来推导出边缘计算的必要性。 但是，如果从具体行业看，似乎并不是这样的。

边缘计算最大驱动力是IOT产生的极大量数据，云计算架构不是完全合适。 IOT的关键需求包括： 响应延时、网络带宽、隐私、数据存储