感觉 industry 做的事情就是，雇足够多的人来进行 short-term thinking

https://www.melconway.com/Home/Committees_Paper.html
Organizations, who design systems, are constrained to produce designs which are copies of the communication structures of these organizations.

Ref:

准备下一次网友面基局。这个春假各位都在哪里？

This is an instructive origin story for a field of research. The field begins with a focus on a basic and well-defined underlying mechanism—the activity of a single neuron. Then, as the technology scales, it grows in opacity; as the scope of the field’s success widens, so does the ambition of its claims. The contrast with climate modelling is telling. Climate models have expanded in scale and reach, but at each step the models must hew to a ground truth of historical, measurable fact. Even models of covid or elections need to be measured against external data. The success of deep learning is different. Trillions of parameters are fine-tuned on larger and larger corpora that uncover more and more correlations across a range of phenomena. The success of this data-driven approach isn’t without danger. We run the risk of conflating success on well-defined tasks with an understanding of the underlying phenomenon—thought—that motivated the models in the first place.
Part of the problem is that, in many cases, we actually want to use models as replacements for thinking. That’s the raison d’être of modelling—substitution. It’s useful to recall the story of Icarus. If only he had just done his flying well below the sun. The fact that his wings worked near sea level didn’t mean they were a good design for the upper atmosphere. If we don’t understand how a model works, then we aren’t in a good position to know its limitations until something goes wrong. By then it might be too late.
https://www.newyorker.com/culture/annals-of-inquiry/how-much-of-the-world-is-it-possible-to-model

During employee town hall meetings at GE, some of the employees would express concern that the company was too focused on the short term. Jack Welch, then CEO, was fond of replying, “Long term is just a series of short terms.” When employees express such a concern to a CEO, more likely than not what they are really asking is: “What’s this all for?” What is all our hard work contributing to beyond the metrics and material rewards? Welch’s answer revealed that, to him, there was no higher cause at play. The goal was simply to perform, perform again and perform again

https://twitter.com/ThatGuyPyros/status/1750621477936734484

所谓 AI 时代之后，大厂可能会把原先产品设计中语言的进步放在 AI 功能之中。可能把先进的但是完全应该形式化的语言放在 AI 功能里故意不形式化，表面效果是逼你买高级版，但是危险的是将现存的生产力语言逐步去除形式化。更严重的后果可能是阻止语言的创新，因为 AI 帮助完成了所有肤浅的语言问题，人意识不到语言还有创造空间。这甚至会影响 GUI 视觉语言。

看了看后现代建筑，觉得这样发展下去应该做成这样子。

试戴了 Vision Pro。
舒适度不太行，沉浸效果很好，交互效果普通，可能需要习惯一下。比如脑子总是试图让眼手同步移动，但是其实不用移动手。
没试用键盘。（

视频拜年的时候，6 个框 14 个人混乱广播。
微信可以点按视频框将其放大，要是能聚焦声音就更好了。

这下子 the security you demanded is now mandatory 咧

租的车，每次行程都会计算燃油利用效率，可以刷新先人的纪录，像街机游戏一样。（

从纯技术角度出发，无线车钥匙设计有严重缺陷，竟然不能防重放攻击。
如果没有用任何密码学，显然是不可接受的。
如果用了密码学，每次发送的数据也必须添加某种 nonce，比如 counter 比如时间戳。

这下集体诉讼了