I am currently preparing to switch to DITA. The learning curve is steeper at the beginning, but I find the overall concept of topic-oriented, information-typed authoring with content reuse very attractive.
Some people might say that writing in XML is annoying, but it isn't if you have a decent XML editor. In my case, it is Emacs nXML mode. Customisation is possible with DITA-OT [1] and plugins, and yes, it is also based on XSLT. Overall, I think DITA is an industry-proven XML powerhouse. It may be boring, but it has huge potential for anyone with advanced documentation requirements.
I would offer another perspective: homogeneity is one of the greatest catalysts for capitalism (in all its forms: surveillance, finance and suppression). Therefore, shaping it is within the remit of big tech.
Is it just me, or is it actually a new trend that the first thing on the README page is an advertisement? Could this perhaps even be related to the AI glut?
In any case, aberrations such as the excessive use of emojis and exaggeration are becoming increasingly common, which is yet another reason for me to distance myself from GitHub. For me, a README that more closely follows the conventions and minimalism of a classic man page is a sign of quality, and it could perhaps even be rendered in plain text to achieve a high signal-to-noise ratio.
I've always stayed clear of it because I don't like the idea of merging shell langauges with terminal interfaces, and also I'm not really a big fan of tools that inject AI into my workflow when I don't want them too. So I don't really have a take on it at all.
My whole experience of it is just seeing it's advertisements on every CLI tool page. Someone else here probably has something more meaningful to say about it though.
It definitely got more widespread, but I am not sure that it's related to AI. If it's a way for open source maintainers of awesome tools I use to fund their development, I am totally fine with that.
I wanted to learn APL and made some progress by writing semi-useful tools for a machine learning preprocessing pipeline using GNU APL (APL2). It was great fun and not too difficult; I just had to get used to the idea that the core data type is an array. Using the terse syntax made it feel very similar to writing mathematical notation in a student's maths class.
However, I felt that writing anything not closely related to solving mathematical matrix problems made no sense to me. Unfortunately, APL is too niche; I don't know anyone in my industry with whom I could share the tools. Nevertheless, it was a valuable learning experience.
What do you think? I think it’s fairly clear from the context they meant extinction. Ironically enough, Autocomplete could also be playing a part, if not in extinction, then at least in brainrot
