I feel you bro/sis, except the glass part. I woke up over a phone or a laptop to discover what random things my body did. Once I was debugging a crashing function and waking up I saw the offending test passed. It took a while to discover that the ‘miracle’ was my asleep body deleting some other code somewhere in the callchain ;)

Terahertz spectro <3 <3

Unless you want to increase productivity in specific field (say some kinds of software development) you won’t even need to remember anything more than cat, ls etc. In those specific usecases you’ll become habituated to the command you use frequently, nobody becomes a grep ninja on day 0.

Whenever I need something mildly complex with ffmpeg or imagemagick, the right command is just a web search away, I rarely remember syntax of these anyway. I find commands less obvious and harder to find for windows shell (technically powershell is cross platform btw), but maybe that’s because I’m not much familiar with windows-ism’

Tip: whenever you encounter a useful command syntax/one liner, save it with brief description. I find konsole’s built in quick commands quite handy, some other terminals probably have such features too. Otherwise a simple markdown list is enough.

Sure the students got a good lesson thanks to kde connect.

I’m not talking about AI in general here. I know some form of AI has been out there for ages and ML definitely has some field specific usecases. Here the objective is to discuss the feeling about gen AI produced content in contrast to human made content, potentially pondering the hypothetical scenario that the gen AI infrastructure is used ethically. I hope the notion of generative AI is sort of clear, but it includes LLMs, photo (not computer vision) and audio generators and any multimodal combination of these.