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.

Don’t give them idea :)

Yes that’s indeed a possibility.

That’s done locally. You can try training wake word models for any open assistant and see how much computing power it needs for even simple phrase.

It’s well possible and previously tv mic had been used as bugging device. The problem is, way too many security researchers look in system level software of iOS and even other components of the device that such practice will be too risky for apple (same applies for mainstream android products). Also processing realtime audio, finding potentially unrealiable topic from it and doing realtime ad is actually too much work as of today’s tech (might change sooner than you think though).

What, I think, is more practical is to use the whole query after the wake word to show ad, and potentially use other app tracking data, which is way much reliable than voice for targeting purpose. Voice data is useful for bugging purpose, primarily (ab)used by nation states and LE.

I bet in the medical procedure case mentioned in the blog the user searched/talked about that in other apps and average people aren’t good to notice these privacy leaks.

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.

Torrent a movie? You can potentially go to jail. …

Because artists are not billion doller hollywood studios with so many political lobbies and stubborn well paid lawyers, duh.

Is there such an example? Till now I didn’t come across any remotely good/interesting music generated by AI of any meaningful length. Short clips are kinda good but that needs creative composer to arrange them into music.

Many phones can work in usb host mode. I’ll see if such a rooted phone can be used to capture screen over adb with perhaps a modified scrcpy. Or run normal scrcpy in a freedesktop rootfs container. Sounds like a fun side project.

fucking scrcpy