You overestimate the technical competence and attention span of the current generation of kids - they barely know how to use a mouse.

IMO if any kid these days manages to do enough work to figure out how to do anything on Linux, they’re probably well ahead of the pack and deserve to play their game as a reward 😅

Nice work, you did a good thing 😊

Perhaps deleting messages on Lemmy doesn’t work how you think?

This is very realistic and fair, I don’t subscribe to the ideologist out of touch bs personally even though I first compiled Gentoo 20 years ago.

I run Mac as my daily driver for convenience and stability but use the terminal for a ton of things and SSH into various Linux servers for my work. I run a VM in Parallels for the handful of apps which only work on windows, and generally avoid them unless they’re the only option.

Basically, what I’m saying is even if you’re dependent on some Windows only apps, you might find you have a better quality of life by making those the exception (running them in a VM) but using a more stable OS as the underlying OS.

I’ve built a couple of useful products which leverage LLMs at one stage or another, but I don’t shout about it cos I don’t see LLMs as something particularly exciting or relevant to consumers, to me they’re just another tool in my toolbox which I consider the efficacy of when trying to solve a particular problem. I think they are a new tool which is genuinely valuable when dealing with natural language problems. For example in my most recent product, which includes the capability to automatically create karaoke music videos, the problem for a long time preventing me from bringing that product to market was transcription quality / ability to consistently get correct and complete lyrics for any song. Now, by using state of the art transcription (which returns 90% accurate results) plus using an open weight LLM with a fine tuned prompt to correct the mistakes in that transcription, I’ve finally been able to create a product which produces high quality results pretty consistently. Before LLMs that would’ve been much harder!