That I agree with. Microsoft drafted the recommendation to use it for local networks, and Apple ignored it or co-opted it for mDNS.
That I agree with. Microsoft drafted the recommendation to use it for local networks, and Apple ignored it or co-opted it for mDNS.
Macs aren’t the only thing that use mDNS, either. I have a host monitoring solution that I wrote that uses it.
Yeah, that’s why I started using .lan.
I was using .local, but it ran into too many conflicts with an mDNS service I host and vice versa. I switched to .lan, but I’m certainly not going to switch to .internal unless another conflict surfaces.
I’ve also developed a host-monitoring solution that uses mDNS, so I’m not about to break my own software. 😅
Coincidentally, I just found this other thread that mentions EasyEffects: https://programming.dev/post/17612973
You might be able to use a virtual device to get it working for your use case.
Thank you! I was struggling to remember the proposal name.
Google was working on a feature that would do just that, but I can’t recall the name of it.
They backed down for now due to public outcry, but I expect they’re just biding their time.
Not with this announcement, but it was.
It depends on the model you run. Mistral, Gemma, or Phi are great for a majority of devices, even with CPU or integrated graphics inference.
Show me a music store I can purchase music from on my phone through an app, and I’ll purchase it.
I’m also going to push forward Tilda, which has been my preferred one for a while due to how minimal the UI is.
Yeah - the operating system (or perhaps the display hardware itself, not sure) has to stretch each software pixel to a fractional amount of larger hardware pixels. In the case of upscaling 720p to 1080p, each 720p software pixel has to stretch to 1.33 hardware pixels. This forces blending to occur, which makes the image less sharp.
The worst part of this in my opinion is reading text.
You also lose integer scaling if you need to run a game at common resolutions below 1080p. (720p/800p, etc.)
Or maybe just let me focus on who I choose to follow? I’m not there for content discovery, though I know that’s why most people are.
I was reflecting on this myself the other day. For all my criticisms of Zuckerberg/Meta (which are very valid), they really didn’t have to release anything concerning LLaMA. They’re practically the only reason we have viable open source weights/models and an engine.
That’s the funny thing about UI/UX - sometimes changing non-functional colors can hurt things.
My go-to solution for this is the Android FolderSync app with an SFTP connection.
Systemd was created to allow parallel initialization, which other init systems lacked. If you want proof that one processor core is slower than one + n, you don’t need to compare init systems to do that.
It would be extremely barebones, but you can do something like this with Pandoc.