data1701d (He/Him)

The big 2⁵!

To be fair to macOS, it’s still Unix-based, which at least makes it less miserable for development than Windows.

I would still go for Linux any time, though.

You’re right in some ways; Windows is closer to a microkernel than Linux, though it doesn’t perfectly adhere to the philosophy of - there’s supposedly weird things like drawing calls in the Windows kernel that should be in microservice, I’ve heard

However, I wouldn’t necessarily call microkernels a detriment; in fact, Linux is a bit of an odd duck for going monolithic - modern Apple operating systems also run on a microkernel. Monolithic is an older architecture, and there are worries about the separation between components and system resilience e.g the webcam driver can’t crash the whole kernel.

In practice, it’s less of an issue, and there really aren’t any open source microkernel operating systems that are practical for production desktop and server use, which has a microkernel though there are certainly solutions for embedded systems.

QubesOS is built on Xen hypervisor, which uses a microkernel design, but Linux is then run in multiple VMs on top of it, which makes it more of a technicality in my eyes. RedoxOS also runs on a microkernel and is certainly intended as a desktop operating system, but its hardware support is limited; GNU Hurd is even more limited in that respect and not really usable.

Neat. I love Debian, but its documentation is crap! I hope this works out and I can see an improvement.

I mostly agree with you. However, I think there are some caveats to upscaling; there are so many lazy “4K AI UPSCALE BEST QUALITY” videos online that just don’t look good and were clearly put there just to get views.

However, I’ve also found they have their uses; for instance, I wanted to laser cut a TMBG Flood logo once, but there were very few good images online that traced well in Inkscape. I ended up doing an AI upscale of the least terrible one with a white background, and that traced pretty well in Inkscape.

I was messing around with HomeAssistant the other day, which uses the same speech recognition engine, and I found it to be decent.

I think including the word “OpenAI” in the post name is somewhat a misnomer that implies an encrapification not really happening to the FFMPEG project.

Yes, it is true OpenAI originally developed the Whisper model, and I hate OpenAI; however:

• Whisper is actually open source, unlike most OpenAI crap.
• FFmpeg isn’t even directly using the OpenAI version, written in Python - they’re using a port to C++ called Whisper.cpp
• We’ve been able to use speech recognition for decades, so unlike other AI models, I don’t think a speech recognition model that does it better is problem.
• You don’t even necessarily have to compile FFmpeg with Whisper support.

I get the dislike of AI, but the idea of association with OpenAI is overblown and not really reflective of reality. Now I can get not wanting to use open source projects whose developers don’t reflect your principles; however, I think this ethical issue is more indirect than may initially appear and is not a strong reason to quit using what is still the most effective media conversion tool.

No need to panic in this case. While I hate OpenAI, there’s two things to note here:

• Whisper is an open source library for speech recognition rather than generative AI, run entirely locally. It’s just using ML to do something we could already do with computers (speech recognition), but better.
• They aren’t even directly using the OpenAI version - they’re using whisper.cpp, a port of the model.

Maybe it’s because I only use stable on my laptop with Flatpaks, but honestly, Bookworm never got that crusty to me until recently - it feels like new software versions didn’t introduce a lot of must have features in the past two years. Only hiccup was I had to install the backports kernel to get Wi-Fi working.