Onno (VK6FLAB)

Anything and everything Amateur Radio and beyond. Heavily into Open Source and SDR, working on a multi band monitor and transmitter.

#geek #nerd #hamradio VK6FLAB #podcaster #australia #ITProfessional #voiceover #opentowork

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Joined 4 months ago
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Cake day: March 4th, 2024

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  • I’m going to answer your points below. Not because I want to tell you to move to Linux, but because the information you state is incorrect. Linux is not for everybody. It works for millions of people and it works for me, but that doesn’t mean it will be what you’re looking for.

    In order:

    1. There are no .exe files. Neither are there any on MacOS, iOS, Android, or anything else that isn’t Windows/DOS. To start software requires that it’s on the search path in exactly the same way that Windows requires. You can see what that is with the command: echo $PATH. Most Linux distributions have a graphical user interface which features icons and menus, but if you don’t want that, you don’t need to install it.

    2. You absolutely can, but it doesn’t work the same way as Windows, because it’s not Windows. You can for example login to Linux because the login manager started at system startup. You see a desktop after logging in because there’s a startup system for your account. The printer works because the software driving the print queue is started.

    3. Wine is a tool. It’s not a replacement for Windows. It’s not intended to be. It’s intended to help users and developers make Windows software work better on Linux.

    4. LibreOffice is one of many office suites. I have been using it as my productivity software for 25 years in my company and I’m not at all disappointed to have escaped the Microsoft Clippy, Ribbons, Office365 abominations.

    5. I have used Libre Calc for most of my numerical analysis processes. I used real tools like R and gnuplot when I was analyzing terabytes of data.

    6. The terminal is a tool. I use it daily. At any time there’s a dozen of them open. Not everyone needs a terminal, but there are plenty of things that you can only do in a terminal. A random example, list all the files in your account, group them by extension, then add up how much space each extension takes. In case you’re wondering:

    find ~ -type f | egrep -o "\.[a-zA-Z0-9]+$" | sort -u | LC_ALL=C xargs -I '%' find . -type f -name "*%" -exec du -ch {} + -exec echo % \; | egrep "^\.[a-zA-Z0-9]+$|total$" | uniq | paste - -

    Source: https://unix.stackexchange.com/a/457241

    Linux is not Windows. It never was and it never will be, neither is any other operating system. The community around Linux is helpful, the ecosystem is vibrant and it’s free. If you want to pay for support, you can. If you don’t, there’s plenty of opportunity to do your own thing.

    If you want it to be like Windows, you’re going to be very disappointed.


  • Yes, and some days it even acknowledges that there are humans living outside of New York, or even beyond the United States.

    Perhaps you might expand your game “design” team to include people outside those sitting in the same office.

    At the rate you’re going, we are enjoying it less every day.









  • DRM is one potential reason, but not the only one.

    Content is licensed under specific conditions, resolution, audio tracks, closed captions, etc. Two organisations might have licensed the same title, but not the same conditions.

    You can see this clearly during the Olympics where some channels only have secondary rights, or only certain events, but only free to air, not online, etc.

    Added to that are marketing and exclusively deals and in the end it’s anyone’s guess what you actually end up with.



  • The underlying issue with an LLM is that there is no “learning”. The model itself doesn’t dynamically change whilst it’s being used.

    This article sets out a process that gives the ability to alter the model, by “dialling up” (or down) concepts. In other words, it’s changing the balance of the weight of concepts across the whole model.

    Altering one concept is hardly “learning”, especially since it’s being done externally by researchers, but it’s a start.

    A much larger problem is that the energy consumption is several orders of magnitude larger than that of our brain. I’m not convinced that we have enough energy to make a standalone “AI”.

    What machine learning actually gave us is the ability to automatically improve a digital model of things, like weather prediction, something that took hours on a supercomputer to give you a week of forecast, now can be achieved on a laptop in minutes with a much longer range and accuracy. Machine learning made that possible.

    An LLM is attempting the same thing with human language. It’s tantalising, but ultimately I think the idea applied to language to create “AI” is doomed.