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Cake day: July 8th, 2023

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  • Probably will be most notable for personal desktops with increased software support of consumer hardware. Mainstream only cares about what OS is pre installed, linux users are 99,9% advanced users just by the fact that they take the time to install an OS. Company adoption have the same issue, companies use what have worked before and what most employees are used to… and of course, what is pre installed on the desktops they buy.

    Desktop linux is unlikely to happen at any point, just by the above facts. I am also not convinced it is the first choice for most tasks on a desktop. Servers and mobile it works great and other LTS hardware. With that said, I think when governments adopt linux we will definitely see an actual market and ecosystem develop… 2030? Maybe before, because countries will wake up and release its not the best idea to share all their data with MS. I could see something like Trump becoming president again, could actually spur on the adoption rate.

    Sorry for the ramble, interesting question 👍










  • Thank you for the nice write-up. I agree that it is great and whatis very impressive. Also to see old hardware not going to a landfill. I have definitely “fixed” up friend and elderlies computers by installing Ubuntu, and more lately I tried fedora silver blue for a friend. And I too have second hand ThinkPads, a P53 6 core, 64gb, rtx3000 and a t440 and then my work machine is a xps13 (not secondhand). It runs great on all of these and linux is a real workhorse.

    I think my point of view come from windows “techies” that seem to be completely oblivious to Linux outside of running it on a Raspberry pi or the like, and linux is only as a way to “save” a computer because windows can’t run on it anymore. To me, Linux is a first choice for server, workstations, home use, gaming… really anything, but I might be biased… like most of us in this forum 😅😉







  • Text to video, automated driving, object detection, language translations. I might be misusing the term, you could argue that the word is describing what LLMs commonly does and that is where the term is derived from. You can also argue that AI is sometimes correct and the human have issues identifying the correct answer. But In my mind it is much the same just different applications. A car completely missing a firetruck approaching or a LLM just spewing out wrong statements is the same to me.



  • This is already worked in through mathematics, it is its own mathematical field. We can optimize packaging through formulas that are very fast and accurate. No need to train a AI for that. Especially not for space flight, AI are prone to hallucinations that is not something you want anywhere near any space mission that requires precision and predictability. I believe Johannes Kepler started this field in the 1600s, it is not something new. It is definitely a complex problem, but not new and not unheard of. Amazon is not exactly inventing something new and amazing here…