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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 👍










  • Research papers in creative cloud? I am guessing she is using something like InDesign or illustrator to make pdfs or maybe Acrobat? I think you need to clarify what her workflow entails to get better answers.

    But going with my assumptions, it sounds like she can get away with using some kind of Office suit instead, maybe 365? not that it would solve the enshitification of apps problem… But I do consider it a stable program both as installed apps and on the web. There are also endless tutorials and support to get if she is running into issues.

    With that said, it is probably not worth it if she is a boomer. It would take a long time to get into a new workflow and it would affect her output. If she is used to adobe she should probably stick to it.


  • Some of these are a real longshot. I’d wadger to say most of them even. Sure, some companies will try to do this. But in three years alot of those companies will realize that humans are very good at certain tasks and much more reliable than a superbot that will probably still be prone to hallucinations and also have issues with maintainance, because in the end, nobody can look at the code and say “oh here is a bug, I’ll have that sorted by Thursday”. Just look at Google, one of the most successful software companies in the world, they can barely figure out how to solve the issues with their ai search. They just blame it on being a new feature and have to manually block the ai from saying stupid shit. It has become this strange game of whack-em-all but instead of being harmless it is backed by these massive corporations that only care about their stock price going to the moon.







  • 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…