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Joined 1 year ago
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Cake day: June 11th, 2023

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  • It’s just how machine learning has been since ever.

    We only know the model’s behavior by testing, hence we only know more or less the behavior in relation to the amount of testing that was done. But the model internals has always been a black box of numbers that individually mean nothing and if tracked which neurons fire here and there it’ll appear just random, because it probably is.

    Remember the machine learning models aren’t carefully designed, they’re just brute-force trained for a long time and have the numbers adjusted again and again whenever the results look closer or further away from the desired output.



  • But the thing with users is that their learning depends on their motivation. Just like we all, they don’t care about something until it becomes an inconvenience and then there’s a reason to learn.

    So as long as there are resources to learn when you need it, I don’t think that’s a problem.

    But it is unreasonable to expect the average users to care about what the file structure should be when current computers can search through anything in 1 second and they think it’s good enough.


  • I’ve been reading the book “A Small Matter of Programming” which discusses a bit end users relationships with computers.

    I think people who are into computers get surprised to know most people just don’t care about how computers work and they shouldn’t have to. They want software that is easy to use and allows them to complete their task. Ex: a spreadsheet is an incredibly powerful software that hides anything about how computers work but still allow users to create multiple different “apps” by effectively programming.

    Most of the “decaying” tech skills people say are actually stuff people don’t need to know nowadays. Everything is an abstraction anyway, and most people using even desktop computers aren’t aware of how the graphics software is rendering the screen, for example.