iOS Swift developer with an unhealthy amount of Android and Flutter thrown in. Cycling enthusiast. Admirer of TTRPGs, sometimes a player, often times a GM.

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Joined 1 year ago
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Cake day: June 13th, 2023

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  • I’m going to sound very negative here and it isn’t because I don’t like open source software. I use it and contribute to it. The problem with OSS apps is that they get cloned by people who don’t care about the license and repackaged with predatory subscriptions or with malware. In the case of malware these lowlifes go out on sites like Fiver and offer to pay unsuspecting developers to distribute the app. If the app is downloaded even once, that developer now faces a lifetime ban from distributing Android apps. I suspect similar things happen on the App Store. It’s just more visible in the Android forums I follow than it is in the iOS ones.

    I have seen stories of oss apps being cloned and then Apple mistakenly not letting the original dev upload updates because the app has been flagged in their system as being a spam app or built from a template. This is usually correctable with enough email to support.

    My recommendation is to keep your app closed source on both platforms. If you want to contribute to the communities, release a library or contribute to one. If you want to show How to write an app, make something minimal and trivial like a todo list. You can also create a blog.











  • samus7070@programming.devtoTechnology@lemmy.worldWhat DID Apple innovate?
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    11 months ago

    The facts are that large companies rarely innovate anything major. They tend to buy up smaller companies that have taken the risk and succeeded. Look at Google and Microsoft and tons of others. It’s a problem with growing big. The forces that make a company a successful scrappy little startup die out in the name of organizational efficiency. If you want to know what Apple innovated you have to look at what they did in the 70s or extend your criteria to companies they have bought.






  • Keep in mind these things don’t really know anything. They’re good at saying things that seem to fit the situation because that’s how they’re trained. They are like that person you may know that thinks he knows everything and will just say stuff that sounds right to them. The only difference is the ai is a lot more practiced than the human. Google’s llm may have some filtering done on the output to at least make sure that all of the books it recommends are real though it wouldn’t surprise me if there’s a fake one in the list somewhere. These things are prone to “hallucinations” which some lawyers found out the hard way.