I am owned by several dogs and cats. I have been playing non-computer roleplaying games for almost five decades. I am interested in all kinds of gadgets, particularly multitools, knives, flashlights, and pens.

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Cake day: July 2nd, 2023

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  • Curious Canid@lemmy.catoTechnology@lemmy.worldWhy I don't use AI in 2025
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    15 days ago

    And a great many tools have a brief period of excitement before people realize they aren’t actually all that useful. (“The Segway will change the way everyone travels!”) There are aspects of limited AI that are quite useful. There are other aspects that are counter-productive at the current level of capability. Marketing hype is pushing anything with AI in the name, but it will all settle out eventually. When it does, a lot of people will have wasted a lot of time, and caused some real damage, by relying on the parts that are not yet practical.



  • Curious Canid@lemmy.catoTechnology@lemmy.world*Permanently Deleted*
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    1 month ago

    An LLM does not write code. It cobbles together bits and pieces of existing code. Some developers do that too, but the decent ones look at existing code to learn new principles and then apply them. An LLM can’t do that. If human developers have not already written code that solves your problem, an LLM cannot solve your problem.

    The difference between a weak developer and an LLM is that the LLM can plagiarize from a much larger code base and do it much more quickly.

    A lot of coding really is just rehashing existing solutions. LLMs could be useful for that, but a lot of what you get is going to contain errors. Worse yet, LLMs tend to “learn” how to cheat at their tasks. The code they generate often has lot of exception handling built in to hide the failures. That makes testing and debugging more difficult and time-consuming. And it gets really dangerous if you also rely on an LLM to generate your tests.

    The software industry has already evolved to favor speed over quality. LLM generated code may be the next logical step. That does not make it a good one. Buggy software in many areas, such as banking and finance, can destroy lies. Buggy software in medical applications can kill people. It would be good if we could avoid that.





  • This would be more impressive if Waymos were fully self-driving. They aren’t. They depend on remote “navigators” to make many of their most critical decisions. Those “navigators” may or may not be directly controlling the car, but things do not work without them.

    When we have automated cars that do not actually rely on human being we will have something to talk about.

    It’s also worth noting that the human “navigators” are almost always poorly paid workers in third-world countries. The system will only scale if there are enough desperate poor people. Otherwise it quickly become too expensive.








  • Nothing is certain, but it looks like you will still be able to download books into local memory so you can read them. As long as the apps still work that way, it will be possible to access the book files.

    You do need a tool that can remove the DRM from the books files the Kindle uses. DeDRM used to do this nicely, but it has not been updated to handle the most recent version of Kindle DRM. It will not works on any books published since early 2024.

    There are commercial options that can remove even the latest DRM from Kindle books. I use Epubor Ultimate. It was the first to handle the most recent Kindle DRM, but I’m sure there are others by now.







  • A lot of people don’t seem to get that social media services are almost entirely about their userbases, not their companies. Facebook and Meta are unbelievably terrible, but that is where most of the people you know can be found. Switching to something else is easy, but pointless, if your reason for being there is the people.

    I have slowly convinced friends and family to begin using MeWe, but only a small number. And most of them still primarily use Facebook. At least recent events are pushing a few more away from it.