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Cake day: June 11th, 2023

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  • Luddites weren’t against new technology, they were against the aristocrats using new technology as a tool or excuse to oppress and kill the labor class. The problem is not the new technology, the problem is that people were dying of hunger and being laid off in droves. Destroying the machinery, which almost always they were the operators of when working on said aristocrat’s factories, was an act of protest, just like a riot, or a strike. It was a form of collective bargaining.



  • Well, you see, that’s the really hard part of LLMs. Getting good results is a direct function of the size of the model. The bigger the model, the more effective it can be at its task. However, there’s something called compute efficient frontier (technical but neatly explained video about it). Basically you can’t make a model more effective at their computations beyond said linear boundary for any given size. The only way to make a model better, is to make it larger (what most mega corps have been doing) or radically change the algorithms and method underlying the model. But the latter has been proving to be extraordinarily hard. Mostly because to understand what is going on inside the model you need to think in rather abstract and esoteric mathematical principles that bend your mind backwards. You can compress an already trained model to run on smaller hardware. But to train them, you still need the humongously large datasets and power hungry processing. This is compounded by the fact that larger and larger models are ever more expensive while providing rapidly diminishing returns. Oh, and we are quickly running out of quality usable data, so shoveling more data after a certain point starts to actually provide worse results unless you dedicate thousands of hours of human labor producing, collecting and cleaning the new data. That’s all even before you have to address data poisoning, where previously LLM generated data is fed back to train a model but it is very hard to prevent it from devolving into incoherence after a couple of generations.










  • dustyData@lemmy.worldtoGames@lemmy.worldWhy are most mobile games trash?
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    12 days ago

    Have you ever sat in front of a casino’s slot machine. They are also trash, awful and disgusting. But they’re also engineered with the worst dark pattern psychology to manipulate any human being that sits on it to keep playing and be so addictive that people will burn their money just to keep playing. The qualities of fun, and additive are independent of each other. A game can be very addictive and really bad at the same time. Unlike slot machines, they have the advantage of constantly sitting in your pocket and going with you everywhere you go.


  • That’s a poor understanding of the situation. Nothing in the licensing changed. The SDK has always been the proprietary business to business secrets management product. The client integrates with and can use that SDK to provide the paid service to businesses. The client and the server side management of password has always been and still is FOSS.

    This was apparently an accidental change in the build code (not the client code, just the building scripts) that required the inclusion of the SDK to build the client when actually it has never and doesn’t really need any of that code. It prevented building the client without accepting the SDK license. Which it shouldn’t.

    This was fixed and some things will be put in place so it doesn’t happen again. Nothing in the licensing scheme changed, at all. This is not a catastrophic enshittification event. A Dev was just being lazy and forgot to check the dependencies on the build chain before their commit.