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Cake day: July 1st, 2023

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  • If something like that were to work, a lot of effort would need to be put into minimizing the UI friction. I could see something like: uploaders add topic tags to their videos, and an AI runs in the background to generate and apply new tags based on the content (most people would not understand how to properly tag content). An AI would also be used to create a graph of related tags, where similar or closely related tags are nodes joined by an edge. Then, on first login the user is prompted to pick some tags to start with. Over time, the client uses the adjacent tag graph to fine-tune users’ tags, on device. The idea here is that we could get a decent algorithm that can recommend new stuff based on what the user watches, but keep that data processing of user-specific content local. Then, the client would also have an option the user could enable that would contribute their client’s tag information back to the global tag graph, improving the global tag graph for everybody. This data could also be combined with other users data at the instance level to somewhat anonymize the data, assuming it is a large multi-user instance. If you were to host a single user instance, you’d probably not want to contribute to the global tag graph unless you’re ok with your tag preferences being public.




  • bamboo@lemm.eetoFediverse@lemmy.worldHow do you guys feel about Loops?
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    1 month ago

    The algorithms are what makes these services. Most interactions aren’t searching and selecting something specific or intentional, they’re just opening a fire hose and expecting the algorithm to pick content they find entertaining for them. It requires the algorithm to have a lot of information, both about the specific user, and about similar users.


  • I use it to describe a variety of things, but usually it’s related to servers not being able to handle load rather than an outright crash, but I’m not strict about it. Laos balancer failures could be it, could also just be that something was really I efficient but wasn’t noticed until it went into production.




  • Antivirus programs are way too inaccurate to be used authoritatively, especially for developers. It’s not uncommon that some virus will use a well-known open source library or packaging tool, and then the antivirus decides that any binary with that same library or stub from that packaging tool must also be a virus. When your program depends on it, if you can’t turn the AV off or make an exception, you’re just fucked. Also, programming is an iterative process. Make a small change, test, repeat. Requiring that developers upload and wait for a scan from some third party for software that they compiled locally and have no intent to distribute is a giant waste of everybody’s time, especially the developer’s. It’s a huge drag on productivity for the sake of bureaucracy.