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    Perhaps this is why?> AI Agents Are Mathematically Incapable of Doing Functional Work, Paper Finds. https://futurism.com/artificial-intelligence/ai-agents-incapable-math> "Ignore the rhetoric that tech CEOs spew onstage and pay attention to what the researchers that work for them are finding, and you’ll find that even the AI industry agrees that the tech has some fundamental limitations baked into its architecture."NOTE: This continues the bad practice of referring to 'generative AI' as 'AI'. Not all AI is LLMs…#AI #science
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    A hyper-logical Halloween#programmingIFLScience.com
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    cross-posted from: https://lemmy.dbzer0.com/post/55628224 I’ve been thinking about discovering underappreciated Lemmy instances. GitHub’s awesome-lemmy-instances used to serve a similar purpose, but it hasn’t been updated in a long time, and I haven’t found anything else like it. I got the idea from this post about finding decentralized communities in the Fediverse. I’m thinking of a Lemmy bot that tracks Lemmy instances, calculates the average number of active users and standard deviation, and identifies instances with activity below the average plus two standard deviations. It would then rank these underutilized instances by performance metrics like uptime and response time, and periodically update a curated list on Lemmy to guide users toward instances that could use more participation. I'd love feedback on how you would go about doing something like this. And specifically how to rank by performance.
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    Have you heard of @nlnet? They financially support organisations & people that contribute to an open internet for all since 1997 (& they historically contributed to the early internet in Europe in the 1980s!).If you're working on a project that "helps fix the internet through open hardware, open software, open standards, open science and open data", you can apply for a grant on their website:https://nlnet.nl/#opensource #foss #oss #tech #technology #programming #coding #openinternet