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In #programming the most important things are:1) to understand what you have as input2) to know which type of result you wantEverything in the middle is just mundane code

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    @treyhunner I work for a big tech with a lot of LLM availability. It actually *has* helped my Python programming. We are also forced to use it for text generation for things like quarterly goals, employee reviews and more. It is useful but requires a critical user and is never a shortcut. That said, as a human, I value process over product, and I think LLM represents everything wrong about capitalism and how it regards human beings.
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    A hyper-logical Halloween#programmingIFLScience.com
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    Uncategorized programming bash csh ksh fish opensource fork
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    Rules* Never execute scripts from the internet* Never execute scripts as root if you do not know what they do#Programming #bash #sh #csh #ksh #fish #OpenSource #fork #bomb #forkbomb https://www.cyberciti.biz/faq/understanding-bash-fork-bomb/
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    cross-posted from: https://lemmy.dbzer0.com/post/55628224 Iโ€™ve been thinking about discovering underappreciated Lemmy instances. GitHubโ€™s awesome-lemmy-instances used to serve a similar purpose, but it hasnโ€™t been updated in a long time, and I havenโ€™t found anything else like it. I got the idea from this post about finding decentralized communities in the Fediverse. Iโ€™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.