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Joined 2 years ago
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Cake day: September 27th, 2024

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  • At first I was bit mad to be called a dipshit, but hey, what do you say to someone who can’t grasp the concept of something being actively worked on and improved. You know, of something being developed. Lol, you’re right of course. It’s just ChatGPT 3.5 that finds all those bugs in the Linux kernel.

    You just don’t know, don’t you. You probably even don’t know the difference between a chatbot and an Agent. All you know is empty phrases and hyperbolic statements. You know, it’s fine. Get your upvotes from your ignorant, uninformed circlejerk and yell at the clouds. Good luck.







  • Shh, LLMs are quite good at stuff like this. Let them teach you. Use a command line harness like opencode or whatever tickles your fancy.

    Use a local model like Qwen 3.6 if you can, and start having fun. You might to have to learn how to use a LLM effectively though, to mitigate their disadvantages like hallucinating and their non-deterministic nature. Also, they want to do everything with curl, maybe find some alternatives to that.



  • You’re exactly right. I should have used „generate“ instead of „create“.The point is I don’t think LLMs normally use copyrighted code in a way that would hurt open source projects.

    Under the hood, they’re tokenizing the queries, looking for “clouds” of tokens that are similar to the query, then returning a sequence of tokens (with some random noise thrown in) that match what their training data says the answer should be.

    Lol, so how do humans code in comparison?