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Joined 7 months ago
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Cake day: November 17th, 2024

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  • Sorry, the language my original post might seem confrontational, but that is not my intension; I m trying to find value in LLM, since people are excited for it.

    I am not a professional programmer nor do I program any industrial sized project at the moment. I am a computer scientist, and my current research project do not involve much programming. But I do teach programming to undergrad and master students, so I want to understand what is a good usecase for this technology, and when can I expect it to be helpful.

    Indeed, I am frustrated by this technology, and that might shifted my language further than I intended to. When everyone is promoting this as a magically helpful tool for CS and math, yet I fail to see any good applications for either in my work, despite going back to it every couple month or so.


    I did try @eslint/migrate-config, unfortunately it added a good amount of bloat and ends up not working.

    So I just gived up and read the doc.


  • This is interesting, I would be quite impressed if this PR got merged without additional changes.

    I am genuinely curious and no judgement at all, since you mentioned that you are not a rust/GTK expert, are you able to read and and have a decent understanding of the output code?

    For example, in the sway.rs file, you uncommented a piece of code in get_all_windows function, do you know why it is uncommented?


  • Then I am quite confused what LLM is supposed to help me with. I am not a programmer, and I am certainly not a TypeScript programmer. This is why I postponed my eslint upgrade for half a year, since I don’t have a lot of experience in TypeScript, besides one project in my college webdev class.

    So if I can sit down for a couple hour to port my rather simple eslint config, which arguably is the most mechanical task I have seen in my limited programming experience, and LLM produce anything close to correct. Then I am rather confused what “real programmers” would use it for…

    People here say boilerplate code, but honestly I don’t quite recall the last time I need to write a lot of boilerplate code.

    I have also tried to use llm to debug SELinux and docker container on my homelab; unfortunately, it is absolutely useless in that as well.


  • The image is taken from Zhihu, a Chinese Quora-like site.

    The prompt is talking about give a design of a certain app, and the response seems to talk about some suggested pages.

    But this in general aligns with my experience coding with llm. I was trying to upgrade my eslint from 8 to 9, and ask chatgpt to convert my eslint file, and it proceed to spit out complete garbage.

    I thought this is a good task for llm because eslint config is very common, and the transformation is very mechanical, but it just cannot do it. So I proceed to read the documents and finished the migration in a couple hour…







  • My conspricy theory is that early LLMs have a hard time figuring out the logical relation between sentenses, hence do not generate good transitions between sentences.

    I think bullet point might be manually tuned up by the developers, but not inheritly present in the model; because we don’t tend to see bullet points that much in normal human communications.






  • This is actually the case, according to some vegan YouTuber. From what I understand (and according to these people) veganism is about harm reduction, so they shouldn’t consume anything produced by exploitation or animal (including human) suffering.

    Not consuming animal product should be technically “plant-based” or “vegan diet”.

    I do applaud their effort, and feel they are certainly stepping towards the right direction, but it would probably take a long time for society to accept this definition.

    On the other hand, I feel it is fine to have different definitions for the same word. I think even among the vegan community, there must be many definitions of “animal suffering”. I feel it is okay as long as we are doing the best we can do.