Search engines have been dropping in quality significantly within the past decade, and especially within this past year. The noise to signal ratio has been frankly painful.

Can you please share some resources you use when trying to find answers to technical questions?

For example, STEM, academia, engineering, programming, etc.

  • invertedspear@lemm.ee
    link
    fedilink
    arrow-up
    35
    ·
    edit-2
    1 year ago

    Lots of quoting for specific phrases. Instead of searching like I used to using what I feel are relevant key words:

    react table sortable

    I now have to search for something like

    “Best sortable table component for react”

    This will lead me to some bullshit listicle that will then give me at least a few items to review, then I take the best one and start typing the components name vs and seeing what auto completes after vs

    It’s all become a game and I hate it.

  • StrawberryPigtails@lemmy.astaluk.icu
    link
    fedilink
    English
    arrow-up
    10
    ·
    1 year ago

    I used to start with searching Reddit, though that has been of less help lately. Wikipedia is helpful for getting a baseline if I have no clue about a subject. Lately ChatGPT has been helpful there as well.

    And then of course, all search engines still accept boolean searches but you kinda need to 1) know the syntax the engine uses and 2) have a rough idea of what you are looking for.

    https://help.duckduckgo.com/duckduckgo-help-pages/results/syntax/

    https://support.microsoft.com/en-us/topic/advanced-search-options-b92e25f1-0085-4271-bdf9-14aaea720930

    Sorry, no Google documentation was relevant.

  • PlexSheep@feddit.de
    link
    fedilink
    arrow-up
    8
    arrow-down
    1
    ·
    1 year ago

    When doing technical things, I find the best source to always be the provided documentation. For example, when using an external crate in Rust, docs.rs or when coding a Django Webapp the official Django documentation.

    When starting out, these often contain examples or guides/tutorials.

    When that does not help, it goes back to putting relevant keywords into the search engine and hoping for the best.

  • TheAgeOfSuperboredom@lemmy.ca
    link
    fedilink
    arrow-up
    4
    ·
    1 year ago

    Wikipedia is pretty good for computer sciency stuff. I’ll often use it as a reference for things like protocols or if I need a quick refresher for some algorithm.

  • HardlightCereal@lemmy.world
    link
    fedilink
    English
    arrow-up
    6
    arrow-down
    3
    ·
    1 year ago

    For code I use chagpt for first pass questions. Then I try compiling it and see if gpt is telling the truth

    • PlexSheep@feddit.de
      link
      fedilink
      arrow-up
      3
      arrow-down
      2
      ·
      1 year ago

      I feel like this is a risky approach. LLMs are designed to spit out text that sounds good, that’s all. If it hallucinates important info away, your compiler will not always tell you.

  • Dr. Dabbles@lemmy.world
    link
    fedilink
    English
    arrow-up
    4
    arrow-down
    1
    ·
    1 year ago

    For all of those topics, I use domain specific sites. So for research I’ll look at arxiv or one of the sites that make research freely available. For programming, I’ll search language mailing lists, documentation, and examples. Searching GitHub also isn’t a bad idea, but watch out for license issues.

    Be wary of using tools like got to summarize articles or outright answer questions. There’s no guarantee it will be correct, and if you don’t know the answer you won’t know it’s wrong.