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35 thoughts on ““AI” Has A Huge Problem”
  1. AI automated censoring of YT comments has been around for 5 years now and it is absolutely awful.
    When censorship functions get automated by computer there literally is nobody you can fight back with, argue against, or rational with against but a faceless machine that just destroys your well thoughtout book of a comment without a second thought.

  2. My biggest gripe about AI programs is their user interfaces are an absolute disaster…
    I end up on so many dialog boxes, where there is no obvious button or method to… know… what to do next… to continue the process to generate.. anything.
    I.e., where is the GO button? The Generate button. The Run button. I've entered everything into the fields, now what? You're like, are these devs… st00pld?
    If you do get it to run, 9 times out of 10 what it generates ignores your prompts entirely, or generates something that is monstrously insulting LOL.
    I'm not talking creatively hallucinating dadaist art, I'm told down with surreal wildness. I'm talking about submitting your photo and getting Medusa back with a head full of snakes. If only it could be that good. Mostly it's wtf stuff…

  3. Llms are terrible for ai. There are companies working on ai that don't rely on llms and outperform them, at least they're purported to. They've yet to release them publicly.

  4. It's teaching me audio engineering. I uploaded a textbook about surround sound mixing and the user manual for my DAW. I can ask it about techniques from the book and it gives me step by step instructions on how to implement them.

  5. I disagree with the comparison to command lines.

    A command line means interfacing directly with the computer. It's not as easy to use, but you have full control. Language model prompting is the exact opposite. It's hard to use because its to general that it can't do anything specific, and that you can't interface directly with it in any way. The same command on DOS does the same thing every time. The sane prompt in an image model will generate something different each time.

  6. The command line is still useful. My Terminal is the first app I open when I use my computer. Terminal/shell have something that no OS graphical interface was able to replicate, you can automate repetitive tasks.

    The real problem of chatbot are that natural language is to ambiguous. As a result, it will often not do what you were expecting (not an issue with a terminal btw).

    Lastly, one of the most popular app is PowerPoint. We see plots and others way to represent data all the time because it's a much more efficient way to represent data. Ofc a simple chatbot is not the right way to interface with a LLM

  7. just a few days ago i was trying to decide between obsidian and affine (yeah im new to this), installed both and played around with them. one of them has the basics of what is necessary, the other has not even that, silly stickers and useless stuff like cloud and collab and you cant organize stuff, barely any settings to tweak and a shitton of useless AI

  8. The graphical user interface is not a "better way to do things." GUIs are easy to learn but, for many applications, hard to use. If I want to resize an image, crop 200px from the left side, and then convert the final product to a png, I can fire up Affinity and click through 10 different menus, or I can write one line for Imagemagick that does all that for me in an instant. An equivalent claim would be that pantomine is a better way of communicating than using language and speech.

  9. Ai is a good help if you use it right (human pitch + prompt design + lot of human checks and corrections from all point of view + repeat the process til your work matches your standars). Problem is people is generally dumb and lazy even when consuming content, even in businesses, that's why the shity path AI is taking. Lazy people make AI create dumb work for other lazy people to see.

  10. "Invisible AI" and AI agents are not mutually exclusive since they serve different use cases. Labeling AI chatbots "useless" is just shallow analysis ๐Ÿ˜‚

  11. The use of LLMs now is it being a good knowledge source. I asked questions for topics that are hard to do research on since you have to read a lot and explanations are often lacking or conflicting. The LLMs not only read the data but analyze them and give a good answer.

  12. AI stocks are set to dominate in 2024. I prefer NVIDIA because it is well-positioned to sustain long-term growth potential and offers a platform for other AI companies. I know someone who has seen returns of over 200% from NVIDIA. I'm also open to any other recommendations you may have.

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