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Joined 3 years ago
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Cake day: September 2nd, 2023

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  • Not expensive? I just checked. It’s 8€/m for me. Which means 96€/year.

    Maybe that’s not expensive for the USAians that earn hundreds of thousands per year. But it is expensive to just remove a few ads that can be easily blocked. It won’t even stop the Google tracking, it just stops the ads on YouTube. An ad blocker will also block the tracking.






  • It’s a hyperbole. It’s not unethical. But many people don’t like it/hate it.

    1. An image is just more expensive than text. Text is usually ~1 byte per character. An uncompressed image is ~3bytes per pixel. Of course, most images are compressed, and compression does a lot of heavy lifting. But still. Also, you don’t need to uncompress plain text. More amount of bytes means more storage expense, more network expense, and worse user experience due to latency.
    2. We have plenty of tools that work for text. You can copy-paste it. You can easily edit it with just a keyboard. It is easily configurable via fonts and font sizes.
    3. Accessibility: text can be read by screen readers. Images (without alt text) cannot. Maybe there are some fancy screen readers that OCR images, but then it’s the case of point 1.
    4. Text is easily indexable. Which means that it’s searchable. If the reddit search tool were any good, it could find the post. Not for images. Alternatively, 3rd party search tools such as google and DDG work.

    There’s probably many more points.






  • You went through my comment history and quoted me, to just not read the whole quote.

    Here, I’ll help you:

    It’s fine if someone already answered with what you were going to answer. You can just upvote that guy and move on.

    As I said, there are already 3 top comments explaining to you why you’re being downvoted. I don’t need to explain myself when I mostly agree with them, I just upvote them.

    If everyone had to explain every downvote, we would have hundreds of comments on each post, and most of them would say the same thing.



  • I never used them. AI is shit, and they’re still at the “burning money” stage, wait 2-3 years and they’ll enter the enshittification stage, where it will be even worse.

    Plenty of times I’ve seen coworkers stuck at the same problem for hours. Until they come and ask for help and I give them a simple answer for their simple problem. Every time it is “well, I asked the AI and it said this thing and it didn’t work, so I asked it to fix it and it didn’t either, a bunch of times.”. I just tell them “you’re surrounded by a lot of people here that know a lot about programming, why don’t you ask any of them?”.

    For real, why use an AI at work where you are surrounded by people that can actually answer your question? It just makes no sense. Leave AI to those that can’t pay an artist for their game. Or to those that have a “game design idea that will change the world” but won’t pay a programmer even if they can’t program themselves.






  • Well yes, the LLMs are not the ones that actually generate the images. They basically act as a translator between the image generator and the human text input. Well, just the tokenizer probably. But that’s beside the point. Both LLMs and image generators are generative AI. And have similar mechanisms. They both can create never-before seen content by mixing things it has “seen”.

    I’m not claiming that they didn’t use CSAM to train their models. I’m just saying that’s this is not definitive proof of it.

    It’s like claiming that you’re a good mathematician because you can calculate 2+2. Good mathematicians can do that, but so can bad mathematicians.