this post was submitted on 03 Apr 2024
961 points (99.4% liked)
Technology
59656 readers
3044 users here now
This is a most excellent place for technology news and articles.
Our Rules
- Follow the lemmy.world rules.
- Only tech related content.
- Be excellent to each another!
- Mod approved content bots can post up to 10 articles per day.
- Threads asking for personal tech support may be deleted.
- Politics threads may be removed.
- No memes allowed as posts, OK to post as comments.
- Only approved bots from the list below, to ask if your bot can be added please contact us.
- Check for duplicates before posting, duplicates may be removed
Approved Bots
founded 1 year ago
MODERATORS
you are viewing a single comment's thread
view the rest of the comments
view the rest of the comments
Not all of those are the same thing. AI upscaling for compression in online video may not be any worse than "dumb" compression in terms of loss of data or detail, but you don't want to treat a simple upscale of an image as a photographic image for evidence in a trial. Sport replays and hawkeye technology doesn't really rely on upscaling, we have ways to track things in an enclosed volume very accurately now that are demonstrably more precise than a human ref looking at them. Whether that's better or worse for the game's pace and excitement is a different question.
The thing is, ML tech isn't a single thing. The tech itself can be used very rigorously. Pretty much every scientific study you get these days uses ML to compile or process images or data. That's not a problem if done correctly. The issue is everybody is both assuming "generative AI" chatbots, upscalers and image processers are what ML is and people keep trying to apply those things directly in the dumbest possible way thinking it is basically magic.
I'm not particularly afraid of "AI tech", but I sure am increasingly annoyed at the stupidity and greed of some of the people peddling it, criticising it and using it.