this post was submitted on 03 Sep 2024
1582 points (97.8% liked)
Technology
60052 readers
3344 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 2 years ago
MODERATORS
you are viewing a single comment's thread
view the rest of the comments
view the rest of the comments
Most aren't pro copyright they're just anti LLM. AI has a problem with being too disruptive.
In a perfect world everyone would have universal basic income and would be excited about the amount of work that AI could potentially eliminate...but in our world it rightfully scares a lot of people about the prospect of losing their livelihood and other horrors as it gets better.
Copyright seems like one of the few potential solutions to hinder LLMs because it's big business vs up-and-coming technology.
If AI is really that disruptive (and I believe it will be) then shouldn’t we bend over backwards to make it happen? Because otherwise it’s our geopolitical rivals who will be in control of it.
Yes in a certain sense pandora's box has already been opened. That's the reason for things like the chip export restrictions to China. It's safe to assume that even if copyright prohibits private company LLMs governments will have to make some exceptions in the name of defense or key industries even if it stays behind closed doors. Or role out some form of ubi / worker protections. There are a lot of very tricky and important decisions coming up.
But for now at least there seems to be some evidence that our current approach to LLMs is somewhat plateauing and we may need exponentially increasing training data for smaller and smaller performance increases. So unless there are some major breakthroughs it could just settle out as being a useful tool that doesn't really need to completely shock every factor of the economy.