this post was submitted on 21 Oct 2024
931 points (97.3% liked)
Technology
59675 readers
3243 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
If bitnet takes off, that’s very good news for everyone.
The problem isn’t AI, it’s AI that’s so intensive to host that only corporations with big datacenters can do it.
The fuck is bitnet
https://www.microsoft.com/en-us/research/publication/bitnet-scaling-1-bit-transformers-for-large-language-models/ use 1 bit instead of 8 or 16, yay performance gainz
Jevon's paradox says that efficiency will increase use. Microsoft is buying a nuclear power plant for AI shit. If they can train a trillion-parameter model for one-thousandth the cost... they will instead train a quadrillion-parameter model.
Or I guess if they're smart they'll train a trillion-parameter model longer. Or iterate like crazy, when training takes hours instead of months.
So will the return of the flag conclude the adventures of ressource usage in computers?
What star said, but what it also does is turn hard matrix multiplication into simple addition.
Basically, AI will be hilariously easy to run compared to now once ASICs start coming out, thought it will run on CPUs/GPUs just fine.