this post was submitted on 10 Jul 2023
327 points (91.4% liked)
Technology
59346 readers
7298 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
Uhhhh the available models are improving by leaps and bounds by the month, and there's quite a bit of tangible advancement happening every week. Even more critically the models that can be run on a single computer are very quickly catching up to those that just a year or two ago required some percentage of a hyperscaler's datacenter to operate
Unless you mean to say that the current insane pace of advancement is all built off of decades of research and a lot of the specific advancements recently happen to be fairly small innovations into previous research infused with a crapload of cash and hype (far more than most researchers could only dream of)
That's exactly what I mean! The research projects I've been 5-7 years ago had already created LLMs like this that were as impressive as GPT. I don't mean that the things that are going on aren't impressive, I just mean that there's nothing actually new. That's all. IT's similar to the previous hype wave that happened in AI with machine learning models when google was pushing deep learning. I really just want to point that out.
EDIT: Typo