this post was submitted on 08 Dec 2024
458 points (94.4% liked)
Technology
61227 readers
4241 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 other!
- 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
- Accounts 7 days and younger will have their posts automatically 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
People writing off AI because it isn’t fully replacing humans. Sounds like writing off calculators because they can’t work without human input.
Used correctly and in the right context, it can still significantly increase productivity.
Except it has gotten progressively worse as a product due to misuse, corporate censorship of the engine and the dataset feeding itself.
Yeah, the leash they put it on to keep it friendly towards capitalists is the biggest thing holding it back right now.
'Jesse, what the fuck are you talking about'.jpg
No, this is the equivalent of writing off calculators if they required as much power as a city block. There are some applications for LLMs, but if they cost this much power, they're doing far more harm than good.
Imagine if the engineers for computers were just as short sighted. If they had stopped prioritizing development when computers were massive, room sized machines with limited computing power and obscenely inefficient.
Not all AI development is focused on increasing complexity. Much is focused on refinement, and increasing efficiency. And there’s been a ton of progress in this area.
This article and discussion is specifically about massively upscaling LLMs. Go follow the links and read OpenAI's CEO literally proposing data centers which require multiple, dedicated grid-scale nuclear reactors.
I'm not sure what your definition of optimization and efficiency is, but that sure as heck does not fit mine.
Now that DeepSeek has been released and proven drastically more efficient, just wanted to pop back in and gloat.
Hope this causes you to reexamine your beliefs and biases. Try reading more next time.
Sounds like you’re only reading a certain narrative then. There’s plenty of articles about increasing efficiency, too.