this post was submitted on 24 Feb 2024
238 points (92.2% liked)
Technology
59666 readers
3401 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
I agree 100%, and I think Zuckerberg's attempt at a massive 340,000 of Nvidia’s H100 GPUs AI based on LLM with the aim to create a generel AI sounds stupid. Unless there's a lot more to their attempt, it's doomed to fail.
I suppose the idea is something about achieving critical mass, but it's pretty obvious, that that is far from the only factor missing to achieve general AI.
I still think it's impressive what they can do with LLM. And it seems to be a pretty huge step forward. But It's taken about 40 years from we had decent "pattern recognition" to get here, the next step could be another 40 years?
I think that Zuckerberg's attempt is a mix of publicity stunt and "I want [you] to believe!". Trying to reach AGI through a large enough LLM sounds silly, on the same level as "ants build, right? If we gather enough ants, they'll build a skyscraper! Chrust me."
In fact I wonder if the opposite direction wouldn't be a bit more feasible - start with some extremely primitive AGI, then "teach" it Language (as a skill) and a language (like Mandarin or English or whatever).
I'm not sure on how many years it'll take for an AGI to pop up. 100 years perhaps, but I'm just guessing.