Technology

58303 readers

28 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

[email protected]

223

Reasoning failures highlighted by Apple research on LLMs (appleinsider.com)

submitted 2 weeks ago by Timely_Jellyfish_2077 to c/[email protected]

59 comments fedilink hide all child comments

you are viewing a single comment's thread
view the rest of the comments

[–] [email protected] -3 points 2 weeks ago

I'm willing to debate the potentials of AI again once they manage to do that without those "benchmarks" getting special attention in the training data.

You sound like those guys who doomed AI, because a single neuron wasn't able to solve the XOR problem. Guess what, build a network out of neurons and the problem is solved.

What potentials are you talking about? The potentials are tremendous. There are a plethora of algorithms, theoretic knowledge and practical applications where AI really shines and proves its potential. Just because LLMs currently still lack several capabilities, this doesn't mean that some future developments can't improve on that and this by maybe even not being a contemporary LLM. LLMs are just one thing in the wide field of AI. They can do really cool stuff. This points towards further potential in that area. And if it's not LLMs, then possibly other types of AI architectures.