this post was submitted on 08 Jun 2025
118 points (92.8% liked)
Apple
18956 readers
283 users here now
Welcome
to the largest Apple community on Lemmy. This is the place where we talk about everything Apple, from iOS to the exciting upcoming Apple Vision Pro. Feel free to join the discussion!
Rules:
- No NSFW Content
- No Hate Speech or Personal Attacks
- No Ads / Spamming
Self promotion is only allowed in the pinned monthly thread
Communities of Interest:
Apple Hardware
Apple TV
Apple Watch
iPad
iPhone
Mac
Vintage Apple
Apple Software
iOS
iPadOS
macOS
tvOS
watchOS
Shortcuts
Xcode
Community banner courtesy of u/Antsomnia.
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
I'm a bit torn on this. On one hand: obviously LLMs do this, since they're essentially just huge pattern recognition and prediction machines, and basically any person probing them with new complex problems has made that exact observation already. On the other hand: a lot of everyday things us humans do are not that dissimilar from recognizing patterns and remembering a solution, and it feels like doing this step well is a reasonable intermediate step towards AGI, and not as hugely far off as this article makes it out to be.
The human brain is not an ordered, carefully engineered thinking machine; it's a massive hodge-podge of heuristic systems to solve a lot of different classes of problems, which makes sense when you remember it evolved over millions of years as our very distant ancestors were exposed to radically different environments and challenges.
Likewise, however AGI is built, in order to communicate with humans and solve most of the same problems, it's probably going to take an amalgamation of different algorithms, just like brains.
All of this to say, I agree memorization will probably be an integral part of that system, but it's also going to be a small part of the final system. So I also agree with the article that we're way off from AGI.