It is very easy to separate humans from LLMs. Humans created math without being given all the answers beforehand. LLMs can't do that yet.
When an LLM can create math to solve a problem, we will be much closer to AGI.
When an LLM can create math to solve a problem, we will be much closer to AGI.
Seems like goalpost moving to me.
I think the real things that separate LLMs from humans at the moment are:
* Humans can do online learning. They have long term memory. I guess you could equate evolution to the training phase of AI but it still seems like they don't have quite the same on-line learning capabilities as us. This is what probably prevents them from doing things like inventing maths.
* They seem to be incapable of saying "I don't know". Ok to be fair lots of humans struggle with this! I'm sure this will be solved fairly soon though.
* They don't have a survival instinct that drives proactive action. Sure you can tell them what to do but that doesn't seem quite the same.
LLM’s actually admit to being wrong easily, but aren’t great at introspection and confabulate too often. also their Meta cognition is poor still.
Also ChatGPT is trained specifically to be helpful and subservient.
Did a wise arbiter of truth set up goalposts that I moved? I guess I didn't get the memo.
If the implied claim is "GPT would invent math too given enough time", go ahead and make that claim.
Collectively, yes. The criticism of AI has always been "well it isn't AI because it can't do [thing just beyond its abilities].
Maybe individually your goalpost hasn't moved, and as soon as it invents some maths you'll say "yep, it's intelligent" (though I strongly doubt it). But collectively the naysayers in general will find another reason why it's not really intelligent. Not like us.
It's very tedious.
The issue with most criticism of LLMs wrt AGI is that they come up with totally bogus reasons why it isn't and can't ever be real intelligence.
It's just predicting the next word. It's a stochastic parrot. It's only repeating stuff it has been trained on. It doesn't have quantum microtubules. It can't really reason. It has some failure modes that humans don't. It can't do <some difficult task that most humans can't do>.
Seems to be mostly people feeling threatened. Very tedious.
The fact that we have trained it on examples of human-produced maths texts (rather than through interacting with the world over several millennia) seems like more of an implementation detail and not piece of evidence about whether it has “understood” or not.