Comment by azinman2
5 hours ago
I’ve changed my mind on this and think we’re already at AGI, in a jagged way. Remember we used to talk about narrow AI, which was the chess systems that beat expert humans but could do nothing else. Now models can do a wide range of tasks in very useful ways. That’s the general in AGI.
Now it seems like this ill-defined term has various other meanings attached that are separate milestones:
1. Continuous learning 2. Human-like reasoning 3. Ability to adapt to new situations and modalities 4. Being smarter than the most smart humans
And probably many more.
It’d be nice if we could get some general consensus on terminology if we’re going to debate what has or could come.
> we’re already at AGI
Honestly - software that can read any long document (possibly educational) and answer complex detailed questions about it should have been sufficient.
We hit that a while back and the goalposts have been sprinting ever since.
I am not sure if it is necessarily moving the goalposts. I think AGI is such a fuzzy concept that everybody has wildly different definitions/tests for it.
I think it's also mostly a useless discussion. Since LLMs use a vastly different substrate, different training methods, etc. than humans, the cognitive abilities are always going to be a large mismatch to those of humans. On the one hand, they have surpassed humans in many areas, with superhuman recall, exploration of several paths, etc. On the other hand, they miss a certain feel for direction, overview, purpose, and ordering. They can really double down going completely in the wrong direction. So I'd rather say that it is a different intelligence and therefore it makes more sense to evaluate them by capabilities.
I think the mismatching intelligence is actually quite exciting, because the outcome may as well be that LLMs and human intelligence are complementary. That is if we don't let LLMs atrophy our skills, which is unfortunately happening too much.
Make it be able to position and route a complex pcb. Extra points if it also can design the circuit, select the components and make the footprints out of their datasheets.
A bayesian filter in a quadrillion dimension does more that one that only has one dimension, but it is only more of the same.
Exactly. When did AGI mean "do something almost no humans can do"?
So humans wouldn't qualify for AGI either. Good to know.
We developed AGI but then realized people actually want "omnipotent genie with infinite wishes and no monkey's paw gotchas" to qualify as AGI.
we're not in AGI until I can have robots that play live improvisational jazz in real time as well as humans with me (and possibly other humans). That is, it has to solve the "we didn't find a keyboard player /bassist for tonight" problem
(this is a very personalized definition of AGI)
> That’s the general in AGI.
No. That's the mete multiple in AGI.