AGI will forever be the next threshold, then the next, then the next until one day we'll realize that we passed the line years before.
AGI will forever be the next threshold, then the next, then the next until one day we'll realize that we passed the line years before.
I also think it’s funny how people rarely bring up the Turing Test anymore. That used to be THE test that was brought up in mainstream re: AGI, and now it’s no longer relevant. Could be moving goalposts, could also just be that we think about AGI differently now.
The answer is definitely yes, but it's not by casual conversation, but by asking weird logic problems it has tremendous problems solving and will give totally nonsensical inhuman answers to.
Also the way and context that it gets logic puzzles wrong is pretty inhuman. First of all, it's capable of doing some pretty hard puzzles that would stump most people. Yet if you change the wording of it a bit so that it no longer appears in training data, it's suddenly wrong. Humans are frequently wrong of course, but the way they're wrong is that they give vague solutions, then muddle through an answer while forgetting important pieces. This is contrary to GPT-4 which will walk you through the solution piece by piece while confidently saying things that make no sense.
To me, GPT-4 is an AGI: it knows how to cook, write code, make songs, navigate international tax law, write business plans, etc.
Could it be more intelligent? Sure. Is it a capable general intelligence? 100%.
It is A and gets the G but fails somewhat on the I of AGI.
This is easier to see with AI art. The artwork is very impressive but if the hand has the wrong number of fingers or the lettering is hilariously wrong, there’s a tendency to dismiss it.
Nobody complains that dall-e can’t produce artwork on par with Da Vinci because that’s not something we expect humans to do either.
For us to start considering these AIs “intelligent” they first need to nail what we consider “the basics”, no matter how hard those basics are for a machine.
ASI (domain-specific superintelligence) and AGI (general intelligence) are different things. ASI already exists in multiple forms, AGI doesn't.
AGI hasn’t been publicly demonstrated and made available to the masses… but it may exist secretly in one or more labs. It may even be being used in the field under pseudonyms, informing decisions, etc.
By OpenAI definition 50% is not enough to qualify for AGI, it has to be "nearly any economically valuable work"