[raydiatian]

GPT-4 is not quite AGI. Until it can build a functional code base for an entire distributed web platform based only on business requirements, debug it’s mistakes, it can’t be AGI. It is, to perhaps coin a term, AGK, artificially generally knowledgeable. As a language model trained on an absolutely colossal dataset, it’s basically just a giant snapshot of human knowledge taken in superposition. Sure it’s probably at least 90% of the standard knowledge, but intelligence is a different thing.

I also think agency is wrapped up in AGI. Intentions & thoughts are meaningless until acted upon. Agency is not all or nothing either; Stephen Hawking had multiple augmentations, community and technological, which allowed him to continue to impact the world of physics After he lost his god given agency.

> GPT-4 has nearly aced both the LSAT and the MCAT. It’s a coding companion, an emotional companion, and to many, a friend. Yet it wasn’t programmed to be a test taker or a copywriter or a programmer. It was just programmed to be a stochastic parrot.

I disagree, it was absolutely trained to be a test taker. It’s been a second since I read the original GPT paper but there’s literally a multiple choice auxiliary learning task, where they use a separator token-embed to organize "question, context, options a, b, and c". As far as being a friend to many, is there evidence of this? I tried to talk to ChatGPT about some emotional problems to see if it was a cheap therapist, and I got flagged.

[perryizgr8]

> Until it can build a functional code base for an entire distributed web platform based only on business requirements, debug it’s mistakes, it can’t be AGI.

The vast majority of humans cannot do that. Are they not generally intelligent?

[raydiatian]

I think AGI needs to be compared against the species in the aggregate. The vast majority of humans also cannot practice law or pass LSAT/GMAT, but some of us can. If we’re setting the bar for AGI as “anything you can do I can do better”, AGI simply would not meet the bar.

To pull that thread further, I think a core feature of intelligence is problem solving. Problem solving is the derivative that creates difficult to obtain knowledge. GPT-4 might look like a problem solver, but it isn’t actively solving new problems with its outputs, it’s sharing existing knowledge of prior problems solved.

The test for problem solving ability is similar to Ilya’s test for consciousness: subtract everything but the fundamental building blocks of a certain problem from the agent’s training set. Finish training, see if the agent can solve the problem from the building blocks. If it can, and it’s not a reason-by-analogy but a logical first principles answer, congratulations, you’ve created artificial general intelligence. If it operates on fast enough time scales, it should probably even be categorized as super intelligence, because it might be singularity:35pm on a saturday.

[raydiatian]

Artificially Globally Knowledgeable*