[zendist]

The goal post keeps moving because LLM hypeists keep saying LLMs are "close" to AGI (or even are, already). Any reasonably intelligent individual that knows anything about LLMs obviously rejects those claims, but the rest of the world doesn't.

An AGI would not have problems reading an analog clock. Or rather, it would not have a problem realizing it had a problem reading it, and would try to learn how to do it.

An AGI is not whatever (sophisticated) statistical model is hot this week.

Just my take.

[joefourier]

AGI means artificial general intelligence, as opposed to artificial narrow intelligence. General intelligence means being able to generalise to many tasks beyond the single narrow one that an AI has been designed/trained on, and LLMs fit that description perfectly, being able to do anything from writing poetry, programming, summarising documents, translating, NLP, and if multi-modal, vision, audio, image generation... not all to human-level performance, but certainly to a useful one. As opposed to previous AI that was able to do only a single thing, like play chess or classify images, and had no way of being generalised to other tasks.

LLMs aren't artificial superintelligence and might not reach that point, but refusing to call them AGI is absolutely moving the goalposts.

[redox99]

Vision is still much weaker than text for LLMs. So you could argue we already have AGI for text but not vision inputs, or you could argue AGI requires being human level at text vision and sound.