Let's ask what it's good at instead because that's a much shorter list in terms of things that would qualify a system as AGI.
What LLMs are good at:
- Completing the next likely token
What LLMs are missing:
- Actual thinking
- Self awareness
- Persistence
- Introspection
- Literally everything else
You can hack some of this on top of LLMs with harnesses etc but that's not a step towards AGI. None of these problems have been solved at the model level. That's just a program tricking a language model into being more useful.
Languages models might prove to be one tiny layer of a true AGI but only time will tell. A whole lot of time, because we're not even close to replicating the 99% of other layers that would go into a machine brain.