I don't see why AGI is so hard.

The way I understand it, something can minimally constitute an AGI if it's able to use knowledge gathered from learning to complete one task in order to train itself to complete another task faster than it would if it didn't have that prior training.

AGI has been attempted this year and although the results were inconclusive, I think we might see something approaching it in the near future.

I think the line isn't clear cut for AGI, I think there's going to be gradual improvement, like in language models.

But I really don't know. What do you think ?