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I think the term "AGI" is a bit of a historical artifact, it was coined before the deep learning era [1] when previous AI winters had made everyone in the field reluctant to think they could make any progress toward general intelligence. Instead, all AI had to be very extensively hand-crafted to the application in question. And then some people felt like they still wanted to do research on what the original ambition of AI had been, and wanted a term that'd distinguish them from all the other people who said they were doing "AI". So it was a useful term to distinguish yourself from the very-narrow AI research back then, but now that AI systems are already increasingly general, it doesn't seem like a very useful concept anymore and it'd be better to talk in terms of more specific cognitive capabilities that a system has or doesn't have.