They all seem to have a definition along the lines of "I'll know it when I see it".
This leads to a lot of disagreement and moving-of-goalposts. %-/
As impressive as GPTs are, they are fundamentally the sum of the parts that humans feed into them, and they have no capability to reject training updates. Aristotle famously said "It is the mark of an educated mind to be able to entertain a thought without accepting it", and I think that once we hit the point that we're building AIs which can entertain and understanding training input and "consciously" choose to not incorporate it into its understanding of the world, we're probably pretty close.
Some might argue that ChatGPT's well-publicized political discrepancies might qualify, but I'll disagree with this, because (with sufficient access) you could easily take the same base model and continue training it on a new, contradictory dataset and cause it to flip its "opinions". It doesn't have any actual beliefs, just the sum of the training it's been given.
This is exactly what Turing came up with as criterion for intelligence. But now that we have such machines, many tasks we thought could only be done by an AGI can also be done by not-AGI.
"It is just doing next word prediction, duhh"
The whole line of thought is muddled thinking and not bothering with exact definitions.
Even the mental image of moving the goalpost is wrong because we haven't bothered to define the goalpost or even what game we are talking about.