Ten years ago, AGI implied general intelligence, as opposed to ML models that had learned specific tasks. It meant a model that could reliably zero-shot problems you threw at it to human level without being specific models trained for that task. As recently as 2024, DeepMind's framework had:

> a Competent AGI must have performance at least at the 50th percentile for skilled adult humans on most cognitive tasks

and "emerging AGI" as

> "equal to or somewhat better than an unskilled human"

The moving the goalposts here is people saying it has to outperform humans on literally every task to be AGI. We have artificial general intelligence by any reasonable definition; people here are complaining we don't have super-intelligence.