Those arguments absolutely are wrong. For one thing it's classic hindsight bias. When you make a wrong prediction, you should update your model, not come up with justifications why your model doesn't need to change.
But second, it's another bias, where nothing looks like AI, or AI progress. People assume that intelligence should be complicated, that simple algorithms can't have intelligent behavior. That human intelligence has some kind of mystical attribute that can't be replicated in a computer.
Whenever AI beats a milestone, there are a bunch of over-optimists that come out and make predictions about AGI. They have been wrong over and over again over the course of half a century. It's classic hindsight bias.
And the optimists are being proven right. AGI is almost here.