Actually the real world does care. Words have meanings in the context that they're spoken, and often times whether you want to or not, dictionaries have to update their meanings because they changed over time.
I laughed out loud at their chart showing that Sonnet had a higher share of coding questions, whereas Opus had more writing.
If they would just look at their product, they'd see that it literally says it in the model description that Opus is better for writing. If you advertise one of your models as geared for task X, the insight that people use it more for task X isn't really an insight.
It's not hypocrisy or anything negative like that, but I do find it amusing for some reason.