Another trope that stands out is that someone will take a model, run a battery of tests against it and then make general statements about what LLMs can and cann

Another trope that stands out is that someone will take a model, run a battery of tests against it and then make general statements about what LLMs can and cannot do without understanding their architecture, the training data, and the training itself. And then they dress it up to sound scientific, when really they are making hasty generalizations to support a preconceived bias.