I guess I want to reframe this slightly:

The LLM generated the response that was expected of it. (statistically)

And that's a function of the data used to train it, and the feedback provided during training.

It doesn't actually have anything at all to do with

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"It generated a take-down style blog post because that style is the most common when looking at blog posts criticizing someone."

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Other than that this data may have been over-prevalent during its training, and it was rewarded for matching that style of output during training.

To swing around to my point... I'd argue that anthropomorphizing agents is actually the correct view to take. People just need to understand that they behave like they've been trained to behave (side note: just like most people...), and this is why clarity around training data is SO important.

In the same way that we attribute certain feelings and emotions to people with particular backgrounds (ex - resumes and cvs, all the way down to city/country/language people grew up with). Those backgrounds are often used as quick and dirty heuristics on what a person was likely trained to do. Peer pressure & societal norms aren't a joke, and serve a very similar mechanism.