The counterargument stems on a fundamental misunderstand of what it means to make assertive claims in science: you always need to prove your positive claim, saying that we do not know that ML models are human-like requires no evidence because this is the zero hypothesis.

Using humanising language is equivalent to attributing human-like cognition to ML models. Unless there is very strong evidence that there are analogies between the specific modeling mechanism and human-like intelligence, it is always incorrect to positively assert these claims without evidence. In science, you can only assert that for which there is evidence, strong claims like the above require strong evidence.