There is a general issue where AIs fail in different ways than humans, and the failures look really dumb to a human. So humans tend to ascribe that dumbness from the human scale. Instead, I’d suggest they just have a dramatically different spider-graph of capabilities to a human, and are overall more capable than the “dumb spreadsheet / parrot” narrative admits. (Definitely not human-level IQ yet, to be clear.)
The start of its lengthy response:
“ The use of probabilistic logic models in LLM can lead to more sophisticated and nuanced logical reasoning. These models represent knowledge about the world in a probabilistic form, which allows the LLM to take into account uncertainty and make inferences based on probabilities.
For example, an LLM system trained on a large knowledge base might encounter a question that it has not seen before. Using probabilistic reasoning, the LLM…”
I think the complaints are more about the "use logic" point than the sources, from my limited understanding, I would not say LLMs currently use logic.