All the LLMs and multi-modal models I've seen lack concrete reasoning. For instance, ask ChatGPT to perform 2 tasks, to summarize a chunk of text and to count how many words are in this chunk. ChatGPT will do a very good job summarizing the text and an awful job at counting the words. ChatGPT and all the transformer based models I've seen fail at similar concrete/mathematical reasoning tasks. This is the core problem of creating AGI and it generally seems like no one has made any progress towards synthesizing something with both a high and low level of intelligence.
My (unproven and probably incorrect) theory is that under the hood these networks lack information processing loops which make recursive tasks, like solving a math problem, very difficult.