About chatGPT

These days the talk of the town is ChatGPT and its potential uses. It really is a great tool and it impressed me, and everybody else, with the way it responds to simple language questions.
Of course it has some flaws. There is some criticism about its math capabilities or the accuracy of some information it provides, like historical dates and paper citations. But this doesn't really bother me; if I wanted math calculations I would use a calculator and for dates and historical events I would prefer Wikipedia. There are more fundamental concerns about the use of chatGPT, especially about its potential use in research as many people claim (or fear) that generative AI could replace original research. Well, not yet.
The current model of chatGPT doesn't have critical "thinking" and has troubles on reasoning and induction. I asked it some questions about how certain AI methods could be combined on an innovative way, like genetic algorithms and unsupervised learning. As there are no references of such combinations, chatGPT discouraged this idea. I would expect an answer that would reason for or against this idea based on the features of these two methods.
Then I thought of asking a stupid and easy question, but it still failed. The question was why my favourite football team cannot win Champions League. The obvious question is that it is a weak team and cannot face the competition. But the model responded that it's just a language model and cannot answer. I had to guide it through some more questions to make it answer correctly.
The cause for these weaknesses must be the architecture of the model. Probably more interconnections among the layers of the model will improve its ability to reason and combine previous knowledge. But this is more of future goal, currently it cannot replace original research and we should probably cross check its quite interesting answers.