[sinuhe69]

In my experience (I work mostly and deeply with Bard/Gemini), the reasoning capability of Gemini is quite good. Gemini Pro is already much better than ChatGPT 3.5, but they still make quite a few mistakes along the way. What is more worrying is that when these models made mistakes, they tried really hard to justify their reasoning (errors), practically misleading the users. Because of their high mimicry ability, users really have to pay attention to validate and eventually spot the errors. Of course, this is still far below the human level, so I'm not sure whether they add value or are more of a burden.