Yup. For example I asked it some questions in linear algebra[1]. The answers (if you didn't know linear algebra) seemed convincing, full of equations etc but the equations were wrong. Looked good, but just totally wrong in loads of important ways. When I pointed out the mistake it geneally returned with a proof of why its previous result was wrong.
Now I could have walked away patting myself on the back, but even with correct equations, the answers were wrong in a deeper, more fundamental way. If you were trying to use it as a tool for learning (a sort of co-pilot for self-study) which is how I use GPT-4 sometimes it would have been really terrible as it could completely mess up your understanding of foundational concepts. It doesn't just make simple mistakes it makes really profound mistakes and presents them in a really convincing way.
[1] What's the difference between a linear map and a linear transformation? What are the properties of a vector space? etc
They are. Bard invented a difference and that is in fact the deep error I was referring to. It said that for a linear map the origin was fixed whereas for a transformation it was ok for the origin to move. Or vice versa I can’t quite remember.
Now I could have walked away patting myself on the back, but even with correct equations, the answers were wrong in a deeper, more fundamental way. If you were trying to use it as a tool for learning (a sort of co-pilot for self-study) which is how I use GPT-4 sometimes it would have been really terrible as it could completely mess up your understanding of foundational concepts. It doesn't just make simple mistakes it makes really profound mistakes and presents them in a really convincing way.
[1] What's the difference between a linear map and a linear transformation? What are the properties of a vector space? etc