Not yet. Here's why:
1. The answers it gives are regurgitated and are often incorrect and nonsensical. It may appear that it is intelligent prima facie, but after looking at its answers it gives, is not exactly AGI. Not even close to that right now; it is still too early for that.
2. ChatGPT isn't able to discover novel solutions or approaches to existing problems and unseen ones, especially computer science, physics or unsolved mathematical problems. Asking it so, it will either refuse to do so or output an obviously incorrect answer. This often occurs with proofs, very complex code questions and especially unseen problems.
It may be able to get away with it with other generative tasks, but for more rigorous applications it falls totally flat.
3. Most importantly, it is unable to explain itself as to how it got to that answer. Even asking it to explain, it does not transparently show its decisions over the answers it is giving. That is a dead end for very safety critical and serious applications that require thorough explanation.
Cutting through the hype of ChatGPT, it is still riddled with inaccuracies; but it does still have potential only if those 3 points are tackled. This Bloomberg post [0] mirrors exactly what I have said.