It's still a talking point. Lattner said in this very interview "at some point people will consider it to be a Python superset, and effectively it will feel just like the best way to do Python in general." Note the hedging phrase, "consider it to be".
Even if the goal is to be just "close enough", It seems as pie-in-the-sky (Py-in-the-sky?) now as it did when Mojo was first announced. CPython has a huge surface area and it seems like if Mojo is going to succeed they are going to want to focus on differentiating features in the ML space and not going feature-for-feature with CPython. I don't know what "close enough" is, but closer than Py2 was to Py3, certainly.