IMHO (as a AI researcher) 'multi-modality, multi-task, multi-language, multi-memory' may take longer than you think. Doing multi modal learning is quite hard due to lack of labeled data, a lot of tasks either don't offer clean plentiful datasets or require RL / human in the loop learning and not just supervised or self supervised learning, and on and on. Certainly a lot of progress will be made and partial automation is likely to speed up (as has happened with Copilot), but full automation seems to be a good while away.

Plug - I expand on this a bit in this blog post 'The Inherent Limitations of GPT-3' (which was on front page of HN a few weeks back and led to a good deal of discussion ) https://lastweekin.ai/p/the-inherent-limitations-of-gpt-3