Given the fact that those models seem to improve logarithmically and that they pretty much trained codex on ~all available public code (maybe divide by 2) meani

Given the fact that those models seem to improve logarithmically and that they pretty much trained codex on ~all available public code (maybe divide by 2) meaning the training data will at most scale with the growth rate of public repos in Github, I doubt that whole "1 million times better". Even the number of parameters won't improve with a factor of 1 million (it will not improve by a factor of a 1000 and may even not reach a factor of 100) by the end of the decade.