I'm not sure adding 'features' to Python anymore makes sense - UNLESS those features help humans understand LLM code. Part of the problem is, of course, that LLMs haven't been trained on the latest-and-greatest, so they won't output any of it (even new training events won't capture the latest very much, since there is so little of it relative to what is already out there).
But again -- do new features help HUMANS understand what the LLMs produce? If not, seems to me ... new features merely add complexity for no apparent gain. (Or am I confused about this?) THANKS for any helpful opinions.