[ChrisRackauckas]

Yes it has not landed in Base, but you're acting like there has not been a general cultural changes. I showed, with receipts, that many of the most widely used packages in the Julia ecosystem have adopted new infrastructure, systems, and tooling to address these problems in the last 3 years. With SciML and JuMP both having adopted such systems, this accounts for roughly 50% of the top 100 most starred Julia packages according to current metrics (Nov 20 2023), with many of the packages not doing this largely being interface packages (plotting, notebooks, and language interop, if you account for those not having this issue it's closer to 2/3 of the top 100 most starred packages). I also want that number to be 100%, and the compiler team is having weekly discussions with us about our needs given that there are now successful parts of the ecosystem to model this tooling based off of, and so yes it can get better and we need to keep improving. But to claim that no shift in culture has occurred is implying that all of this doesn't exist, even though we can point to the receipts.

[Sukera]

50% of the top 100 most starred, i.e. used, packages are not representative of the entire community. Not to mention that the vast majority of those SciML packages is developed by a relatively small group of people, compared to the rest of the ecosystem. If all a potential user cares about is SciML, good for them! I've repeatedly said that users not looking for SciML are left behind.

Yes, SciML is doing good. I'm not denying that, and never have. Still, the rest of the community/package ecosystem is not good at catching up - which is what I'm criticizing.