Well, they added an experimental JIT so that is one step closer to PyPy? Though would assume the trajectory is build a new JIT vs. merge in PyPy, but hopefully people learned a lot from PyPy.
There is some information transfer happening. Antonio Cuni was at the latest Coython developer sprint and shared some insights from PyPy https://antocuni.eu/2025/09/24/tracing-jits-in-the-real-worl...
Imagine how Open Source Software could improve if a consortium of nations put their money and resources into commissioning bug fixes and enhancements, which would be of collective benefit.
Apart from a few niche cases, the needs of most government bureaucracies would be well served by currently available OSS word processing, spreadsheet, presentation and graphics software.
This is the business model of Quansight Labs, whose employees help maintain much of the scientific python stack. Mostly tech companies, not governments, sponsoring the work