> Knowledge transfer worked in both ways: I learned a lot about the internal details of CPython's JIT, and conversely I shared with them some of the experience, pain points and gut feelings which I got by working many years on PyPy.

Can cross fertilization between PyPy and CPython JIT efforts help already fast PyPy to get even faster? Like, did CPython JIT team try something PyPy developers didn't attempt before?

PyPy is awesome, btw.