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Benchmarks aren't too promising[0].

I wonder if the original 500% improvement they targeted at the start of the `faster cpython` project is still a realistic target.

[0] https://github.com/faster-cpython/benchmarking-public

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My understanding is most low hanging fruit were picked for Python 3.11. And the faster CPython team have been looking at more mid to long term goals with the addition of a JIT and other accompanying infrastructure around for 3.13 and 3.14.

However, the recent no-GIL decision I think has sent a few things back to the drawing board to see what can and cannot be salvaged from their progress and plans so far.

Sad ... I think python need some performance improvement more than the no-gil stuff.

Would those benchmarks capture the performance improvements listed in the change log? From what I read, there were two big ones:

- Inlined list and set comprehensions.

- Reduced data copying in asyncio.

They use the `pyperformance` package[0] that, according to the readme, use real world scenarios. So I expect it to capture every significant improvement.

[0]https://github.com/python/pyperformance

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