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hopefully last media link fix
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_posts/2025-07-05-jit-reflections.md

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@@ -87,7 +87,7 @@ However, IMO that's not entirely fair to the interpreter, as we're purposely lim
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we _know_ is worse for it. You can see this effect very clearly on Thomas Wouter's analysis
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[here](https://github.com/Yhg1s/python-benchmarking-public). Note that this is the geometric mean. So there are select workloads where the JIT does show a real speedup!
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![Performance of JIT Compiler across different compilers, Credit Thomas Wouters](jit-reflections-perf.png)
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![Performance of JIT Compiler across different compilers, Credit Thomas Wouters]({{ site.baseurl }}/media/jit-reflections-perf.png)
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(Image credits to Thomas Wouters). Anything below 1.00x on the graph is a slowdown.
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In short, the JIT is almost always slower

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