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GPT5 Performance Analysis on Large Codebases and Benchmarks

working on GPT5 writeup for @latentspacepod
. by far I know the most common question is going to be "how does this thing do on tasks for larger, nonswebench codebases 1) compared to {competitor models} 2) foreach {competitor harness}?" willing to spend some time answering this

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