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I wonder if there is any benefit to using something like DwarFS (https://github.com/mhx/dwarfs) for something like this.


I wonder if that was a case of being literal as in, technically speaking gpt-5 isn’t being _trained_, while omitting that they are working on collecting and preparing the data.


I previously did this. I wrote a naive integer factorization program in C, compiled it, extracted the disassembly and intentionally broke it. It generated a working c function they was almost correct given the broken assembly. I then “talked” with it to improve the code, even suggested that the original disassembly contained an error. It was surprisingly good.

Note: I broke the disassembly intentionally because when I presented the original disassembly it immediately outputted the/a C program to factorize integers.


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