Except that compilers are (at least to a large degree) deterministic. It's complexity that you don't need to worry about. You don't need to review the generated assembly. You absolutely need to review AI generated code.

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cortesoft 6 hours ago | parent [-]

At the end of the day, LLMs are also deterministic. They are running on computers just like all software, and if you have all the same data and random seeds, and you give the same prompt to the same LLM, you will get back the exact same response.

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Supermancho 3 hours ago | parent [-]

> you give the same prompt to the same LLM, you will get back the exact same response.

Demonstrably incorrect. This is because the model selection, among other data, is not fixed for (I would say most) LLMs. They are constantly changing. I think you meant something more like an LLM with a fixed configuration. Maybe additional constraints, depending on the specific implementation.

	▲	cortesoft an hour ago \| parent [-]
		Yes, by 'same LLM', I mean literally the same model with the same random seeds. You are correct, the big LLMs from providers like Anthropic and OpenAI do not meet this definition.