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Not correct but you can plan in the mistakes. E.g: I designed a modular monolith where each module is strongly decoupled so an LLM can work on it individually and if it breaks it can be ripped out and replaced without damage to the rest of the system.

So the system accounts for mistakes and has protocols for removing bad modules/code.

If part of the system go down the rest will remain functional

Edit: and yes audits are part of the pipeline

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Sure but that means accepting the cost of having faulty modules running in production (and there is no guarantee that your LLM could fix a faulty module, perhaps it will just replace it with a module with different bugs. There's no way to know!)

This obviously won't fly for "serious" software such as airplane software, but I'm willing to guess that even customers of a low-stakes SaaS would get pissed off if your product regularly turns up new bugs.

I think it's easier to just do code reviews...

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There are code reviews. At no point did I write no reviews, that's something you inferred.

Both me and LLMs are constantly auditing software.

In-fact auditing and QA is mainly what I do now and human audits become much easier when it's scoped to modules.

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> I don't think there will ever be a way to "steer" an LLM such that it produces the correct output 100% of the time.

You cannot do that with humans either.

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The difference with humans is that you can incentivize them to try and do the right thing via money. Humans are error-prone and slow, but they don't have an alignment problem, and the types of mistakes they'll make are pretty much understood. There are entire programming languages designed to minimize those types of mistakes.

The types of mistakes LLMs will make are failures of alignment, that is, basically unpredictable. They could fuck up anything. Where a human fucks up by introducing a crash, the LLM fucks up by just not solving the problem you asked it to solve.

It will happen less and less as they get better and better, but as the volume of software output keeps growing, it will happen with a consistent defect rate. And we won't be able to catch it prior to shipping, because humans won't be able to review all the code or verify all the tests.

I don't think anyone's started taking this seriously yet.

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> The difference with humans is that you can incentivize them to try and do the right thing via money.

Gen Z has learned that usually, your dedication to work is not tied to the monetary reward.

> Where a human fucks up by introducing a crash, the LLM fucks up by just not solving the problem you asked it to solve.

Have you ever done a group work project at school?

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