[ethbr1]

> Again the problem is not dictation, or LLMs. The problem is humans ignoring their responsibility to check the output of a machine.

100%. Also, management.

I wish someone would go ahead and coin an AI version of Amdahl's law that states the work speedup from AI is dependent on amount of unverified AI output used.

Iow, if you 1:1 verified everything, there would be no time savings.

Ergo, you get management saying (1) we demand time savings due to AI & (2) we demand you fully check anything you use AI for.

End result? People skip (2) to hit (1).

Then management burns anyone at the stake whenever inevitable mistakes happen.

[lazyasciiart]

But that’s trivially false. There is an entire category of work where it is hard to come up with an answer and easy to verify the answer, which means that if you verified everything there would still be a large time savings.

[ethbr1]

I would question whether that holds in the practical LLM automation space.

Can you think of any real life examples where an LLM is likely to be used?

I think in practice what you're saying is there are problems where there exist efficient deterministic verification methods, and I'm sure that's true.

But that's not the bulk of everyday work LLMs are being asked to do nowadays across industry.