And when they do, you can train them or fire them, and they learn not to do it.
LLMs change not a whit, and there's no one to take responsibility for the failure (and thus no way to fix it).
As the new variation on the old theme has it, "A computer can never be held accountable, and so very many people are trying to get them make management decisions."
You can’t train people to never make a mistake, particularly when doing highly repetitive work like this. You must build your systems to account for that regardless.
And when they do, you can train them or fire them, and they learn not to do it.
LLMs change not a whit, and there's no one to take responsibility for the failure (and thus no way to fix it).
As the new variation on the old theme has it, "A computer can never be held accountable, and so very many people are trying to get them make management decisions."
> LLMs change not a whit, and there's no one to take responsibility for the failure (and thus no way to fix it).
LLM output is nondeterministic and humans take responsibility for the failure the same way they take responsibility of a photocopy is too dark.
You can’t train people to never make a mistake, particularly when doing highly repetitive work like this. You must build your systems to account for that regardless.
You can scold juniors and they will learn. You can't scold Claude.
Surely the rate of improvement in new LLM models is the equivalent mechanism?
You can scold Claude. Just doesn't make a difference.
... until you hit Claude's risable "model welfare" protection.