> There's an obvious question looming here — if the models got so confused, how did they consistently pass the reconciliation checks we described above? It may seem like the ability to make forward progress is a good proxy for task understanding and skill, but this isn't necessarily the case. There are ways to hack the validation check – inventing false transactions or pulling in unrelated ones to make the numbers add up.
This is hilarious. I wonder if someone is unintentionally committing fraud by blindly trusting LLMs with accounting.
Or even worse, I bet that some governments are already trying to use LLMs to make accounting validators. My government sure wants to shove LLMs into digital government services.
> There's an obvious question looming here — if the models got so confused, how did they consistently pass the reconciliation checks we described above? It may seem like the ability to make forward progress is a good proxy for task understanding and skill, but this isn't necessarily the case. There are ways to hack the validation check – inventing false transactions or pulling in unrelated ones to make the numbers add up.
This is hilarious. I wonder if someone is unintentionally committing fraud by blindly trusting LLMs with accounting. Or even worse, I bet that some governments are already trying to use LLMs to make accounting validators. My government sure wants to shove LLMs into digital government services.