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this post was submitted on 26 Jun 2024
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Those mistakes would be easily solved by something that doesn't even need to think. Just add a filter of acceptable orders, or hire a low wage human who does not give a shit about the customers special orders.
In general, AI really needs to set some boundaries. "No" is a perfectly good answer, but it doesn't ever do that, does it?
That wouldn't address the bulk of the issue, only the most egregious examples of it.
For every funny output like "I asked for 1 ice cream, it's giving me 200 burgers", there's likely tens, hundreds, thousands of outputs like "I asked for 1 ice cream, it's giving 1 burger", that sound sensible but are still the same problem.
It's simply the wrong tool for the job. Using LLMs here is like hammering screws, or screwdriving nails. LLMs are a decent tool for things that you can supervision (not the case here), or where a large amount of false positives+negatives is not a big deal (not the case here either).