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this post was submitted on 02 Aug 2023
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Ai models are already computationally intensive. This would instantly double the overhead. Also being able to detect problems does not mean you're able to fix them.
More than double, as query size is very much connected to the effective cost of the generation, and you'd need to include both the query and initial response in that second pass.
Then - you might need to make an API call to a search engine or knowledge DB to fact check it.
And include that data as context along with the query and initial response to whatever decides if it's BS.
So for a dumb realtime chat application, no one is going to care enough to slow out down and exponentially increase costs to avoid hallucinations.
But for AI replacing a $120,000 salaried role in writing up a white paper on some raw data analysis, a 10-30x increase over a $0.15 query is more than acceptable.
So you will see this approach taking place in enterprise scenarios and professional settings, even if we may never see them in chatbots.