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With the "in context" ability of LLM I think you can add one sentence like "as you were IQ185" to make AI ignore portion of its training data.

The average IQ is 100…

The average IQ in the training data isn't 100. Higher IQ individuals likely write more online, higher quality datasets like Wikipedia are oversampled etc.

You must not spend too much time on Reddit...

By country, it is not.

Nope. In order to minimise total loss it needs to be able to generate the whole spectrum of IQ.

Very interesting. So if you want an intelligent model, you should train it on data that gives a high IQ score.

You can then test a text to see if it increases or decreases the IQ of a model, if included in the training set.

This makes it possible to classify text as "decreases intelligence" of "increases intelligence".

Logical next step is to mark books based on the expected effect on intelligence.