I don't think this explanation is sufficient:
For example, many nerds care about 3D printing. On the other hand, my experiments (and the experiments of many nerds who I know) to let LLMs create files for 3D printing lead to horrendously lacking results.
Or many nerds care about linguistics or puns. Whenever a new LLM comes out to which I have easy access, I do the test, and let it explain some specific German jokes to me that are based on convoluted puns in the German grammar. Until now, no LLM that I had access to could give satisfying explanations of the puns on which these jokes are based.
Or even for coding (many nerds do care about elegant, sophisticated code): the LLMs that I could test were already overchallenged with the following task: I had written some code that is a very "artisanal", "clever" improvement of an algorithm over the version that one would find in a textbook. The task for the LLM was simply to write some code comments/documentation about the mathematical ideas upon which my improvement over the textbook version of the algorithm is based. It wasn't capable to do this. On the other hand, for a junior programmer, I would in such a situation expect that he goes through every single line and thinks through the algorithmic ideas so that he can learn from them.
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Thus: even for "nerdy" topics, it is very easy to find tasks where LLMs still suck. So, my hypothesis about the nerds that you mention in your post is that these nerds are rather people who want to believe (with religious fervor) that the current LLMs are exceptionally good instead of just looking into a slightly different direction than where the tech billionaires want the users of LLMs to look at.