It makes me think of the saying “a jack of all trades a master of none”.

I cannot help but think there are some similarities between large model generative AI and human reasoning abilities.

For example if I ask a physician with a really high IQ some general questions about say anything like fixing shocks on my mini van … he may have some better ideas than me.

However he may be wrong since he specialized in medicine, although he may have provided some good overall info.

Let’s take a lower IQ mechanic who has worked as a mechanic for 15 years. Despite this human having less IQ, less overall knowledge on general topics … he gives a much better answer of fixing my shocks.

So with LLM AI fine tuning looks to be key as it is with human beings. Large data sets that are filtered / summarized with specific fields as the focus.