Naive doesn't mean bad or unusable - it means having certain qualities which pose a problem in a specific context and for a specific purpose.
The classic example of course is sorting. In the context of sorting a list of ten numbers, any old algorithm (except pogo sort) would work pretty well. However, when we get to the scale of thousands of numbers or more, typically we say that selection sort is the naive algorithm because it has the quality of O(n^2) time which would be too slow for our purposes, and that the non-naive algorithm is quicksort because it has the quality of O(n lg n) time which is fast enough for our purposes.
In fact, the case could be made that in the context of sorting a list of ten numbers, quicksort is the naive algorithm, since it will take longer than selection sort.
