Wisdom is goal-oriented thinking. Intelligence is the type of calculations that should go into optimization towards goals but are often misdirected. You can optimize steadily but weakly towards a goal, or you can make calculations and make decisions with high power, but shooting in all directions.

Neither Bostrum nor our discussion properly distinguishes between fluid and crystallized intelligence.

Fluid intelligence is the capacity to think logically independent of aquired knowledge.
Crystallized intelligence is the ability to use skills, knowledge and experience.

Howard Gardners concept of multiple intelligences is focussing on aquiring crystallized intelligence:

As the name [multiple intelligences] indicates, I believe that human cognitive competence is better described in terms of a set of abilities, talents or mental skills, which I call intelligences. [...] Such a theory has important educational implications.

(Gardner 2006 Multiple Intelligences - New Horizons p6)

The word wisdom implicates experience and higher age. Wisdom does not need to be universal knowledge. Years of experiences in some restricted domains together with high inter- and intrapersonal intelligence build wisdom.

For our discussion on engineering seed AIs it is important to know that this AI needs wisdom in engineering. This is: high fluid intelligence, high creativity (a concept different from intelligence), and a lot of practical experience and theoretical knowledge about hard- and software engineering.