If we accept:<p>- that there&#x27;s only one class of &quot;humanic&quot; intelligence;<p>- that we can approximately represent instances in this class of intelligence as vectors of {memory, learning speed, computation speed, communication speed};<p>- that any AI that could be created is merely a vector in this n-dimensional intelligence space, lacking any extra-intelligent qualities;<p>- that productivity and achievement increases exponentially the more intelligent being you devote to a problem, but logarithmically for more beings you devote (e.g. a being with intelligence vector {10,10,10,10} might be as productive as 10000 {1,1,1,1} beings);<p>then this doesn&#x27;t exclude the possibility of us creating an AI with an intelligence vector twice an average human&#x27;s intelligence vector, which can suggest improvements to its algorithms and datacenter and chip designs to become 10x as intelligent as a human, and from there it could quickly determine new algorithms, and eventually it&#x27;s considering philosophy (and what to do about these humans).<p>The point is: viewing intelligence the way you suggest doesn&#x27;t help us on what to do about &quot;super&quot; artificial intelligence.