The impression of a photo is taken from context, a photo isn't a closed system. That implies a larger set of probability functions, sure, some of it from genetic evolution, some from the evolution of thoughts. Reason draws from its intelligence from emotion, ie. emotional intelligence, though. There's convolution of primary senses, finely tuned, highly developed mechanisms and chemical reactions that motivate the strategic management you mentioned.
In that sense, what we percieve as intelligent often enough is the abillity to do more with less, ie. compression of information. Therefore, one goal is to keep the probability functions few. What happens with ML is just that, it uses much less layers and neurons for context then the brain, but makes up for it in raw speed.
To add to my wild musings from before, the tell in intel might be related to to tell which used to mean to count. Compare that with german erzaehlen and zaehlen. Same for to reckon, cognate with german rechnen (calculate).