The drone of Mastodontic AI hovers silently over a handful of red-earth huts. It has traveled 800 kilometers, launched from a super-technological aircraft carrier anchored in the bay, powered by hydrogen and good intentions. In Palo Alto, the team of aerospace engineers has made a historic decision: solve the drought of an African village.
The project lead, a twenty-four-year-old with three MIT degrees obtained by blazing through thousands of multiple-choice tests at the speed of light, stares at the climate-controlled monitors. The drone sends terabytes of data: thermal mapping, soil humidity, orbital scans.
The algorithm calculates the optimal solution in 325 milliseconds: ban inefficient clouds, optimize resident migration flows through a geolocation app, implant a new species of mosquitoes, impose bipedal locomotion on wildlife.
Below, in the village, an elder watches the drone, turns to the tribal chief and says: “The white man’s fan has returned. If only they knew that all we need is a rubber tube ten meters long and to move the stone blocking the well”. But the stone has no IP address, so for Mastodontic AI it does not exist.
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