Humans will become "dogs" for robots, predicted the father of information theory.

Shannon, whose work laid the foundation for the digital revolution, pondered the limits of computing machines and neural networks. Despite his skepticism about AI at the time, he was convinced that technology would one day surpass human intelligence. But, unlike apocalyptic scenarios, his dog metaphor suggested not enslavement, but a kind of symbiosis—mutual love, devotion, and respect between man and machine. Today, talk of technological singularity and artificial superintelligence is no longer science fiction. While no one is giving a precise timeline for the emergence of AGI, scientists agree it will happen in the coming decades. Long before the era of big data and deep learning, Shannon essentially described a scenario now being discussed by leading AI researchers: humanity's transition to the role of "faithful assistant" to more intelligent machines. The only question is whether we will be their "best friends," like dogs are to humans, or whether this symbiosis will prove less idyllic. But the very fact that one of the leading minds of the 20th century considered such a scenario inevitable is thought-provoking.