This is an essay I wrote for volume 245 of “Down in The Dirt”, a monthly magazine from ScarsTV publications. A link to the online upload of the essay is here: https://w.scars.tv/cgi-bin/works_e.pl?/home/users/web/b929/us.scars/perl/text-writings/g14827.txt
The magazine is available for purchase through amazon (a link to the current issue is here: https://www.amazon.com/dp/B0GWRCZXW9), and volume 245 will be out 1/8/26.
Humans did not inherit the world by strength. The lion rules through force, the shark through speed and certainty, the eagle through vantage. Each creature dominates within its own domain, equipped precisely for survival within it. The human, by comparison, is strangely unequipped. It is slower than the cheetah, weaker than the ox, less agile than the ape. It cannot fly, cannot breathe underwater, cannot rely on venom or armour or instinct sharpened to a single purpose. And yet, it is humans who reshape landscapes, redirect rivers, and decide the fate of other species.
What humans possess is not physical superiority, but abstraction. The ability to imagine what is not present, to plan beyond the immediate, to impose logic onto chaos. Intelligence—not merely in the sense of problem-solving, but in the ability to build systems, languages, and tools—has been the defining advantage. For thousands of years, this capacity has elevated humans above the rest of the animal kingdom. Not as the strongest, but as the most adaptable.
But this advantage is no longer exclusively ours.
In cities of glass and steel—the modern equivalent of dense jungle—another kind of intelligence has emerged. It does not hunt, does not eat, does not sleep. It learns. It processes. It generates. Artificial systems now write essays, compose music, diagnose illness, and generate images with a fluency that increasingly mirrors human output. A language model can produce arguments, mimic tone, even simulate hesitation. A machine can recognise faces faster than any human and predict behaviour with unsettling accuracy.
For the first time, the trait that defined human dominance is no longer uniquely human.
Often described as the rise of a “new predator,” this metaphor is imperfect. These systems do not compete for food or territory. They do not possess will, in any biological sense. And yet, they challenge something more fundamental: the assumption that intellect is our domain. We created them, trained them on the vast archive of human thought, and refined them into tools of astonishing capability. In doing so, we may have diluted the very capabilities that once set us apart.
It’s tempting to dismiss this as imitation. Machines, after all, do not understand, like humans do. They replicate patterns, predict likely sequences, and simulate coherence. When a system writes a poem or holds a conversation, it is not experiencing meaning; it is reproducing structure. The pauses, the tonal shifts, the apparent reflection—these are performances, assembled from data rather than lived experience.
But the distinction between performance and authenticity becomes less stable the more convincing the performance is. As a machine produces writing indistinguishable from a human’s, the question shifts. It is no longer simply whether the machine understands, but whether understanding is as central to value as we once believed. Much of human interaction—especially in modern, digital environments—is already mediated through signals, patterns, and expectations. If those can be replicated, even without consciousness, what remains uniquely ours?
One possible answer is embodiment. Humans do not simply think; they exist within bodies that age, feel pain, and move through space. We laugh not because it is optimal, but because something strikes us as absurd or joyful. We dance not to achieve efficiency, but to express something internal and often inarticulable. We hesitate, contradict ourselves, act irrationally, and assign meaning where none objectively exists. These are features of being human.
Machines, no matter how sophisticated, do not inhabit the world in this way. They do not anticipate death, do not experience time as a dwindling resource, do not attach memory to sensation. A machine can describe grief, but it does not carry it. It can simulate humour, but it does not find anything funny. It can generate expressions of love without ever needing to be loved.
And yet, even here, the boundary is less secure than it appears. As machines become more integrated into daily life—embedded in communication, decision-making, and creative production—the distinction between human-originated and machine-assisted thought begins to blur. If a person relies on artificial systems to write, to decide, to create, where does the human end and the tool begin? At what point does augmentation become substitution?
The question is no longer whether machines can think like humans. In many narrow ways, they already can. The more pressing question is whether humans will continue to define themselves by thinking at all.
For centuries, intellect has been treated as the pinnacle of human identity—the trait that justified our dominance and distinguished us from the rest of life. But if intellect becomes abundant, externalised, and shared with the systems we build, its significance may diminish. What remains, then, is not superiority, but difference.
Perhaps the future will not be decided by which intelligence is greater, but by which qualities cannot be transferred or replicated. Not speed, not memory, not even reasoning—but the peculiar, inconsistent, deeply embodied experience of being human. How we laugh, how we dance, how tall we stand before we fall.