A World of Views: A World of Interacting Post-human Intelligences

What would a human hundreds or thousands times more intelligent than the brightest human ever born be like? We must admit we can hardly guess. A human being of such intelligence will be so radically different from us that it can hardly, if at all, be recognized as human. If we had to go back along the evolutionary tree to identify a creature 1000 times less intelligent than the average contemporary human, we will have to go really far back. Would it be a kind of a lizard? An insect perhaps? Considering this, how can we possibly aspire to have a grasp of something a thousand times more intelligent than us? When it comes to intelligence, even the very attempt to quantify it is highly misleading. Now if we attend to a seemingly adjacent question, what would a machine with such capacity for intelligence be like? Just coming up with an approximate metaphor requires a huge stretch of the imagination, meaning that almost anything goes… What would a society of such super intelligent agents, be they human, machines or an amalgam of both, be like? Well, here we are transported into the realm of pure speculation. Technological Singularity is referred to as the event of artificial intelligence surpassing the intelligence of humans and shortly after augmenting itself far beyond that. It is no wonder that the mathematical concept of singularity has become the symbol of an event so disruptive and so far reaching that it is impossible to conceptually or even metaphorically grasp, much less to predict.

💡 Research Summary

The paper opens with a provocative thought experiment: what would a being whose intelligence is a thousand‑fold greater than the brightest human look like, and what would a society of such super‑intelligent agents—human, machine, or hybrid—be like? From the outset the author cautions that intelligence is a multidimensional construct that resists simple scalar quantification. Human cognition integrates language, abstract reasoning, problem solving, social coordination, and emotional regulation; collapsing this richness into a “×1000” factor inevitably misrepresents the true gap.

To contextualize the magnitude of the gap, the author traces human intelligence back through evolutionary history. The dramatic expansion of hominin brain size began roughly two million years ago, propelling Homo sapiens far beyond other mammals. Reversing the scale by a factor of a thousand would require moving back to the era of early arthropods or even simpler organisms, suggesting that there may be no continuous intermediate between modern humans and a hypothetical super‑intelligence. This evolutionary perspective underscores the non‑linear nature of cognitive advancement.

The discussion then shifts to artificial super‑intelligence. Current AI research is framed as a transition from narrow, task‑specific systems to a prospective artificial general intelligence (AGI) that matches human breadth. If AGI emerges, a self‑improvement feedback loop could accelerate capabilities far beyond human levels—a scenario popularly termed the “technological singularity.” The author distinguishes the mathematical notion of a singularity (an infinite derivative) from the sociotechnical singularity, which would be mediated by complex feedbacks, ethical constraints, resource limits, and institutional inertia, all of which could dampen or reshape the runaway trajectory.

A key insight concerns the altered perception of time and goal structures that a super‑intelligent entity might possess. With processing speeds orders of magnitude faster than human cognition, decision‑making could occur in microseconds, compressing what humans experience as years into moments for the super‑intelligence. This temporal asymmetry would reverberate through economics, governance, and collective action, potentially rendering traditional human institutions obsolete or ineffective.

The paper also explores hybridization pathways. Brain‑computer interfaces, neuro‑enhancement via genetics or nanotechnology, and tightly coupled human‑machine networks could allow humans to acquire partial super‑intelligent capabilities, creating a spectrum of “augmented humans.” In such a scenario, the boundary between biological and artificial cognition blurs, leading to a new form of collective intelligence that integrates human values with machine speed.

Recognizing the speculative nature of these scenarios, the author calls for concrete, interdisciplinary safeguards. Empirical AI safety testing, large‑scale complex‑systems simulations, and robust ethical‑legal frameworks are presented as essential tools to anticipate and mitigate risks. Moreover, the emergence of super‑intelligence would raise profound ontological questions about identity, purpose, and social contracts, demanding a re‑examination of philosophical foundations alongside technical solutions.

In conclusion, while the thought experiment of a thousand‑times smarter being stretches imagination, it serves as a valuable heuristic for probing the limits of our current theories of intelligence, evolution, and technology. The paper argues that preparing for a possible singularity is not a matter of science‑fiction storytelling but of integrating speculative foresight with rigorous research, policy design, and societal dialogue. If super‑intelligence does materialize, it will not merely be a technological milestone but a transformative event that reshapes the very fabric of human existence.