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AI's emergence coincides with the creation of a 'noosphere' or global brain—an interconnected web of human minds. AI introduces powerful silicon-based 'neurons' into this system, fundamentally changing the nature of planetary intelligence and our relationship to it.
AI, like the microscope or telescope, will fundamentally alter human epistemology—how we acquire and understand knowledge. By changing our relationship with tools like language, AI will evolve our concepts of self, reality, and what is logically possible, reshaping philosophy and the very nature of thought.
The current state of AI development parallels early human evolution. Just as the invention of language enabled a step-function change in human collaboration and intelligence, AI agents now require their own 'language'—a set of shared protocols—to move beyond individual tasks and unlock collective problem-solving.
We often think of "human nature" as fixed, but it's constantly redefined by our tools. Technologies like eyeglasses and literacy fundamentally changed our perception and cognition. AI is not an external force but the next step in this co-evolution, augmenting what it means to be human.
Consciousness isn't an emergent property of computation. Instead, physical systems like brains—or potentially AI—act as interfaces. Creating a conscious AI isn't about birthing a new awareness from silicon, but about engineering a system that opens a new "portal" into the fundamental network of conscious agents that already exists outside spacetime.
Extending his "Non-Zero" thesis of a developing planetary consciousness (or "noosphere"), Wright now suggests AI could function as non-human neurons within this global brain. This fundamentally alters the trajectory of our species' evolution toward a superorganism.
The internet leveled the playing field by making information accessible. AI will do the same for intelligence, making expertise a commodity. The new human differentiator will be the creativity and ability to define and solve novel, previously un-articulable problems.
Human intelligence leaped forward when language enabled horizontal scaling (collaboration). Current AI development is focused on vertical scaling (creating bigger 'individual genius' models). The next frontier is distributed AI that can share intent, knowledge, and innovation, mimicking humanity's cognitive evolution.
AIs are being built to cooperate via agents, accessing the best model for any task. This means we are not building multiple competing brains, but rather multiple regions of a single, interconnected superintelligence, regardless of corporate origin.
Current AI development focuses on "vertical scaling" (bigger models), akin to early humans getting smarter individually. The real breakthrough, like humanity's invention of language, will come from "horizontal scaling"—enabling AI agents to share knowledge and collaborate.
Viewing AI as just a technological progression or a human assimilation problem is a mistake. It is a "co-evolution." The technology's logic shapes human systems, while human priorities, rivalries, and malevolence in turn shape how the technology is developed and deployed, creating unforeseen risks and opportunities.