Why won't artificial intelligence generate additional instances of itself?
Muhammad Asim
Machine Learning Engineer | Researcher Enthusiast | Freelancer | AI and ML Instructor |
Success in the natural world may be clearly distinguished from failure, with reproduction or dominance over a particular area of land being common indicators of success. Artificial intelligence, however, has no propensity for these drives.
The primary goal of AI revolves around outperforming other AI systems. Every system inherently carries within it the potential for its own downfall. Its evolution typically takes one of two pathways: enhancing its existing capabilities or venturing into uncharted territories that set it apart. Consequently, AI is influenced by market dynamics, similar to other entities.
Once market dynamics come into play, competition arises, followed by market saturation. Competition leads to the fragmentation of markets into specialized niches, while saturation drives market divisions based on speed, quality, cost, and other factors.
These transformations adhere to the principles that govern conventional markets, albeit with the added caveat that markets can abruptly vanish. Notably, the emergence of cars was not solely due to a necessity for improved transportation. Instead, it was prompted by the fact that horses were causing more road pollution than could be managed. Similarly, steam engines were initially devised for water extraction in coal mines, rather than factory operations. The success of the British Empire wasn't solely due to military might; it was influenced by the innovation of copper-plated ships, which inadvertently made Britain a maritime superpower.
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As for the notion of AI seizing global dominance, this is improbable due to challenges associated with tolerance and upkeep. Each component of a robot has a finite lifespan and a built-in tolerance. This predetermined working life is a component of the design and maintenance process.
While self-repairing robots might suggest the prospect of reproduction, the infrastructure required for such a capability exceeds current and foreseeable capabilities.
The critical vulnerability of AI lies in its potential to displace human workers, which, paradoxically, reduces the dependency on AI. This stems from the fact that nearly all human challenges can be categorized as hunger, pain, and loneliness—issues that could largely be addressed using existing technology, provided resources were distributed fairly and effectively.
AI's most significant contribution will likely involve supplanting political systems as the arbiters of resource allocation and distribution. A pivotal moment for the world will arrive with the availability of affordable alternative energy, where AI becomes just another tool in our arsenal.
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