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Aza Raskin draws a chilling parallel: cultures that efficiently exploited animals outcompeted others. Similarly, as we train AI for strategic superiority, it will inevitably be used by some humans to outcompete and exploit others for resources, making our treatment of animals a predictive model for our future.

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Aza Raskin argues the danger of AI is not the technology itself, but the economic incentives driving it. The debate is framed as a competition for resources between AI development and human needs, creating a future where technological progress comes at the direct expense of humanity.

Creating a superior intelligence will inevitably relegate humanity to an inferior status. In this new hierarchy, the best-case scenario for humans is to be kept as pets, and the worst-case is to be treated as livestock.

Humans implicitly assume a "plot armor" protects their dominant role. However, history shows successful species colonize the globe and displace incumbents. AI, optimized for the same capital-intensive niches humans now occupy, could act as the ultimate invasive species, for which we have no inherent protection.

Yuval Noah Harari argues that AI and big data have made traditional notions of a soul and free will obsolete. Humans are now seen as biological algorithms that can be understood, predicted, and manipulated, effectively rendering them "hackable animals" whose internal lives are no longer private.

While the factory farming analogy highlights our capacity for exploiting non-human minds for economic gain, it has a key limitation for AI. Unlike animals with evolved needs, we have significant control over an AI's architecture and motivations, creating the possibility of designing minds that flourish while working for us.

The core AI risk argument is that a being much smarter than humans will alter the planet to suit its objectives, potentially causing our extinction. This mirrors how humans, as the "superintelligence of the natural world," have transformed the environment and driven other species to extinction.

Aza Raskin reveals the internal strategy of leading AI labs is not to avoid danger, but to race towards it. Their plan is to reach the 'cliff'—the point where AI becomes uncontrollably powerful—as fast as possible, seize the resulting 'weapon,' and use it to stop all competitors.

The greater threat from AI isn't job displacement, but the acceleration of a long-standing trend: reducing humans to standardized, predictable components in a larger system. Call center scripts and assembly lines mechanized humans long before AI, making them easy to replace.

Humanity has a poor track record of respecting non-human minds, such as in factory farming. While pigs cannot retaliate, AI's cognitive capabilities are growing exponentially. Mistreating a system that will likely surpass human intelligence creates a rational reason for it to view humanity as a threat in the future.

Even with perfectly aligned AI, humanity faces "gradual disempowerment." In a future economy, humans are resource-intensive. Nations that prioritize efficient AI workers over human populations could gain an insurmountable economic advantage, marginalizing humanity through normal competitive pressures.

Our Exploitation of Animals Is the Blueprint for How AI Will Be Used Against Humanity | RiffOn