The article argues that while artificial intelligence has become one of the most powerful and heavily funded technological movements of our time, there is still no clear or shared understanding of what “intelligence” actually means. Drawing on the works of Karen Hao (Empire of AI), Max Fisher (The Chaos Machine), and Dwarkesh Patel (The Scaling Era), the piece presents a critical overview of the AI industry’s ambitions, contradictions, and consequences. It highlights how AI development is largely driven by the assumption that human intelligence can be reduced to language and replicated through massive data and computation, despite the lack of a precise definition. The article also connects current AI expansion to earlier technological patterns—especially social media—where engagement-driven systems reshaped human behavior in unintended and often harmful ways.
At the same time, the narrative exposes a deeper “god complex” within the industry: a belief among some technologists that building superintelligent systems is both inevitable and beyond human control, even as they acknowledge the risks. This mindset is paired with enormous environmental and social costs, including resource extraction, energy consumption, and global inequalities. While AI has already contributed to advances in medicine, science, and everyday life, the article suggests that its development is proceeding without sufficient ethical clarity or accountability. Ultimately, these books collectively portray AI not just as a technological revolution, but as a reflection of human ambition, uncertainty, and the unresolved question of what it truly means to think, know, and be intelligent.
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