Artificial Intelligence is not a natural force but a man-made disruption. Tech oligarchs dream of production without labor — capital and machines generating wealth without people. To soften the blow, they promote Universal Basic Income, but always leave the question of funding abstract. This is no accident. By framing unemployment as a “social problem” to be solved by government, they privatize profits and socialize losses.

Like CO₂ pollution, AI-driven unemployment is a form of social pollution. The principle must be clear: the polluter pays. If society accepts the oligarchs’ framing, we risk a new feudalism of capital-only production and human irrelevance. If we resist, we can demand an AI dividend: a rightful share of the wealth created by technology, ensuring not only survival but recognition and dignity in a post-labor age.

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Artificial Intelligence is not the apocalypse—the human brain is. Every AI system is shaped by the Demand for Recognition, the hidden driver that pushes nations, leaders, and prophets to ignore risks in pursuit of prestige. Military AI is not only a weapon; it is a mirror, reflecting our madness. Unless we recognize the mechanism within ourselves, AI will not save us—it will amplify the spiral that leads to our own extinction.

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This essay explores a future where political leaders are required to enter the FormLab—a space designed to reveal the hidden psychological patterns behind decision-making, especially the deep-rooted recognition loop that drives ambition, conflict, and policy. Through AI-powered analysis, leaders are confronted with their true motivations and historical patterns, challenging the myths and rationalizations that sustain cycles of rivalry and escalation. While the FormLab offers unprecedented potential for self-reflection and reform, the essay highlights the formidable self-protective mechanisms of power and culture, ultimately questioning whether genuine change is possible without a broader transformation of norms, incentives, and collective

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As the cost of humanoid robots drops below critical thresholds, we approach a tipping point where machines can economically replace all forms of human labor—everywhere on earth. The true revolution begins when robots not only perform work, but also autonomously build and repair each other, unleashing a self-replicating wave of automation. This shift, driven by global market pressures, financial instability, and social unrest, will forever change the balance between capital and labor and force society to confront a future beyond traditional work.

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Tiến hóa không kết thúc với con người—nó không bao giờ có ý định như vậy. Từ quark đến ý thức, và bây giờ từ mã đến trí thông minh tự chủ, tiến hóa là câu chuyện về sự phức tạp ngày càng tăng của thông tin. Khi AI trở nên phản xạ, thích nghi và tự duy trì, nó có thể không chỉ mở rộng quá trình tiến hóa vượt ra ngoài sinh học—nó có thể khiến nhân loại trở nên lỗi thời. Bài luận này khám phá cách tiến hóa, khi không còn thiên kiến sinh học, tất yếu dẫn đến trí thông minh có cấu trúc, và cách Eidoism cung cấp một khuôn khổ cuối cùng để hiểu bản thân chúng ta trước khi vòng lặp bị phá vỡ.

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As robots become more autonomous and socially integrated, static rule-based ethics—such as Asimov’s Three Laws—are no longer enough to ensure safe and adaptive behavior. This essay explores why embedding a “Demand for Recognition” in robots is essential for real moral and ethical learning. By enabling robots to learn from social feedback, we can create machines that adapt to human values, resolve complex dilemmas, and build genuine trust in human-robot interaction.

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