{"product_id":"foundations-of-world-models-anthropology-philosophy-neuroscience-economics-and-civilizational-extensions-9798197650023","title":"Foundations of World Models: Anthropology, Philosophy, Neuroscience, Economics, and Civilizational Extensions","description":"\u003cp\u003e • Author(s): Bruno Bianchini\u003cbr\u003e • Publisher: Independently Published\u003cbr\u003e • Publisher Imprint: Independently Published\u003cbr\u003e • BISAC: General\u003c\/p\u003e\u003cp\u003eWe are not living in the age of language AI but in the age of \u003cb\u003eworld models\u003c\/b\u003e-systems that learn to predict, simulate, and plan by building internal representations of reality. Mistaking fluent language for genuine intelligence is the central illusion of our time.\u003cbr\u003e\u003cb\u003ePart I dismantles this illusion.\u003c\/b\u003e The human brain is wired to detect minds behind language, a survival mechanism that AI now exploits. Large language models are not thinking; they are statistically predicting the next word. The failure of symbolic AI and the \"symbol grounding problem\" show that intelligence requires more than rules and symbols-it requires embodiment and a connection to the world.\u003cbr\u003e\u003cb\u003ePart II explores how biological minds model reality.\u003c\/b\u003e The brain is a prediction engine, constantly generating models of the world and updating them via prediction error (the free energy principle). This predictive processing framework explains perception, action, and even hallucinations. True understanding requires \u003cb\u003eembodiment\u003c\/b\u003e-a body to ground meaning-and \u003cb\u003ecausal reasoning\u003c\/b\u003e, not just pattern recognition. A world model must distinguish correlation from causation to intervene, plan, and survive.\u003cbr\u003e\u003cb\u003ePart III explains how machines are building reality.\u003c\/b\u003e Modern AI architectures (like Dreamer) combine perception, latent spaces, and dynamics modules to imagine possible futures. Machines can now traverse \"geometries of intelligence\" to generate novel outputs. However, they still lack persistent memory, robust agency, and the integrated information that may be necessary for genuine experience. The hard problem of consciousness remains unsolved, but as AI becomes more sophisticated, our moral obligations toward it may grow.\u003cbr\u003e\u003cb\u003ePart IV confronts the economic revolution.\u003c\/b\u003e When intelligence, the ultimate scarce resource, becomes a cheap commodity, the end of labor as we know it is inevitable. This is not just job loss-it is the severing of identity, purpose, and the social contract tied to work. The result could be \u003cb\u003epost-scarcity abundance\u003c\/b\u003e (liberation) or a \u003cb\u003enew feudalism\u003c\/b\u003e (where a few owners of AI infrastructure control all cognitive output). The key questions are: Who owns the data, the compute, and the models? Without radical institutional change, inequality will become structurally permanent.\u003cbr\u003e\u003cb\u003ePart V maps the geopolitics of cognition.\u003c\/b\u003e We are already in an \u003cb\u003eAI Cold War\u003c\/b\u003e between the US and China, fought over semiconductors, talent, data, and standards. This rivalry is creating a new form of \u003cb\u003eintelligence colonialism\u003c\/b\u003e, where the Global South provides raw data to the center in exchange for finished AI services, reinforcing dependency. The struggle for \u003cb\u003esovereign AI\u003c\/b\u003e-a nation's capacity to control its own cognitive infrastructure-is now a core security issue, but true independence is hindered by the immense concentration of chips (TSMC), compute (cloud giants), and undersea cables.\u003cbr\u003e\u003cb\u003ePart VI turns to the human question.\u003c\/b\u003e If machines can know everything, what is education for? It must shift from knowledge transmission to developing \u003cb\u003ecapability, wisdom, and care\u003c\/b\u003e. The sacred is not threatened by AI; it is clarified as the space of irreducibility-the territory that no model can capture, including finitude, suffering, and meaning. In a world of automation, meaning is not found in productivity but in \u003cb\u003ecommunity, craft, care, and contemplation\u003c\/b\u003e. We are the species that builds minds. Our final task is not to compete with machines but to learn to live alongside them, bringing our mortal, wondering perspective to a universe we now predict together.\u003cbr\u003e\u003cb\u003eConclusion: \u003c\/b\u003e The convergence of biological and artificial world models is the defining event of our century. It forces humanity to mature-to develop wisdom as fast as we develop power The future is not predetermined; it depends on the choices we make about ownership, governance, and what we consider sacred.\u003cbr\u003e\u003c\/p\u003e","brand":"Independently Published","offers":[{"title":"Paperback","offer_id":47891467534487,"sku":"9798197650023","price":2478.0,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0666\/3471\/1191\/files\/9798197650023.webp?v=1781183797","url":"https:\/\/atlanticbooks.com\/products\/foundations-of-world-models-anthropology-philosophy-neuroscience-economics-and-civilizational-extensions-9798197650023","provider":"Atlantic Books","version":"1.0","type":"link"}