## Intelligence: What It Is, Why It Matters, and Why It Resists Simple Answers As a species, we are obsessed with intelligence. It is what gives us our edge as *Homo sapiens* — what many of us depend on in our lives, and what some worry will end up destroying us. Yet for all our obsession, we remain remarkably uncertain about what intelligence actually is. And that uncertainty shapes everything from how we design cognitive enhancement technologies to how we think about the risks of artificial intelligence. ### What Is Intelligence? Broad definitions of intelligence tend to focus on our combined abilities to remember, reason, imagine, learn, and use knowledge and materials to actively alter the world we live in. In this respect, "intelligence" becomes a convenient shorthand for what makes us different as a species. But beyond that, agreement breaks down. In 1904, psychologist Charles Spearman proposed that all cognitive abilities share a common underlying factor — general intelligence, or *g*. This idea has proven remarkably durable: IQ tests, academic assessments, and many hiring practices still treat intelligence as a single quantity that can be measured on a scale. Against this, psychologist Howard Gardner proposed the idea that there are multiple types of intelligence — musical, visual/spatial, verbal, logical, social, emotional, and more — representing fundamentally different aspects of human capability. Gardner even included an "existential intelligence" that begins to tap into aspects of belief and spirituality. The tension between these views has not been resolved. Most cognitive scientists would agree that intelligence is not a quantity that can be arbitrarily dialed up and down, but rather a complex integration of general and specialized capabilities that are, for the most part, adaptive within a specific context. ### How the Book Explores It *Films from the Future* tackles intelligence most directly in Chapter 5, through the film *Limitless*. The premise — a pill called NZT-48 that unlocks the full potential of the human brain — depends on the persistent myth that we only use 10–20 percent of our brains and that chemical enhancement can unlock the rest. As Andrew Maynard points out, this is pure scientific bunkum: research has shown that we use every last ounce of our brain, even if we still do not know precisely what every part is doing at any given time. But the deeper problem the chapter identifies is not the myth itself — it is the assumption underneath it: that intelligence is a single dial, and turning it up will make you better at everything. The book argues that this assumption is dangerously incomplete. Being smart does not make you good. Intelligence as portrayed in *Limitless*, and as it is often perceived in real life, has no inherent moral compass. The book reframes the question: if personal worth is not dependent on memory and reasoning alone, but is instead a complex combination of ways you enhance the lives of others, then intelligence — and its enhancement — takes on a very different character. The theme returns in Chapter 8 (*Ex Machina*), where the question shifts from human intelligence to machine intelligence, and in Chapter 9 (*Transcendence*), where the assumptions required for superintelligence are subjected to Occam's Razor. ### Where Things Stand Today The debate over what intelligence means has intensified rather than settled. Traditional psychometric approaches — IQ tests and the *g* factor — remain widely used but increasingly contested. Studies show that general intelligence accounts for perhaps 35–50 percent of the variance in cognitive test performance, leaving substantial room for capabilities that standard tests do not capture. Gardner's multiple intelligences framework continues to influence education worldwide, though critics argue that the intelligences have not been shown to be independent in the way the theory proposes. Gardner himself has noted that as large language models carry out certain forms of computation more proficiently, other less classically computational forms of intelligence — social, emotional, embodied — may come to be more valued. Meanwhile, the rise of AI has added a new dimension. The meaning of artificial general intelligence, and whether it means anything coherent at all, is hotly debated. Many researchers who study biological intelligence are skeptical that cognitive aspects of intelligence can be separated from their embodied, social, and emotional dimensions and captured in a disembodied machine. The question the book raises through *Limitless* — what do we actually mean when we say "intelligent"? — is now being asked about machines with an urgency that was absent in 2018. ### Why It Matters How we define intelligence determines what we try to enhance, what we try to build, and whose contributions we value. A narrow definition — intelligence as processing speed and memory — leads to narrow solutions: pills that sharpen focus, algorithms that optimize prediction, tests that sort people into categories. A broader definition — intelligence as the capacity to navigate complexity, to collaborate, to create, to care — leads somewhere quite different. The book's argument is that we have collectively fallen into the habit of treating a small slice of human capability as the whole of intelligence, and that this habit distorts our relationship with technology. It shapes who gets access to cognitive enhancement, how we assess the risks of AI, what we reward in education, and what we overlook in human experience. For millennia, we have tried to understand intelligence by using our intelligence to study itself — bootstrapping, as Maynard describes it, in a way that each generation believes it has finally got right. The humility the book advocates — the recognition that intelligence is richer, more varied, and less well understood than we tend to assume — is not just an academic point. It is a practical one, with consequences for every technology designed to augment, replicate, or surpass the human mind. ### Explore Further - [Smart Drugs and Cognitive Enhancement](https://spoileralert.wtf/md-files/est_smart_drugs.md) — chemical approaches to enhancing specific cognitive functions - [Artificial Intelligence](https://spoileralert.wtf/md-files/est_artificial_intelligence.md) — machine intelligence, its current capabilities, and its limits - [Superintelligence](https://spoileralert.wtf/md-files/est_superintelligence.md) — the speculative extreme of intelligence and the assumptions it requires - [Brain-Computer Interfaces](https://spoileralert.wtf/md-files/est_brain_computer_interfaces.md) — technological augmentation of cognitive capability - [Power, Privilege, and Access](https://spoileralert.wtf/md-files/rei_power_privilege_access.md) — who benefits when intelligence enhancement is available to some but not all ## Further Reading - [Defining intelligence: Bridging the gap between human and artificial perspectives — *Intelligence*, 2024](https://www.sciencedirect.com/science/article/pii/S0160289624000266) — Examines the challenge of defining intelligence in an era where the concept must accommodate both biological and artificial systems. Argues that traditional psychometric approaches and AI-centric definitions capture different aspects of a phenomenon that resists unified description. - [Intelligence — Open Encyclopedia of Cognitive Science, MIT](https://oecs.mit.edu/pub/r4aze9cq/release/1) — A comprehensive overview of intelligence from a cognitive science perspective, covering the history of intelligence research, the *g* factor debate, and the relationship between intelligence and broader cognitive capabilities. A strong starting point for understanding the landscape. - [Howard Gardner — Multiple Intelligences: New Strands of Evidence from Neuroscience](https://www.howardgardner.com/howards-blog/multiple-intelligences-new-strands-of-evidence-from-neuroscience) — Gardner's own reflection on how neuroscience findings relate to his multiple intelligences framework, including his observation that as AI handles certain computational tasks more proficiently, non-computational forms of intelligence may become more valued. - [Debates on the nature of artificial general intelligence — *Science*, 2024](https://www.science.org/doi/10.1126/science.ado7069) — Melanie Mitchell's analysis of the AGI debate, examining what "general intelligence" means for machines and why cognitive scientists, AI researchers, and policymakers cannot agree. Directly relevant to the questions the book raises through *Ex Machina* and *Transcendence*. - [On the universal definition of intelligence — arXiv, 2025](https://arxiv.org/pdf/2601.07364) — Proposes the Extended Predictive Hypothesis, examining six representative definitions of intelligence — IQ testing, complex problem-solving, reward optimization, environmental adaptation, learning efficiency, and predictive ability — and argues that no single definition is sufficient. - [Q&A with author Andrew Maynard on Films from the Future — Future of Being Human](https://www.futureofbeinghuman.com/p/everything-you-wanted-to-know-about-films-from-the-future-but-were-afraid-to-ask-f75b11efec13) — Andrew Maynard's own behind-the-scenes discussion of the book, including his approach to exploring the relationship between technology, intelligence, and what it means to navigate a complex future. - [The Moviegoer's Guide to the Future — ASU course page](https://futureofbeinghuman.asu.edu/fis-338-the-moviegoers-guide-to-the-future/) — The undergraduate course at Arizona State University where students use the book's films — including *Limitless* — to explore emerging technologies and the questions they raise about intelligence, enhancement, and the future of being human.