What Is Intelligence?https://mitpress.mit.edu/9780262049955/what-is-intelligence/What intelligence really is, and how AI’s emergence is a natural consequence of evolution.
It has come as a shock to some AI researchers that a large neural net that predicts next words seems to produce a system with general intelligence. Yet this is consistent with a long-held view among some neuroscientists that the brain evolved precisely to predict the future—the “predictive brain” hypothesis.
In What Is Intelligence?, Blaise Agüera y Arcas takes up this idea—that prediction is fundamental not only to intelligence and the brain but to life itself—and explores the wide-ranging implications. These include radical new perspectives on the computational properties of living systems, the evolutionary and social origins of intelligence, the relationship between models and reality, entropy and the nature of time, the meaning of free will, the problem of consciousness, and the ethics of machine intelligence.
The book offers a unified picture of intelligence from molecules to organisms, societies, and AI, drawing from a wide array of literature in many fields, including computer science and machine learning, biology, physics, and neuroscience. It also adds recent and novel findings from the author, his research team, and colleagues. Combining technical rigor and deep up-to-the-minute knowledge about AI development, the natural sciences (especially neuroscience), and philosophical literacy, What Is Intelligence? argues—quite against the grain—that certain modern AI systems do indeed have a claim to intelligence, consciousness, and free will.
What Is Life?https://mitpress.mit.edu/9780262554091/what-is-life/What life is, and how its essence can be understood as computation that grows more complex over time in symbiotic relationships.
In 1944, quantum mechanics pioneer Erwin Schrödinger wrote a slim but influential volume, What Is Life?, posing the primary question that rendered biology so mysterious to a physicist. How can life and all its attendant complexities come to exist in a random universe, governed by simple laws, whose disorder only increases over time?
This small book, richly illustrated and written for a general audience, offers a deep and surprising answer, drawing on decades of theory and existing literature as well as recent experiments in artificial life. Beginning with ideas developed by Alan Turing and John von Neumann in the mid-twentieth century, Agüera y Arcas shows how self-reproduction, hence life, is inherently computational. Life evolves spontaneously in environments capable of supporting computation, like our own universe, and grows more complex over time as it enters symbiotic relationships with itself.
What Is Life? is also the first part of Agüera y Arcas’s larger book What Is Intelligence?, which further develops a computational and symbiotic perspective on intelligence, from simple organisms to brains and societies to AI.