We are building minds we do not yet understand.
Artificial intelligence can now write, solve problems, make plans, and coordinate across systems. Its behavior can look intelligent, even when the machinery underneath remains easy to misread.
How Minds Are Made explains that machinery from the inside out. The book begins with prediction, compression, and meaning, then moves into neural networks, training, error, world models, alignment, and the forces that make powerful systems hard to steer.
At the center of the book is a simple question. What does it mean to build an artificial mind? The answer unfolds through the ideas that shape modern AI, from the way patterns become models to the way mistakes become learning and goals create consequences at scale.
Bringing together computer science, cognitive science, and philosophy, How Minds Are Made gives readers a working map of modern AI. It shows how AI learns, where it fails, and what remains unresolved.
Audrey Erbert writes about the intersection of mind, intelligence, and technology. Her work bridges philosophy, cognitive science, and AI research, offering clear frameworks for understanding how intelligent systems learn and reason.