Gary Marcus

The Birth of the Mind: How a Tiny Number of Genes Creates The Complexities of Human Thought

In The Birth of the Mind , award-winning cognitive scientist Gary Marcus irrevocably alters the nature vs. nurture debate by linking the findings of the Human Genome project to the development of the brain. Startling findings have recently revealed that the genome is much smaller than we once thought, containing no more than 30,000-40,000 genes. Since this discovery, scientists have struggled to understand how such a tiny number of genes could contain the instructions for building the human brain, arguably the most complex device in the known universe. Synthesizing up-to-the-minute biology with his own original findings on child development, Marcus is the first to resolve this apparent contradiction by chronicling exactly how genes create the infinite complexities of the human mind. Along the way, he dispels the common misconceptions people harbor about genes, and explores the stunning implications of this research for the future of genetic engineering. Vibrantly written and completely accessible to the lay reader, The Birth of the Mind will forever change the way we think about our origins and ourselves.

The Algebraic Mind: Integrating Connectionism and Cognitive Science

In The Algebraic Mind, Gary Marcus attempts to integrate two theories about how the mind works, one that says that the mind is a computer-like manipulator of symbols, and another that says that the mind is a large network of neurons working together in parallel. Resisting the conventional wisdom that says that if the mind is a large neural network it cannot simultaneously be a manipulator of symbols, Marcus outlines a variety of ways in which neural systems could be organized so as to manipulate symbols, and he shows why such systems are more likely to provide an adequate substrate for language and cognition than neural systems that are inconsistent with the manipulation of symbols. Concluding with a discussion of how a neurally realized system of symbol-manipulation could have evolved and how such a system could unfold developmentally within the womb, Marcus helps to set the future agenda of cognitive neuroscience.

Taming Silicon Valley: How We Can Ensure That AI Works for Us

How Big Tech is taking advantage of us, how AI is making it worse, and how we can create a thriving, AI-positive world.

On balance, will AI help humanity or harm it? AI could revolutionize science, medicine, and technology, and deliver us a world of abundance and better health. Or it could be a disaster, leading to the downfall of democracy, or even our extinction. In Taming Silicon Valley, Gary Marcus, one of the most trusted voices in AI, explains that we still have a choice. And that the decisions we make now about AI will shape our next century. In this short but powerful manifesto, Marcus explains how Big Tech is taking advantage of us, how AI could make things much worse, and, most importantly, what we can do to safeguard our democracy, our society, and our future.

Marcus explains the potential—and potential risks—of AI in the clearest possible terms and how Big Tech has effectively captured policymakers. He begins by laying out what is lacking in current AI, what the greatest risks of AI are, and how Big Tech has been playing both the public and the government, before digging into why the US government has thus far been ineffective at reining in Big Tech. He then offers real tools for readers, including eight suggestions for what a coherent AI policy should look like—from data rights to layered AI oversight to meaningful tax reform—and closes with how ordinary citizens can push for what is so desperately needed.

Taming Silicon Valley is both a primer on how AI has gotten to its problematic present state and a book of activism in the tradition of Abbie Hoffman’s Steal This Book and Thomas Paine’s Common Sense. It is a deeply important book for our perilous historical moment that every concerned citizen must read.

Kluge: The Haphazard Construction of the Human Mind

How is it that we can recognize photos from our high school yearbook decades later, but cannot remember what we ate for breakfast yesterday? And why are we inclined to buy more cans of soup if the sign says Limit 12 Per Customer rather than Limit 4 Per Customer?

In Kluge, psychology professor Gary Marcus argues convincingly that our minds are not as elegantly designed as we may believe. The imperfections result from a haphazard evolutionary process that often proceeds by piling new systems on top of old ones—and those systems don’t always work well together. The end product is a “kluge,” a clumsy, cobbled-together contraption.

Taking us on a tour of the essential areas of human experience—memory, belief, decision making, language, and happiness—Marcus unveils a fundamentally new way of looking at the evolution of the human mind and simultaneously sheds light on some of the most mysterious aspects of human nature.

Rebooting AI: Building Artificial Intelligence We Can Trust

Despite the hype surrounding AI, creating an intelligence that rivals or exceeds human levels is far more complicated than we have been led to believe. Professors Gary Marcus and Ernest Davis have spent their careers at the forefront of AI research and have witnessed some of the greatest milestones in the field, but they argue that a computer beating a human in Jeopardy! does not signal that we are on the doorstep of fully autonomous cars or superintelligent machines. The achievements in the field thus far have occurred in closed systems with fixed sets of rules, and these approaches are too narrow to achieve genuine intelligence.

The real world, in contrast, is wildly complex and open-ended. How can we bridge this gap? What will the consequences be when we do? Taking inspiration from the human mind, Marcus and Davis explain what we need to advance AI to the next level, and suggest that if we are wise along the way, we won’t need to worry about a future of machine overlords. If we focus on endowing machines with common sense and deep understanding, rather than simply focusing on statistical analysis and gatherine ever larger collections of data, we will be able to create an AI we can trust—in our homes, our cars, and our doctors’ offices. Rebooting AI provides a lucid, clear-eyed assessment of the current science and offers an inspiring vision of how a new generation of AI can make our lives better.