Christopher Summerfield – författare

‘Engaging, insightful, panoramic’ Mustafa Suleyman, CEO of Microsoft AI & Cofounder of DeepMind'An eye-opening exploration of a revolution unfolding before our eyes' New York Journal of BooksStunning advances in digital technology have introduced a new wave of human-like AI systems. Chatbots like ChatGPT, Claude, and Gemini are already reshaping economies, challenge democracies, and reshaping society in unpredictable ways. And soon, these AI systems could make autonomous decisions on their users' behalf, transforming everything we do. Understanding how they work is crucial.Can AI systems think, know, and understand?Could they manipulate or deceive you, and if so, what might they make you do?Whose interests do they represent?When will they be able to move beyond words and take action in the real world?Neuroscientist and AI researcher Christopher Summerfield explores these questions, charting AI's evolution from early ideas in the seventeenth century to today's deep neural networks. His book is the most accessible, up-to-date, and authoritative exploration of this radical technology. With an understanding of AI's inner workings, we can address the existential question of our age: can we look forward to a technological utopia, or are we writing ourselves out of history?‘As a leading authority...Summerfield is perfectly situated to explore the meaning and implications of these machines that are so uncannily like – and unlike – ourselves’ Brian Christian, co-author of Algorithms to Live by'You might choose to be alarmed, excited, or indifferent to LLMs, but you should read Chris’s book before you decide’ Mike Woolridge, author of The Road to Conscious Machines

Since the time of Turing, computer scientists have dreamed of building artificial general intelligence (AGI) - a system that can think, learn and act as humans do. Over recent years, the remarkable pace of progress in machine learning research has reawakened discussions about AGI. But what would a generally intelligent agent be able to do? What algorithms, architectures, or cognitive functions would it need? To answer these questions, we turn to the study of natural intelligence. Humans (and many other animals) have evolved precisely the sorts of generality of function that AI researchers see as the defining hallmark of intelligence. The fields of cognitive science and neuroscience have provided us with a language for describing the ingredients of natural intelligence in terms of computational mechanisms and cognitive functions and studied their implementation in neural circuits. Natural General Intelligence describes the algorithms and architectures that are driving progress in AI research in this language, by comparing current AI systems and biological brains side by side. In doing so, it addresses deep conceptual issues concerning how perceptual, memory and control systems work, and discusses the language in which we think and the structure of our knowledge. It also grapples with longstanding controversies about the nature of intelligence, and whether AI researchers should look to biology for inspiration. Ultimately, Summerfield aims to provide a bridge between the theories of those who study biological brains and the practice of those who are seeking to build artificial brains.

Since the time of Turing, computer scientists have dreamed of building artificial general intelligence (AGI) - a system that can think, learn and act as humans do. Over recent years, the remarkable pace of progress in machine learning research has reawakened discussions about AGI. But what would a generally intelligent agent be able to do? What algorithms, architectures, or cognitive functions would it need? To answer these questions, we turn to the study of natural intelligence. Humans (and many other animals) have evolved precisely the sorts of generality of function that AI researchers see as the defining hallmark of intelligence. The fields of cognitive science and neuroscience have provided us with a language for describing the ingredients of natural intelligence in terms of computational mechanisms and cognitive functions and studied their implementation in neural circuits. Natural General Intelligence describes the algorithms and architectures that are driving progress in AI research in this language, by comparing current AI systems and biological brains side by side. In doing so, it addresses deep conceptual issues concerning how perceptual, memory and control systems work, and discusses the language in which we think and the structure of our knowledge. It also grapples with longstanding controversies about the nature of intelligence, and whether AI researchers should look to biology for inspiration. Ultimately, Summerfield aims to provide a bridge between the theories of those who study biological brains and the practice of those who are seeking to build artificial brains.

Since the time of Turing, computer scientists have dreamed of building artificial general intelligence (AGI) - a system that can think, learn and act as humans do. Over recent years, the remarkable pace of progress in machine learning research has reawakened discussions about AGI. But what would a generally intelligent agent be able to do? What algorithms, architectures, or cognitive functions would it need? To answer these questions, we turn to the study of natural intelligence. Humans (and many other animals) have evolved precisely the sorts of generality of function that AI researchers see as the defining hallmark of intelligence. The fields of cognitive science and neuroscience have provided us with a language for describing the ingredients of natural intelligence in terms of computational mechanisms and cognitive functions and studied their implementation in neural circuits. Natural General Intelligence describes the algorithms and architectures that are driving progress in AI research in this language, by comparing current AI systems and biological brains side by side. In doing so, it addresses deep conceptual issues concerning how perceptual, memory and control systems work, and discusses the language in which we think and the structure of our knowledge. It also grapples with longstanding controversies about the nature of intelligence, and whether AI researchers should look to biology for inspiration. Ultimately, Summerfield aims to provide a bridge between the theories of those who study biological brains and the practice of those who are seeking to build artificial brains.

‘An engaging, insightful and panoramic survey of where we are, why we got here and what it means. A brilliant guide to the most important technology of our times’ Mustafa Suleyman, CEO of Microsoft AI & Cofounder of DeepMind'For readers fascinated by the future of AI, this book is an eye-opening exploration of a revolution unfolding before our eyes' New York Journal of BooksStunning advances in digital technology have given us a new wave of disarmingly human-like AI systems. Chatbots like ChatGPT, Claude and Gemini put the knowledge of all the world’s experts at our fingertips, and can generate meaningful sentences, equations and computer code. The march of this new technology is set to upturn our economies, challenge our democracies, and refashion society in unpredictable ways. We can expect these AI systems to soon be making autonomous decisions on the user’s behalf, with transformative impact on everything we do. It is vital we understand how they work. Can AI systems ‘think’, ‘know’ and ‘understand’? Could they manipulate or deceive you, and if so, what might they make you do? Whose interests do they ultimately represent? And when will they be able to move beyond words and take actions for themselves in the real world?To answer these questions, neuroscientist and AI researcher Christopher Summerfield explains how these strange new minds work. He charts the evolution of AI, from the earliest inklings about thinking machines in the seventeenth century to today’s gargantuan deep neural networks. The resulting book is the most accessible, up-to-date and authoritative exploration of this radical new technology. Ultimately, armed with an understanding of AI’s mysterious inner workings, we can begin to grapple with the existential question of our age: can we look forward to a technological utopia, or are we in the process of writing ourselves out of history?‘As a leading authority in both computational neuroscience and the social impacts of AI, Christopher Summerfield is perfectly situated to explore the meaning and implications of these machines that are so uncannily like – and unlike – ourselves’ Brian Christian, co-author of Algorithms to Live by‘AI expert Chris Summerfield takes us on a tour of this astonishing new technology, and helps us to understand the issues it raises. You might choose to be alarmed, excited, or indifferent to LLMs, but you should read Chris’s book before you decide’ Mike Woolridge, author of The Road to Conscious Machines

‘Engaging, insightful, panoramic’ Mustafa Suleyman, CEO of Microsoft AI & Cofounder of DeepMind'An eye-opening exploration of a revolution unfolding before our eyes' New York Journal of BooksStunning advances in digital technology have introduced a new wave of human-like AI systems. Chatbots like ChatGPT, Claude, and Gemini are already reshaping economies, challenge democracies, and reshaping society in unpredictable ways. And soon, these AI systems could make autonomous decisions on their users' behalf, transforming everything we do. Understanding how they work is crucial.Can AI systems think, know, and understand?Could they manipulate or deceive you, and if so, what might they make you do?Whose interests do they represent?When will they be able to move beyond words and take action in the real world?Neuroscientist and AI researcher Christopher Summerfield explores these questions, charting AI's evolution from early ideas in the seventeenth century to today's deep neural networks. His book is the most accessible, up-to-date, and authoritative exploration of this radical technology. With an understanding of AI's inner workings, we can address the existential question of our age: can we look forward to a technological utopia, or are we writing ourselves out of history?‘As a leading authority...Summerfield is perfectly situated to explore the meaning and implications of these machines that are so uncannily like – and unlike – ourselves’ Brian Christian, co-author of Algorithms to Live by'You might choose to be alarmed, excited, or indifferent to LLMs, but you should read Chris’s book before you decide’ Mike Woolridge, author of The Road to Conscious Machines