I spend a lot of time marveling at humanity's progress, our ability to traverse oceans, develop vaccines, communicate instantly across the world, and create art that stirs the imagination, but I am also acutely aware that we tend to attribute these achievements to individual genius. We celebrate the inventors, the brilliant minds that seem to rise above the rest, those who, by sheer force of will, lead us into the future. But beneath this narrative lies a deeper truth: human progress is not a product of isolated brilliance. It is the result of something far greater, something uniquely human, the collective brain.
The collective brain is the idea that human intelligence is a cumulative, culturally-driven phenomenon. It emerges not from the innate computational power of any single individual but from the intricate networks we form, the connections we sustain, and the knowledge we pass down across generations. Cultural evolution, social learning, and the division of cognitive labor make us collectively, and thereby individually, smarter.
The Myth of the Heroic Inventor
The traditional narrative of human innovation often highlights solitary figures, the inventors, the geniuses, as the engines of progress. Yet, historical and empirical evidence reveals that breakthroughs are rarely the result of lone brilliance. Inventions like calculus, the radio, and even the electric car were often developed independently by multiple people at around the same time. This phenomenon, known as multiple discovery, suggests that the key ingredients for these innovations were already present, circulating within the networks of knowledge in which these individuals operated.
In truth, innovation is more about the recombination of existing ideas than the emergence of completely novel concepts. The so-called heroic inventors were embedded within rich networks of knowledge, drawing on the accumulated wisdom of their predecessors and contemporaries. Human progress is less about flashes of individual brilliance and more about the slow, steady accumulation of cultural knowledge across generations. However, it is also important to acknowledge that individuals play a crucial role as catalysts or synthesizers within these networks. The heroic inventors were often those who had the exceptional ability to synthesize existing knowledge in novel ways and push society forward.
Some may argue that individual genius still plays a primary role in groundbreaking discoveries. It is undeniable that individuals like Newton, Einstein, or Marie Curie made significant contributions that changed the world. However, even these geniuses built upon existing knowledge, and their discoveries were deeply influenced by the cultural and intellectual contexts of their times. Newton himself famously said, "If I have seen further, it is by standing on the shoulders of giants." The brilliance of individual inventors is magnified by the collective brain, which provides the foundation upon which they build.
The Cultural Brain Hypothesis
Humans are not born geniuses; we become smart by standing on the shoulders of cultural giants. The Cultural Brain Hypothesis posits that human intelligence evolved not merely through individual problem-solving but as a response to the need to store, transmit, and build upon cultural knowledge. Our larger brains, extended childhoods, and social structures evolved to facilitate this process of cultural accumulation. Over time, humans have developed cognitive tools, such as language, writing, and numerical systems, that allow us to externalize our thoughts, share them with others, and refine them collaboratively.
This cumulative cultural evolution has led to the development of what we call "thinking tools." These are not just physical tools like the wheel or the lever, but also conceptual frameworks like mathematics and scientific reasoning. Such tools do not reside within the brain of any one person but are distributed across the community, accessible to anyone who learns them. As a result, individual intelligence is not solely a function of personal cognitive capacity; it is also a reflection of the tools and knowledge available within one’s cultural environment.
Cultural transmission mechanisms play a vital role in this process. Education, storytelling, and social learning are all key ways in which knowledge is accumulated and transferred across generations. Formal education, in particular, allows for the structured transmission of cultural tools, while storytelling helps embed values, lessons, and shared experiences in ways that are memorable and engaging. Social learning, the ability to learn from observing others, ensures that valuable skills and knowledge are not lost but instead passed on and refined.
The Role of Social Networks and Diversity
A key determinant of cultural innovation is the size and interconnectedness of social networks. Larger, more diverse populations are better at generating and retaining innovations because they provide a greater pool of ideas and more opportunities for those ideas to interact. Diversity, in particular, acts as a catalyst for innovation, introducing new perspectives that can lead to unexpected recombinations of existing knowledge. Studies have shown that more cognitively diverse communities, those composed of individuals with different backgrounds, skills, and ways of thinking, tend to produce more patents, more scientific discoveries, and more creative solutions to complex problems.
However, there is a balance to be struck. While interconnectedness is crucial for cultural accumulation, too much interconnectedness can lead to conformity and the premature convergence on suboptimal solutions. For example, in the early 20th century, the electric car was a viable competitor to gasoline-powered vehicles, but the rapid spread of the Ford Model T, which was cheaper and had a longer range, led to the near-extinction of electric vehicles for almost a century. Electric cars were initially popular in urban areas due to their quiet operation, ease of use, and lack of exhaust fumes, but the mass production of the affordable Model T and the availability of cheap gasoline ultimately gave gasoline cars the competitive edge. In highly interconnected networks, ideas that may not be optimal in the long term can spread quickly due to factors like social pressure or immediate convenience, stifling the development of potentially superior alternatives.
Distributed Cognition and the Division of Labor
As human societies grew more complex, so did the knowledge required to thrive within them. No single individual could possibly master all the skills needed for survival, let alone for societal advancement. This led to a division of cognitive labor, a distribution of knowledge and expertise across different members of a community. In early human societies, this might have meant a division between those who specialized in tool-making and those who specialized in hunting or gathering medicinal plants. Today, it means that we have scientists, engineers, artists, and countless other specialists who contribute to the collective pool of knowledge.
A modern example of this division of cognitive labor is open-source software development. Projects like Linux or Python are built collaboratively by thousands of contributors, each bringing their own specialized knowledge to the table. No single developer could create these complex systems alone; instead, they emerge from the contributions of a diverse community. Similarly, scientific collaborations, such as the Human Genome Project, involve experts from multiple disciplines working together to achieve what would be impossible for any individual.
This division of labor allows societies to store and transmit an ever-growing body of knowledge without requiring each individual to learn everything. Instead, people learn from specialists, trust in the expertise of others, and rely on institutions, like schools, universities, and research labs, to organize and disseminate knowledge. This collective intelligence, distributed across individuals and institutions, is what allows humans to solve problems far beyond the capacity of any single brain.
Epistemic Institutions
The effectiveness of the collective brain depends not just on the diversity and size of the population but also on the institutions that govern how information is shared and used. Political, legal, and scientific institutions act as epistemic filters, shaping the way knowledge is produced, validated, and transmitted. These institutions help shape collective knowledge and decision-making processes, ensuring that the insights of the many are distilled into actionable wisdom.
For example, scientific journals, peer review, and academic conferences are all cultural innovations designed to enhance the reliability of information and encourage the exchange of ideas. Similarly, democratic institutions that promote free speech and debate help societies make better collective decisions by allowing a diversity of voices to be heard and considered. Beyond these, other epistemic institutions, such as libraries, museums, and even digital platforms like the internet and social media, play crucial roles in preserving and disseminating knowledge. Libraries and museums act as repositories of collective human experience, while the internet and social media enable rapid sharing and democratization of information, though they also introduce challenges related to misinformation and the maintenance of quality.
The Impact of Technology on the Collective Brain
Technology, particularly the internet and artificial intelligence, has transformed the way we connect, share information, and build knowledge. The internet has amplified the power of the collective brain, allowing for near-instantaneous sharing of information across the globe. It has facilitated the formation of new networks, enabled collaboration on an unprecedented scale, and provided access to vast repositories of knowledge.
However, these advancements also come with challenges. The spread of misinformation, echo chambers, and the potential for groupthink are amplified in the digital age. While technology can enhance our collective intelligence, it also requires us to develop new epistemic institutions and norms to manage the quality and reliability of the information we consume. Artificial intelligence, too, offers both opportunities and risks. AI systems can help process large amounts of data, identify patterns, and support human decision-making, but they also pose ethical questions and require careful integration into our collective brain to ensure they serve to enhance rather than undermine human knowledge.
The True Source of Human Brilliance
The story of human progress is not the story of individual genius. It is the story of cultural evolution, of networks of minds building on the knowledge of previous generations, of collective problem-solving and distributed cognition. We are smarter not because our individual brains are uniquely powerful but because we have learned to connect those brains, to share information, and to build institutions that enhance our collective intelligence.
In recognizing the importance of the collective brain, we shift our understanding of what makes us smart. It is not about celebrating the lone genius or the heroic inventor but about fostering the connections, diversity, and institutions that allow us to think, innovate, and thrive together. The true source of human brilliance lies not in the individual, but in the collective, in the culture that we inherit, contribute to, and pass on.
Strengthening the Collective Brain
To strengthen the collective brain, we must actively participate in the systems that make us smarter. This means promoting cognitive diversity, supporting education and knowledge-sharing institutions, and engaging in critical thinking and constructive dialogue. We should foster environments where different perspectives are valued, where information is scrutinized for accuracy, and where collaboration is encouraged. By doing so, we contribute to a world where human potential is amplified through our collective efforts, ensuring that the brilliance of our species continues to make significant progress.
Stay curious
Dr Colin W.P. Lewis
Image from The Human Genome Project
This is extremely well written. I envy the craftsmanship!
Biological evolution gave us the cognitive hardware to pass information from one generation to the next without having to wait for genetics to do it.
This “cultural evolution” went into overdrive as we urbanized, giving rise to what I call the “social supercomputer.”
Same idea: https://www.lianeon.org/p/the-social-supercomputer