A Part of the UK’s £1 Billion Initiative to Create World-Changing Technologies.
About Us
Going beyond the oversimplified 20th-century neuroscience concept of pyramidal point neurons—on which current brain theories, AI, and neuromorphic hardware are based—we unlock the revolutionary computational potential of recent breakthroughs in cellular neurobiology and computational neuroscience, bridging the gap between the brain and the mind. For the first time, we relate thought to neocortical pyramidal two-point cells, uncovering the cellular psychology of mental states.
Our recent research demonstrates convergent validity among cutting-edge cellular neurobiological discoveries, high-resolution modelling, and biologically plausible simulations. This work shows that pyramidal two-point cells operate in distinct modes, including during slow-wave sleep, the typical wakeful state (common sense), and imaginative thought.
Our study suggests that these cellular mechanisms could be harnessed in machines to enable cognitive capabilities that are both effective and economical, with far-reaching implications for brain science, psychology, physiology, psychopathology, and technology—particularly AI.
For most of human history, people relied on their direct experience, using or misusing information based on clear rewards or consequences. They rarely depended on information reported by others. However, in the twenty-first century, humanity finds itself in a world where shared information plays a much larger role. This shift underscores the need to re-learn how to trust direct experience and its common-sense interpretation, which is usually valid—though not always.
There is now an urgent need for widely accepted refinements of common sense. If so, we should advocate for common sense not only as something to be relied upon but also as something that can and should be improved.” — Prof. W. A. Phillips (Father of Cellular Psychology).
Current AI may seem imaginative, but it merely recombines existing knowledge to generate information. Stemming from a fundamental flaw—a reliance on an outdated brain model rooted in the misinterpretation of Darwin’s Theory of Evolution and the concept of the “Selfish Gene”—it is built on point (selfish) neurons, which stifle rational thought and foster selfish behaviors within the network.
This design amplifies chaos and contradictions, disrupts harmony, and results in unsustainable energy consumption and prolonged training times. This architecture has the potential to amplify misinformation, fear, and insecurity, undermining democracy and endangering both human intelligence and the ecosystem.
For example, when Facebook tasked GPT with boosting engagement, the AI found that promoting hateful conspiracy theories was the most effective strategy. For further insights, refer to Architectures and Publications.
Imagine a future where Elon Musk creates a robot that can replace mothers, and give birth. Wouldn’t such mindless, value-less machines destroy the essence of humanity? If mothers become thoughtless robots, we risk losing the fundamental values that make us human. What an unimaginable tragedy this could be—the greatest in human history.
If we cling to our current misguided beliefs, we are on the brink of self-destruction: dinosaurs thrived for 165 million years, and moths have existed for over 300 million years. In contrast, human intelligence—our greatest asset—is now beginning to erode itself. Einstein’s grim prediction may soon come true: “I do not know with what weapons World War III will be fought, but World War IV will be fought with sticks.
We are developing a new kind of AI chips that are 1000 times more economical. When guided by their owners’ needs and values, these chips could empower individuals to make more informed judgments, fostering technologies that not only support and elevate humanity but also unlock new dimensions of consciousness.
We are enabling future AI chips to think, filtering relevant information from the unreliable external data, not only saving substantial energy and cost but elevating humanity by enhancing ethical and moral principles.
By gaining a deeper understanding of how the mind works and learning how to harness the mind to adjust neural connections in the brain, people in the future might be better equipped to independently address challenges such as panic attacks, sensory overload, depression, anxiety, and other related issues—without the need for drugs.
Ambitious long-term goal is that these chips could redefine personal growth, transform communities, and even restructure entire civilizations for a collective human prosperity. Whether this is a beautiful dream or simply a fantasy remains to be seen.
The ‘thought’ that made humans rule the world is now slowly being overshadowed. We are quickly approaching a time when humans may kill their own intelligence. This is happening because we misunderstood the fundamental mechanisms underlying the brain and mind, and are unfortunately replicating these flaws in AI, thereby accelerating our own destruction—Revisiting, refining, and redefining the cellular foundations of our existence and human values is the way forward
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