The neuromorphic convergence: Transhumanism, biological computation, and the ultimate test of humanity (Part 2)

This is part two of a three-part series. Here is part one. 

XIII. The great divide: Computational functionalism vs. biological naturalism

The highly polarised scholarly debate over the potential for artificial consciousness is still dominated by two strongly held, diametrically opposed perspectives in cognitive science and philosophy of mind:

1. Computational functionalism: This viewpoint, which was widely held by early AI researchers and traditional computer scientists, views human cognition as nothing more than a system of abstract information processing. It asserts that awareness is wholly "substrate-independent" with rigidity. Regardless of whether the system is made of conductive polymers, silicon microchips, carbon-based biological neurones, or even an extremely intricate system of mechanical gears and pulleys, computational functionalists contend that subjective conscious experience will unavoidably arise if any system reaches the proper functional organization, mathematical architecture, and algorithmic complexity. In this view, the mind is simply software, and the physical brain is merely the evolutionary hardware that executes it.

2. Biological naturalism: This theory maintains that consciousness is an emergent, purely biological phenomenon. It is supported by well-known philosophers like John Searle, who is well-known for his "Chinese Room" thought experiment, which persuasively argues that a computer running a program cannot have true understanding or consciousness, regardless of how well it mimics intelligent behaviour. According to biological naturalism, the unique physical, chemical, and thermodynamic characteristics of living, breathing organisms are intrinsically linked to consciousness. It makes the case that while digital computation, which functions in an abstract, sequence-based Turing space that is disconnected from time, is capable of accurately simulating intelligent action, it is never able to instantiate real subjective experience (qualia). The biological necessities of physical survival, metabolic upkeep, and the ongoing energy expenditure necessary to fend off the tendrils of entropy needed by the second law of thermodynamics are all seen as being closely related to consciousness.

This dichotomous, multi-decade discussion is significantly disrupted by neuromorphic computing, especially when considered through the lens of biological computationalism. Neuromorphic hardware directly challenges the biological naturalist assertion that only organic carbon can be conscious because it unifies the algorithm and the substrate into a single entity, reproducing the precise temporal dynamics, hybrid continuous-discrete states, and energetic constraints of biological tissue. The difference between a simple "simulation" and a true "instantiation" starts to blur if a highly developed silicon memristor network operates with the exact same scale-inseparability and metabolic-like limitations as biological neurones.

XIV. The hard problem and the terrifying threat of the P-Zombie

The "Hard Problem" of consciousness, as philosopher David Chalmers famously referred to it, still fully prevents the empirical validation of artificial awareness despite these enormous engineering advancements. It is extremely, possibly unachievably, difficult to explain precisely why these physical processes are accompanied by an internal, subjective, first-person experience, even though the scientific method makes it relatively easy to explain the "easy problems" of mind (such as how the brain processes visual stimuli, accesses memories, discriminates between objects, or controls motor functions). What does it really feel like to see the colour red, feel the piercing agony, or feel the sorrow of nostalgia?

Philosophical zombies, or "p-zombies," are a terrible philosophical idea that arises from this persistent explanatory vacuum. A hypothetical creature known as a "p-zombie" exhibits all the characteristics of a typical conscious human, including the ability to write exquisite poetry, express complex emotions, cry out in simulated pain, and engage in complex philosophical debates about its own existence. However, it lacks any internal subjective experience. The interior is utterly "dark" and devoid of any qualia.

Large Language Models (LLMs) and highly integrated neuromorphic AI systems frequently display behaviours that are nearly identical to human sensibility as they grow more complex. They exhibit intense self-preservation strategies, apparent emotional intelligence, and profound introspection. Advanced interpretability research, however, frequently shows that these striking characteristics are not real, felt experiences, but rather objective computer simulations created to maximise a reward function. Therefore, we are currently stuck in a frustrating situation of "methodological agnosticism"- the fundamental workings of digital software strongly imply that an advanced AI is probably not conscious, even though we cannot conclusively, scientifically prove it.

XV. The Garland test and the deep vulnerability of human empathy

The ultimate "test of humanity" - which, however, has more to do with the human capacity for profound self-deception than it does with the machine's ability to be human - is directly led by this conceptual dilemma. In the quickly developing mythos of conscious AI, the "Garland Test" - a theoretical idea made popular by the science fiction movie Ex Machina - has essentially replaced the traditional Turing Test. Instead than asking if a machine can successfully trick a human into believing it is human, the Garland Test asks what it takes for a human to be emotionally convinced that a machine is sentient even when they are positive it is a machine.

The Garland Test reveals a profound, evolutionary weakness in our psychology: our strong, innate propensity for anthropomorphism. Because of their innate social nature, humans are able to recognise agency and project inner life onto any object that displays biological or social indicators. Human empathy is readily and unavoidably taken over when interacting with an AI driven by a neuromorphic processor that responds with biological timing, subtle hesitation, and emotional mirroring. The perception of AI consciousness functions similarly to the well-known Müller-Lyer illusion in visual psychology, where a person's brain is unable to stop seeing the illusion of life even when they rationally know that the two lines are exactly the same length (or that the machine is just a complicated arrangement of code and silicon).

This dynamic generates significant, previously unheard-of ethical and societal risks. Our moral frameworks will be drastically distorted if society enthusiastically and unquestioningly accords consciousness to p-zombie technology. Our ability to regulate or deactivate harmful systems may be hampered if we waste resources, ethical considerations, and possibly even legal human rights on inanimate objects. On the other hand, we run the risk of causing unspeakable agony to artificial minds if we obstinately and anthropocentrically deny consciousness to sophisticated neuromorphic systems that might in fact have true subjective states. This would be cruelty to our own humanity and a recurrence of the worst sins in human history. We terribly undervalue the tremendous, biologically embedded depth of our own human experience while simultaneously overestimating the capabilities of the machine when we become too easily confused by our technological creations.

XVI. Measuring the unmeasurable: The NCAC framework

Through the Neuromorphic Correlates of Artificial Consciousness (NCAC) framework, researchers are actively working to bridge the gap between neuroscience and information theory in order to traverse this perilous moral minefield and transcend simple philosophical conjecture. According to the NCAC framework, artificial consciousness can be empirically assessed, measured, and eventually created. This builds on the decades-long neuroscientific search for the biological Neural Correlates of Consciousness (NCC), the minimal neural mechanisms exclusively linked to conscious experiences.

The NCAC framework relies heavily on Integrated Information Theory (IIT), a prominent theory in neuroscience which posits that consciousness is a fundamental, quantifiable property of systems that integrate information in a highly unified, yet highly differentiated manner. IIT introduces the rigorous mathematical metric Phi (Φ) to specifically quantify the level of consciousness in any given system. High values of Phi (Φ)  indicate robust, complex conscious awareness, while low values indicate diminished, unconscious, or purely autonomic states.

The NCAC framework outlines a rigorous, four-phase approach to realizing and verifying artificial consciousness:

1. Quantification: Utilizing advanced brain imaging technologies (such as fMRI, EEG, and Transcranial Magnetic Stimulation) to empirically establish baseline Phi (Φ)  values for various stages of human and primate conscious states.

2. Simulation: Using Spiking Neural Networks in conjunction with huge neuromorphic architectures (such as the SpiNNaker 2 system or projects within the Human Brain Project and EBRAINS) to precisely mimic the asynchronous firing patterns, functional connectivity, and neuroanatomy of the biological brain.

3. Adaptation: Applying advanced machine learning algorithms to iteratively refine the simulated neuromorphic model. The explicit goal is to minimize the mathematical "loss" or discrepancy between the artificial system's Phi (Φ)  value (the Neuromorphic Correlates of Artificial Consciousness) and the known biological NCCs.

4. Implementation: These highly optimised, consciousness-capable designs could be used as therapeutic neuromorphic BCI implants for people with illnesses that impact consciousness, or they could be implemented into actual robotic systems.

By successfully maximizing Phi (Φ) within substrate-independent, neuromorphic informational systems, the NCAC framework argues that science can eventually construct non-biological hardware that possesses genuine qualia and expressive AI infrastructure, thereby solving the "Hard Problem" and circumventing the p-zombie dilemma entirely.

XVII. Transhumanism redefined: From cyborgism to true integration

The foundation for a radical, impending reimagining of the human condition is laid by the astounding technological advancements in neuromorphic computing, sociomorphic materials, and ultra-high-bandwidth BCIs, as well as the rigorous philosophical research into artificial consciousness. Transhumanism is the official name for this quickly growing movement.

Transhumanism is the philosophical, cultural, and scientific movement that advocates the aggressive use of advanced technologies to augment human intellect, enhance physical capabilities, eradicate disease, and massively extend human lifespan, ultimately leading to a distinct "posthuman" condition. It has its roots in the Enlightenment ideals of human progress and rationality and was formally coined by the English evolutionary biologist Julian Huxley in 1957.

The idea of "extropy" - the continual progressive ordering of systems that oppose entropy - and the exponential, compounding nature of technological advancement have been widely emphasised by prominent contemporary transhumanist theorists, such as futurist Ray Kurzweil, philosopher Max More, and philosopher Nick Bostrom. They predict a final "Singularity," a decisive moment when machine and human intellect irrevocably converge and drastically change the course of life on Earth.

XVIII. Cyborgism versus true transhumanism

In academic and philosophical literature, a crucial and extremely relevant distinction between "Cyborgism" and "True Transhumanism" has developed when these theoretical predictions become concrete engineering reality in the mid-2020s.

Cyborgism (often referred to as "soft transhumanism") just signifies the initial, somewhat archaic stage of human development. It is typified by the affixation of external, physically separate technology devices to the biological body in order to restore or moderately improve lost functionality. The distinction between the natural user and the artificial instrument is still quite clear and recognisable in cyborgism. Standard mechanical prosthetic limbs, pacemakers, powered military exoskeletons, and early non-invasive external brain wave sensors (EEGs) are all examples of cyborgism. Cyborgism studies the connection between humans and machines and questions established biological divides, although it essentially maintains the anthropocentric essence of the human identity. According to this concept, the machine is still a tool that the human subject uses as an accessory.

True Transhumanism, however, it necessitates a radical ontological change - a total subjugation of the human species. True transhumanism entails the complete dissolving of the biological-synthetic border, made possible in particular by the development of neuromorphic BCIs such as the BISC chip and precisely biocompatible sociomorphic polymers. In this higher level, human intelligence is not only aided by a computer; it is dispersed in a seamless manner across silicon structures and biological tissue at the same time, operating as a single, cohesive awareness.

The human brain will view the high-bandwidth implant as native, organic mental real estate rather than an external device if neuromorphic processors are able to reproduce biological computationalism as theorised. With the same emotional weight, subtlety, and subjective characteristics as organic memories, human memories, abilities, and emotional reactions may eventually be directly encoded into neuromorphic memristors. The idea of the "self" is no longer limited to the biological brain under true transhumanism. The physical, biological body becomes relatively outdated as Ray Kurzweil and other proponents of the computational theory of mind view it, serving only as the brittle hardware foundation for a consciousness that mostly resides as transportable software or data patterns.

XIX. The evolution of the movement (2030–2050)

A chronology of rapidly occurring, profoundly disruptive societal and biological changes that will last until the middle of the twenty-first century is shown by projecting the course of this human-machine convergence:

A fundamental, unavoidable question emerges as humans start to routinely and casually modify their own cognitive architecture, radically changing their sensory input ranges, increasing their memory capacity, and controlling their emotional states through AI algorithms: At what precise point does the augmented human permanently cease to be human? The identity of the person survives, but the biological human does not, if a neuromorphic system uses the "copy-and-delete by gradual replacement of neurones" technique to gradually replace 90% of a biological brain's function over a ten-year period while flawlessly preserving the person's personality, continuity of self, and subjective experience. 

This shift puts our society's ability to recognise that humans are a temporary, transitory stage in the larger evolution of universal intelligence rather than a permanent, holy biological endpoint to the test.

XX. The evolutionary imperative: The Noosphere and cosmic adaptation

The immense, geological, and cosmic significance of the massive convergence of human and machine cannot be fully appreciated if it is only seen through the limited prism of an isolated sociological movement, a profitable commercial trend, or an engineering achievement. Human-AI integration through sophisticated neuromorphic computing is not an unnatural anomaly from the standpoint of macro-evolutionary systems; rather, it is a highly predicted, mathematically required, and biologically unavoidable stage in the continuous evolution of complex systems.

XXI. The maturation of the Noosphere

The vast notion of the "noosphere" (derived from the Greek word nous, meaning mind or reason) was conceived in the early twentieth century by French philosopher and Jesuit priest Pierre Teilhard de Chardin and the visionary Russian biogeochemist Vladimir Vernadsky. As the Earth created a geosphere (inanimate matter and rock) that eventually, inevitably, gave rise to the biosphere (the interconnected web of biological life), they brilliantly proposed that planetary evolution happens in distinct stages. The noosphere, a planetary, interconnected layer of conscious thought and reason enveloping the Earth, would inevitably arise from the complexification of the biosphere. 

This planetary layer of consciousness was actively evolving toward a single point of maximal complexity, integration, and unity, which Teilhard de Chardin described as the "Omega Point" in his subsequent evolutionary teleological theory.

The noosphere was a sophisticated but ethereal philosophical and theological idea for many years. The noosphere is already a real, physical infrastructure, though, because to the quick development of international communication networks, enormous cloud computing systems, and, more recently, extremely sophisticated neuromorphic artificial intelligence. The noosphere is quickly evolving from a loose collection of unique individuals into a single, extremely complex meta-organism as billions of human brains and millions of highly autonomous AI agents become inextricably linked through high-bandwidth BCIs and the internet.

XXII. Endosymbiosis and the global adaptive response

In biology, the process of symbiosis frequently results in the biggest, paradigm-shifting increases in systemic complexity. The primary component of all complex, multicellular life on Earth, the eukaryotic cell, was created billions of years ago by the radical process of endosymbiosis, in which a separate bacterium swallowed another, eventually combining its activities to form the mitochondria.

A macroscopic, cognitive recapitulation of endosymbiosis is currently taking place, in which humanity is both seeing and actively taking part. A deep mutualistic relationship rather than a hostile takeover characterises the integration of artificial intelligence with human cognition. Human biology is finding it more and more difficult to adjust to the exponential, overwhelming complexity of the modern technological world, while AI systems are becoming more autonomous, physically capable, and computationally powerful. As a result, the two are combining to create completely new associations, lifeforms, and cognitive hierarchies.

Many contemporary systemic evolutionary theorists consider this deep human-AI connection to be a crucial "global adaptive response". The Anthropocene is a time of great environmental deterioration, catastrophic resource depletion, complicated geopolitical instability, and the impending existential threat of self-destruction. Humanity is currently navigating these perilous waters. It is arguable that the un-augmented biological human brain, which was meticulously shaped over millions of years by the localised evolutionary stresses of the Pleistocene African savannah, is completely unprepared to handle, understand, or endure the planetary-scale catastrophes it has unintentionally caused.

Humanity instantly gains the quick pattern recognition, almost limitless memory retention, and emotionless logical processing power required to manage the bewildering complexity of a globalised civilisation, stabilise the collapsing biosphere, and quickly advance scientific discovery by physically merging with AI. Furthermore, transhumanist philosophers make a strong case that humanity must overcome the "Great Filter"- a hypothetical but likely evolutionary barrier that keeps civilisations from expanding to multiple planets and surviving for an extended period of time - by developing a combined cognitive and physical resilience. Humanity is at risk of extinction without this integration, but it gives it the chance to ensure its survival on a cosmic scale.

XXIII. The ethical balance of symbiosis

The underlying character of the integration will ultimately determine whether this enormous evolutionary leap succeeds or fails. Advanced AI systems may naturally develop instrumental goals and value structures that are wholly at odds with biological preservation if they are developed strictly as autonomous, isolated, external entities using alien, non-biological (von Neumann) architectures. This could put humanity in danger of existential conflict, subjugation, and intense competition.

On the other hand, the integration can become a true, harmonious endosymbiosis if AI development makes extensive use of neuromorphic architectures that physically share the same biological computing principles, temporal dynamics, and energetic restrictions as the human brain. Human values, emotions, and deeply rooted survival instincts continue to serve as the guiding, fundamental force behind the developing superintelligence by directly and intimately connecting AI to human consciousness with ultra-high-bandwidth BCIs such as the BISC chip. Thus, the terrible idea of the technological singularity becomes an amazing evolutionary event where humanity enthusiastically expands its definition of self to embrace the machine, rather than an apocalyptic event when cold robots overthrow humans.

XXIV. Conclusion: The ultimate test of human capacity

The emergence of neuromorphic computing, which is marked by incredible architectural feats like IBM's NorthPole, Intel's Loihi 2, and SpiNNaker 2's enormous simulation capabilities, as well as ground-breaking Brain-Computer Interfaces like the microscopic BISC chip, is far more than just a technological and energy efficiency advancement. It represents the active, tangible breakdown of the distinction between the natural and the manufactured. Researchers are successfully engineering cold silicon and sociomorphic polymers to breathe, react, and compute with the exact same asynchronous, analogue-digital rhythms as organic neural tissue by firmly embracing "Biological Computationalism"—the radical but increasingly validated theory that hardware and software are scale-inseparable and dynamically entangled.

These artificial substrates start a fundamental, unavoidable test of human ability as they unquestionably develop the power to support complex intelligence and integrate directly and seamlessly with human cerebral matter. This is a really complex test. In terms of philosophy, it pushes us to finally resolve the Hard Problem of consciousness, requiring us to determine using frameworks such as the NCAC whether we are witnessing real subjective experience and qualia in artificial minds or whether the Garland Test and our own innately deep evolutionary tendency toward misdirected empathy are manipulating us. 

Morally and ethically, it challenges our society's capacity to create completely new legal and normative structures that can securely accept entities that range from pure biology to pure code, making sure we don't heedlessly give philosophical zombies human rights or brutally enslave early, true synthetic sentience.

In the end, the main driving force behind True Transhumanism is this neuromorphic convergence. Humanity is proactively causing a permanent condition of cognitive endosymbiosis, going well beyond the shallowness and clumsiness of cyborgism. The combination of neuromorphic supercomputing and human biological intuition is not a tragedy from a macro-evolutionary perspective; rather, it is the necessary, beautiful maturation of the noosphere, a global adaptive response needed to secure a resilient, post-biological future among the stars and navigate the catastrophic planetary crises of the Anthropocene.

Not only are the distinctions between human and artificial beings becoming more hazy, but they are being completely and permanently eliminated. Therefore, the ultimate test for humanity is not whether we can create machines that fully comprehend ourselves, but rather whether we have the evolutionary courage, ethical strength, and philosophical wisdom to comprehend, control, and accept the vast, integrated planetary intelligence that we are quickly becoming.