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"Why AI Fails the Nonlocal Mind Test: New Advances in Quantum Psychology"

The concept of artificial intelligence (AI) has been gaining more and more attention in recent years, with many wondering if machines will ever be able to truly replicate or even surpass human intelligence. However, for those who have had nonlocal experiences of consciousness – such as near-death, spiritual, or telepathic experiences – the idea of AI being able to compete with human intelligence seems laughable. But what is it about nonlocal experiences that make them so incompatible with classical AI? In this article, we will explore the recent findings of quantum engineer Doug Matzke and quantum psychology pioneer Valerie Varan, and how their work debunks the idea of a classical machine model of human consciousness.

The duo recently attended MindFest 2025, a conference focused on the topic of AI and its potential implications for humanity. While there, Matzke presented a poster session on his new model for understanding the quantum mind. He begins by differentiating between Real Intelligence (RI) and Classical AI, using precognition and nonlocal mind examples to demonstrate how classical AI fails to match the capabilities of human sentience in nonlocal events.

One of the main points Matzke makes is that classical AI cannot account for nonlocal experiences such as precognition, telepathy, clairvoyance, near-death, and spiritual experiences. This is because classical AI is based on the materialist view that human consciousness is emergent from the brain – meaning that everything we think and feel is a result of the firing of neurons in our brains. However, for those who have experienced these nonlocal events, this belief does not hold up.

Varan, who has been a lifelong spiritual experiencer herself, knows all too well how harmful mainstream models of human consciousness can be for those who have had these types of nonlocal experiences. She explains that individuals are often labeled as “crazy” or their experiences are minimized, all because the scientific community cannot believe that these experiences exist.

Matzke and Varan go on to discuss the role of AI in society and the potential consequences if it continues to advance without any limitations. They mention that currently, 40-50% of all social media accounts are believed to be run by bots, and bad actors are using AI to destabilize societies. As such, they argue that there should be limits put in place for AI development.

But what about the future of AI? Will it ever reach a point where it could surpass human intelligence? This is where transhumanism comes into play – the idea of merging humans with technology to enhance our capabilities. However, Matzke and Varan question whether transhumanism is a dying out concept, as it relies on classical views of human consciousness.

Matzke then delves into his new model for understanding quantum mind, which he has named the “existon.” This is a consciousness atom that is primitive enough to support the entire universe. He further explains that his model uses math to “bootstrap” the universe from bits and unifies math with physics and computer science. This is a groundbreaking concept that has implications for not only our understanding of consciousness but also for the fields of math, physics, and computer science.

The model also introduces the idea of “rotes” – packets of meaning that exist outside of space, time, matter, and energy. These rotes can be thought of as informational distinctions or qualia that are present in the quantum realm but cannot be explained by classical AI.

Matzke further expands on his model by discussing coherent spaces and how they relate to quantum biology. These coherent spaces have built-in intentionality and give rise to phenomena such as the Law of Attraction – something that has no basis in physics but can be explained through math.

Ultimately, Matzke’s model for the quantum mind shows that human consciousness is not an emergent property of the brain but rather a fundamental aspect of the universe. This is supported by decades of research on psi – such as telepathy and precognition – which has been largely ignored by classical AI proponents.

In conclusion, the work of Matzke and Varan has significant implications for our understanding of human consciousness and the role AI will play in society. By taking into consideration nonlocal experiences and the new model for the quantum mind, it becomes clear that classical AI will never be able to replicate or surpass human intelligence. The duo’s work sheds light on the limitations of classical AI and opens up new possibilities for understanding the mysteries of the human mind.


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