Deep
Structure

Recently, in 2022, Italian-American physicist Federico Faggin and quantum theorist Giacomo Mauro D'Ariano published a paper proposing something radical. They tried to solve what philosophers call the hard problem of consciousness, a term first coined by philosopher David Chalmers in 1995. It asks a deceptively simple question: why does it feel like something to see red, to hear music, to be you?

The brain's neurons can be mapped. The electrical signals that correspond to each activity can be traced. But none of that explains the subjective experience itself. The mechanics of seeing can be described, yet the feeling of seeing remains unexplained.

Faggin's answer was to flip the entire picture around. He argued that conscious experience, or what philosophers call qualia, does not originate inside the brain. In their model, it comes from a place called a conscious quantum field, a field that exists outside of space and time, and it projects experience into physical matter the way a projector casts images onto a screen.

The feeling of seeing red, the bitterness of coffee, the sense of being you right now: none of that is manufactured by your neurons. According to this model, the brain is more like a receiver, tuned to pick up a signal from somewhere deeper.

To understand what that actually means, consider this scenario. Imagine a writer sitting at a desk, working on a novel. Inside the novel is a character, Doctor Maya. Whatever the author types becomes Maya's reality: her memories, her senses, her thoughts, even her sense of self.

Where did all of this come from? No matter how hard Maya thinks, no matter how many experiments she runs in her world, she will never find the origin inside her own story. The answer is the writer, a person sitting in a completely different realm, in a completely different reality, typing words on a page.

Maya cannot hear the keys clacking. She cannot hear the writer breathing. From where she stands, the writer does not exist. And yet, without the writer, Maya is not real at all.

When the question is asked where the universe came from, the standard answer is the Big Bang. About 13.8 billion years ago, everything that exists was compressed into an infinitely dense point, and then it expanded. But the next question is: what came before the Big Bang? What existed before existence itself?

The mystery is big enough to hold almost any answer. Think about it like dominoes. One domino falls and knocks the next. The chain can be traced backward, domino by domino, but eventually the question arises: who pushed the first one? And if something pushed that, who pushed the pusher?

Even the most suitable hypothesis in this case just pushes the mystery back one more step. And this is not a new problem. More than two millennia ago, Aristotle ran into the same wall. His solution was interesting: he said there must be an unmoved mover, something that starts all motion without itself being moved. But notice what Aristotle was really suggesting. The only way out of this infinite loop is something that plays by completely different rules, something outside the chain altogether.

The reason Maya cannot trace the origin of her world is that she is looking for it inside time. She needs a "before." But the writer does not exist in Maya's timeline. While Maya lives through her constrained world, the writer is just sitting at a desk holding the whole chronology at once.

So when Maya asks "what came before my world?" the question simply does not fit. There is no "before" for someone outside of time.

Federico Faggin thinks this mistake keeps being made because of a deeper habit. The human urge is to make the universe fit into categories, into cause and effect, into before and after. But the deeper layer might not work that way.

If something made this universe, and that something exists outside of time the way a writer exists outside a novel, then asking "what came before it?" is like asking what is north of the North Pole. The question uses a framework that does not apply.

Whether the universe came from chance or a creator, one thing is certain: everything that exists woke up in the same place, surrounded by mountains that were not built by human hands and oceans that were here long before any observer arrived.

In 1999, the British cosmologist Sir Martin Rees published a book called Just Six Numbers. His claim was that six fundamental constants govern the entire structure of the universe. A handful of fixed values that were set at the moment of the Big Bang, and everything observed since, from the formation of galaxies to the chemistry of DNA, follows from them.

Think of them like the parameters in a physics engine. Before a simulation runs, someone has to define how strong gravity is, how fast light travels, how tightly atoms hold together. Change any one of these, and the output changes completely.

Take gravity for instance. Make it a fraction stronger, and stars would burn too hot, collapsing on themselves before anything interesting could happen. Make it a tiny bit weaker, and stars never ignite at all.

Then there is the force that holds atomic nuclei together. The efficiency of nuclear fusion (Epsilon) sits at 0.007. Drop it to 0.006, and protons cannot fuse with neutrons, meaning no elements beyond hydrogen. Raise it to 0.008, and protons fuse so readily that all the hydrogen in the early universe would have been consumed before stars could form. This window is a few thousandths wide in either direction, and any step of 0.001 outside it kills chemistry entirely.

But these two cases are nothing compared to the cosmological constant. It is the value that controls how fast space itself expands, the accelerating force stretching the universe apart. Quantum field theory predicts it should be 10¹²⁰ times larger than what is actually measured. That discrepancy is the single most infamous fine-tuning problem in physics.

To make that tangible: 10¹²⁰ is a 1 followed by 120 zeros. There are roughly 10⁸⁰ atoms in the observable universe. So every atom in every star, in every galaxy that can be seen: this constant is tuned more precisely than if you had to pick one specific atom out of the entire observable universe, and then do that again from a second universe 10⁴⁰ times larger.

Stephen Hawking looked at this number and called it the most impressive fine-tuning coincidence in all of physics. Push it up slightly, and the universe flies apart so fast that nothing ever forms. Push it down just a bit, and everything collapses back on itself before the first star ignites.

So how are numbers this precise explained? There are really a few ways most people go. The first answer is the multiverse. Maybe there are countless other universes, each with slightly different constants, and this one happens to be the one where the numbers work. Brian Greene also pointed out that string theory alone generates something like 10⁵⁰⁰ possible shapes for the extra dimensions, each one corresponding to a different set of physical laws.

But notice what the multiverse is really asking one to believe. To explain one universe that looks finely tuned, the existence of an infinite number of universes that can never be observed, tested, or contacted must be accepted. One mystery gets traded for a bigger one.

So maybe this strange perfection is not a problem to explain away with infinite invisible copies of reality. Maybe it is pointing at something.

What is remarkable about this universe is that there has been a chain of complexities built up: first proto-galaxies, then galaxies and stars, then planets, and eventually life.

Everything else in the universe just obeys the laws of physics. But somewhere in that 13.8 billion year pipeline, the universe produced something that doesn't just follow the rules. It asks what the rules are.

As physicist John Archibald Wheeler loved to say, human beings are the way that the universe becomes cognizant of itself.

Just recently, an international team of researchers identified three massive galaxies in the early universe. These galaxies existed when the universe was only about 5 to 10 percent of its current age. If observers exist now at this moment, this is when those galaxies existed.

But that raises a question. How come it took so long to get here? For life to emerge, for complex creatures to evolve, and for someone to actually look back and wonder about all of this? The Sun had not even formed yet at that early stage. And humans only emerge in the very final sliver of the timeline.

That question is going to be explored through the lens of astrophysics, neurobiology, and computer science. And a simple experiment might give insights into how this reality came into being.

This chapter is partly inspired by a book from David Deutsch entitled The Beginning of Infinity. It delves into a question that is simple and yet deeply fascinating: when did the universe actually get interesting?

In the book, Deutsch emphasizes an idea that humans exist in just a tiny fraction of the universe's timeline. For about 99.999 percent of cosmic history, the universe was what he calls the "great monotony." It was not just empty of life, but empty of any conscious observer to feel it, to see it, to experience it. In his words, it was a universe without witnesses.

And then, only in the past few thousand years, creativity emerged. Humans and conscious beings arrived. They are here now, aware of it. But that feels a bit inefficient. Thirteen billion years of waiting around for a few thousand years of actual progress. If one were designing a universe, why build in such a long startup time?

Speaking of a boring period of the cosmos, there is a real epoch of the universe called the "Cosmic Dark Ages." For about 100 million years after the Big Bang, there were no stars. Nothing. Not even photons, the particles of light. No illumination whatsoever. Not darkness in the way that nighttime is dark, but literally the absence of light itself. And yet, everything that happened later depended on that nothing: gravity, planets, and stars.

If the entire timeline of the Big Bang is compressed into something that can actually be visualized, here is what emerges:

So for almost the entire cosmic day, nothing interesting happened. For 99.999 percent of cosmic history, the universe was just matter doing what matter does: following rules, forming patterns, and decaying.

And here is the strange part. The thing that finally woke up was us. Because looking out at all those heavenly objects, all those cosmic events spanning billions of years, none of them were awake. None of them wondered. None of them asked why. Stephen Hawking once looked at life and called humans "chemical scum."

But that scum learned to calculate the age of the universe. That scum built telescopes and saw the light from the Big Bang. That scum is figuring out the laws that govern the very atoms it is made of.

Think about what that means. This tiny speck of biological material contains a brain, a physical organ that somehow embodies something that transcends its own size. It can ponder objects billions of times larger than itself, like quasars and galaxies. The thing doing the pondering is made of the same carbon and oxygen as the rest of the cosmos. And yet it understands.

David Deutsch points to something surprising here. The raw ingredients for creating knowledge, matter and energy, are everywhere. Every corner of the universe is packed with them. But knowledge itself is not common.

Knowledge is rarer and more valuable than matter or energy. And it is knowledge, not just existence, that determines whether something matters in the cosmic story.

Consider this: the human body and a banana are made of almost the same elemental stuff, carbon, hydrogen, oxygen, nitrogen. In fact, they share about 60 percent of their DNA. And yet, in that banana, there is no knowledge and no understanding. It will never ask where it came from or where it is going. Because existing is easy. A rock exists. Hydrogen gas exists. Understanding why you exist? That is the hard part.

Now this is where David Deutsch's thinking turns into something almost like science fiction, except it is grounded in real physics. In a conversation with Sam Harris, the following exchange took place:

Before saying anything about that, yes, this is mathematically possible. In fact, in the 1940s, John von Neumann proved that a machine could exist that can build a copy of itself, including its own construction manual. He designed an abstract machine in a cellular automaton environment that could read instructions, build a copy of itself from raw parts, and insert the instructions into the copy, all on its own. It was a real proof of concept.

So the key takeaway is that knowledge is the rarest thing in the universe. Rarer than gold. Rarer than dark matter. Because knowledge is not just information. It is the ability to transform reality.

A black hole could rip apart a galaxy, but without someone to think about it, to wonder about it, that event might as well not exist. Without an observer, none of this matters. The universe waited 13 billion years for someone to notice it. So how did that happen? How does mere matter cross the line into consciousness?

It turns out there is a concept in computer science that helps explain this. It is called Turing completeness. Mathematician Alan Turing imagined a simple abstract machine, now called a Turing machine, that could perform any computation that is physically computable. Not some computations. Any computation.

If chimpanzees are examined, a puzzle appears. Humans share about 98.8 percent of their DNA with chimps. But a chimpanzee will never build a telescope. It will never ask what the stars are made of. It will never wonder if the universe has a purpose. Something changed in that 1.2 percent.

Neuroscientists have been studying this question. What they found is that a region in the temporal cortex is much more widely developed in humans than in chimps. And this area processes sensory information, language, and social cues. It is built for collaboration, for sharing ideas across minds, across generations. And with that comes something critical: recursive language, the ability to put a sentence inside a sentence, inside another sentence. That capacity unlocks abstract thinking at a level no other species demonstrates.

What that means is: there is no physical process in the universe that is fundamentally beyond simulation by a sufficiently powerful Turing-complete system. The human brain is one such system. A modern computer is another. Both operate at the same fundamental level of computational universality.

And so, if aliens showed up tomorrow, perhaps their technology could manipulate spacetime directly. They could bend gravity or engineer black holes. But if their technology operates in this universe, it obeys the same laws of physics. It is the same reality. And because the human brain is computationally universal, understanding them is in principle possible. Perhaps not easily, nor quickly. But there is no wall.

But here is the catch. Turing completeness does not guarantee wisdom. It only guarantees the possibility. A universal computer can simulate a cure for a disease. But it can also simulate a weapon. It can expand civilization, and it can end it.

A viral video recently compared how a human child imagines creativity versus current LLMs and chatbots. They were asked to do the following prompt: draw a picture of an animal that doesn't exist.

The AI came up with recombinations of existing forms. Other attempts from different children and different AI models showed the same pattern. The experiment fundamentally challenges assumptions about current AI development. If those images are examined honestly, they deserve a failing grade. They are just recombinations of existing concepts. But the originality of a child is an entirely different thing.

So why does a child imagine an animal that never existed, while the AI gives a mashup of existing parts? The keyword here is creativity, and more specifically, explanatory knowledge.

Current AI systems, even the large ones, are essentially pattern matchers on steroids. They take in massive amounts of data and find statistical regularities. That is why those drawings all look like mashups: a horse with wings, a cat with scales, a dog with an elephant trunk. They are recombinations of things that already exist in the training data.

On the other hand, human cognition works very differently. When a child draws an animal that does not exist, they are not recombining features from a database. They understand what "animal" means at a deeper level: something that moves, eats, has a purpose, fits into a world. And from that understanding, they can create something truly new.

Philosopher Karl Popper had a way of describing this. He called it conjecture and criticism. Humans propose explanations that go beyond the data. They make guesses about how things work. Then they actively try to break those guesses, to find errors, to improve. That cycle produces something no amount of data processing can: actual understanding of underlying causes.

Current AI does none of this. It optimizes. It predicts. But it does not propose a theory about why the world is the way it is, and then try to refute it.

In fact, there is a recent paper from OpenAI entitled "Why Language Models Hallucinate." What they discovered is that the same architecture that enables generalization also produces hallucinations. And it gets interesting: AI models hallucinate not because they are broken, but because that is exactly what pattern-matching gets you when no true understanding is present. It is like students taking exams, where wrong answers and blank answers both get a zero point. And so the optimal strategy is always to guess, never to leave a blank.

David Deutsch puts it this way: both humans and computers are computationally universal. That is not the interesting part. The interesting part is epistemology. How is knowledge acquired? Humans acquire it through a process of conjecture and criticism. Current AI so far just optimizes.

So when people talk about AGI, or artificial general intelligence, this is what they really mean. Not a better chatbot. Not a faster search engine. The open question is whether a machine can be built that participates in the same explanatory cycle, a system that does not just match patterns but proposes and tests explanations.

A system that can look at its own output and say, "That might be wrong. Let me find a better explanation."

All of this raises a deeper question: why does any of it actually matter? And it ties back to the question that has been present the whole time. Why did the universe take so long to get to us?

Consider a task like simulating a sine wave in Python. The code could just be written and the result obtained instantly. There is no need to go back to the invention of the computer, to the first transistors, the first circuit boards, or Turing's original papers. Just write the code and run it. Because the setup is irrelevant. The result is what matters.

So here is the same question applied to the universe. Why not just skip all the boring parts? Day zero, Big Bang. Day one, humans. Why is it not like that? Why is there even a need for a long startup?

This is exactly what Professor Deutsch describes in his book. Humans did not arrive here suddenly. Biology produced brains capable of abstract reasoning. Language allowed ideas to travel between minds. Writing allowed them to outlast individual lives.

And here is the crucial insight. Once a system becomes capable of creating and correcting explanations, once it can generate knowledge and improve on it, there is no upper limit to what it can achieve. Progress is no longer tied to biological mutation or random external factors. Improvement happens through conjecture and criticism, and that process is unbounded.

But despite how far humanity has come, despite the 13.8 billion year journey, we are still at the very beginning. The beginning of infinity. No matter how long the wait has been, no matter how much has been achieved, it is still nothing compared to what lies ahead. That is not the whole story. That is just the setup. Compared to infinity, it is nothing.

This does get philosophical. It is supposed to. But a question remains: what is the reason for all of this? Why did the universe bother with 13.8 billion years of silence before producing beings who can wonder?

One possible answer is appreciation. If civilization had arrived on day one, if everything appeared fully formed from the start, there would be nothing to marvel at. No story. No contrast. No sense of the extraordinary against the backdrop of the ordinary.

And this reality feels like a celebration. After billions of years of silence, after stars lived and died, after planets formed and cooled, something emerged, a tiny speck of matter that can look back at all of it and feel awe.

That speck is you. And the fact that you can appreciate any of this? That is the whole point.

Explore the deep structure of reality as discussed in this article. Adjust the layers, interact with the parameters, and see how fine-tuning, consciousness, and knowledge emerge from the foundations of the universe.