Just last month, an international team of researchers identified three massive galaxies in the early universe — existing when the universe was only about 5 to 10% of its current age. That makes you wonder: how come it took us so long to get here? For life to emerge, for complex creatures to evolve, for humans to show up and start asking questions.

We are going to explore that through the lens of astrophysics, neurobiology, and computer science. This documentary 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?

Deutsch emphasizes that we humans exist in just a tiny fraction of the universe’s timeline. For about 12 to 13 billion years, the universe was empty — not just empty of life, but empty of any conscious observers to feel it, to see it, to experience it. In his words, it was a very boring universe. And then only in the past few thousand years, creativity emerged. Human creativity can form models of the world that say not only what will happen, but why. An explanation is something that captures an aspect of the world that is unseen. That is what allows human-type knowledge to have its universal reach.

But don’t you think that feels a bit inefficient? Thirteen billion years of waiting around for a few thousand years of actual activity. If Homo sapiens have existed for roughly 300,000 years, that’s just 2.2% of the universe’s entire history. If you were designing a universe, why would you build in such a long startup time?

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. Just an empty void of nothingness. And yet, everything that happened later depended on that nothing. David Deutsch calls what followed the great monotony: so long as it lasted, there was nothing out there of which it could truly be said — look, this is new. During the great monotony, one event occurred that was inconsequential at the time. That event was the origin of life.

For almost the entire cosmic day, nothing interesting happened. For 99.999% of cosmic history, the universe was asleep. And here is the strange part — the thing that finally woke it up was us. Because if you look out at all those heavenly objects — all those stars, pulsars, and black holes that spent billions of years doing the same thing over and over — human beings should be the last thing you would expect. An extremely improbable surprise.

Stephen Hawking once looked at life and called us “chemical scum.” We are just a chemical scum on the surface of a typical planet that orbits a typical star on the outskirts of a typical galaxy — and so on. 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, against all probability, became part of the cosmos that finally opened its eyes.

David Deutsch points to something surprising here. The raw ingredients for creating knowledge — matter and energy — are everywhere. They exist in intergalactic space. But here is the key: knowledge itself is not common. Knowledge is rarer and more valuable than matter or energy. And it is our knowledge, not just our existence, that determines our survival and our significance.

Consider this. The human body and a banana are made of almost the same elemental stuff: carbon, hydrogen, oxygen, nitrogen. About 60% of human genes have a recognizable counterpart in the banana genome. And yet in that banana, there is no knowledge and no understanding. It will never ask where it came from. 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. If knowledge is the rarest thing in the universe, how does it get started in the first place? The answer Deutsch gives involves a concept he calls the universal constructor: a generalization of a 3D printer. Something that can be programmed either to make anything, or to make the machine that would make the machine that would make anything.

In the 1940s, mathematician John von Neumann proved that a self-replicating machine is logically possible. He designed an abstract machine in a cellular automaton environment that could read instructions, build a copy of itself, and pass those instructions to the copy. It was a real proof of concept.

In order to illustrate this, we created an optimism simulation describing the exact mechanism that Professor Deutsch introduced — available in full at the bottom of this page.

Knowledge may be the most uncommon thing in the universe — perhaps more uncommon than gold, even more than dark matter. Because without it, hydrogen just drifts in the emptiness of space, waiting for billions of years. The universe waited 13 billion years for someone to notice it.

How does mere matter simulate black holes, predict planetary motion, and design microchips? 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 that could perform any computation given enough time and memory. Not some computations. Any computation.

Now here is where it gets interesting. We share about 98.8% of our DNA with chimpanzees. Biologically, we are almost identical. But a chimpanzee will never build a telescope. It will never ask what the stars are made of. Neuroscientists studying this found that a region in the temporal cortex is far more wired-up in humans than in chimps — built for collaboration, for sharing ideas, for building on what others have started. And then there is language itself. We have the ability to put a sentence inside a sentence inside a sentence: “She said that he thought that they believed we were wrong.” That recursive embedding is exactly what you need for universality.

There is no physical process in the universe that is fundamentally beyond simulation by a sufficiently advanced human-built computer. No black hole, no supernova, nothing. If it happens in reality, we can model it. Because our brains are computationally universal, there is no principle that makes alien physics or future technology unreachable to us. We could, in principle, understand it all. The catch: Turing completeness does not guarantee wisdom. It only guarantees the possibility.

There is a viral experiment: a human child and a current AI model were both asked to draw a picture of an animal that doesn’t exist. The AI produced a lion with wings, a deer with spikes, a mythical dragon with horns — statistically plausible combinations, but not conceptually new. The child drew something genuinely alien. A creature with no real-world precedent, built from a causal understanding of what “animal” means: something that moves, eats, has a purpose, fits into a world.

Current AI systems are pattern matchers on steroids. They take in massive amounts of data and generate outputs that fit those patterns. When asked for something new, they interpolate — but they never actually leave the space of existing data. They are trapped inside the training set.

Philosopher Karl Popper had a way of describing what humans do differently. He called it conjecture and criticism. Humans propose explanations that go beyond the data. We make guesses about how things work. Then we actively try to break those guesses. That loop — conjecture and criticism — is what generates genuine knowledge. Not just pattern recognition, but 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.

When people talk about AGI — artificial general intelligence — this is what they mean. Not a better chatbot, not a faster pattern matcher, but a system that can do what humans do: form explanatory models, detect errors in its own thinking, look at its own output and say, “That might be wrong. Let me find a better explanation.”

Now we can finally answer the question we have been sitting with this whole time. Why did the universe take so long to get to us? You could just start writing code and get results instantly. You don’t need to go back to the first transistors, the first circuit boards, Turing’s original paper. You just run it. So why is the universe not like that? Why the long detour through bacteria, dinosaurs, and ice ages?

Humans did not arrive here suddenly. Biology produced brains capable of abstract reasoning. Language allowed ideas to travel across generations. Writing let knowledge outlive the people who discovered it. Each stage built on the last. Each stage increased the rate at which knowledge could grow. And if we return to our simulation — it showed that a system can run for thousands of ticks, build genuine complexity, and still be missing the one thing that matters. The hydrogen was always capable of becoming a Φ-field. The rules permitted it from tick zero. But the path required a specific sequence of configurations, held for a specific duration, in a specific arrangement — and nothing in the system was designed to seek it.

The crucial insight is that once a system becomes capable of creating and correcting explanations — once it can generate knowledge — there is no intrinsic upper limit. And the limiting factor is not resources, because they are plentiful. It is knowledge, which is scarce.

Let me leave you with a question. Why the long wait? For me personally, I think it is about appreciation. If we had arrived on day one — if human civilization appeared fully formed with no history behind it — we would take intelligence for granted. After billions of years of silence, after stars lived and died, after planets formed and crumbled, a tiny speck of dust in one corner of the universe finally opened its eyes and said: