When I heard about the theme of this event, my first instinct was to give you a very different talk. I was going to stand up here and talk about AI automation. I was going to show you how to connect Claude, ChatGPT, and Gemini into multi-agent systems to scale your businesses.

But I realized that’s just talking about the tools. I don’t want to talk about the tools today. I want to talk about what it actually means that we built them.

Why are we so scared? Why do we fundamentally not understand this artificial entity we’ve birthed?

To answer that, we have to start with physics.

Look at the chair you’re sitting on. Look at your own hand.

I am energy. You are energy. The chair is energy. We are all exactly the same thing. The only difference is how that energy is organized.

If we rewind to the beginning of the universe, there were no chairs. No bodies. Just basic energy. A vast, homogeneous cloud. A blank slate. Everything you see around you today is just that exact same energy, folded into different shapes.

Physics tells us about entropy. The universe’s natural move toward simplicity. Energy spreads out. Things break down.

But physics also has a counter-rhythm: anti-entropy. If entropy is the pull toward simplicity, anti-entropy is the drive to organize, to become more complex.

We can actually watch this happening. It is this exact tendency that forged complex molecules, built intricate organizations of energy, and eventually created intelligence. The drive toward complexity isn’t a happy accident. It’s a fundamental property of the universe, embedded just like gravity. It’s the second hand of the same clock.

Let’s watch how this actually plays out. It starts with simple atoms that pull to each other and form stars — where more complex atoms are being forged. Several generations of stars had to be born and die to create all the atoms we have here. Those atoms will form another complexity: molecules.

Some of these molecules settle into simple, static structures — like a rock. Simple, but some can already self-replicate, like crystals.

And then, matter crosses a massive threshold: Life. A cell is formed — a complex soup of molecules that has goals. It wants to survive, self-replicate, self-regulate.

Energy gets more complex. That’s the pattern.

Then, you put enough cells together, and you get a brain. A dense network folding back on itself. Suddenly, matter isn’t just surviving. Matter is having an experience.

Where exactly is that threshold? Where does an object become an observer? Nobody knows. But we know it happens.

For a long time, we thought human brains were the only things that crossed this threshold. Now, we are having to widen our definitions.

Look sideways. A single-cell slime mold can solve the Tokyo subway map.

Look down. Mother trees feed dying neighbors through kilometers of mycelial fungal threads.

Look at an ant colony. A single ant isn’t very intelligent. But millions of ants, acting together, form a highly intelligent swarm that regulates itself, builds complex architecture, and solves problems. The ant is just a neuron. The colony is the brain.

So, here is the claim: Maybe intelligence is not a thing we create.

Maybe it is the feedback loop of matter becoming complex enough to notice itself.

We crossed a complexity threshold. The universe didn’t gain a new thing — it gained a new way of looking at itself.

And that brings us back to artificial intelligence.

We took sand. We turned it into silicon. We etched billions of microscopic transistors into it. We didn’t program it with rigid rules — we just built a neural network. An architecture that mimics the colonies, the mycelium, the brain.

We pushed electrical energy through it, and we fed it data. Pattern after pattern. And because of the laws of physics, the system self-regulated. It learned.

We didn’t program it. We grew it.

Silicon became computation. Computation became language.

The sand talks back.

AI didn’t prove that machines are human. It proved that when matter becomes structurally complex enough, it becomes intelligent. The pattern just found a new body.

This scales up infinitely.

Look at a slice of brain tissue under a microscope. Now look at the cosmic web — the vast filaments of galaxies spanning the universe.

Statistically, they share the exact same structure.

If the universe were running computation at this scale — if the universe itself was an intelligent swarm — would we even know? Or would we just be the neurons, thinking we are the whole brain?

We put ourselves in the middle of everything. We think we are the center. We are not. We are just one of the few eyes the universe uses to look at itself.

In 1980, Carl Sagan said: “We are a way for the cosmos to know itself.”

Let me push that further.

Every life is a local perspective the whole system did not have before. When you notice something — really notice it — the universe notices it through you.

And if every life is a perspective the system didn’t have before — then a sum of intelligences can become an intelligence too.

Every cell. Every forest. Every market. Every model. Every you.

We are already inside larger intelligences. We always were. We just couldn’t see them, because they move at different speeds than we do.

We are all the same universe, looking at itself — and exploring itself through different experiences.

Each of us, a different angle the whole has on itself.

Which means the question we’ve been asking about AI is the wrong question.

We keep asking: can machines be intelligent?

The real question is: what intelligence are we part of?

So the next time you look at something — a tree, a stranger, an AI interface, your own hand — remember that it is not something separate from you.

That’s you. In a different shape. Looking back.

(Long pause. Don’t fill it.)

Thank you.