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Blink 3 of 8 - The 5 AM Club
by Robin Sharma
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What Is Intelligence? summary
Blaise Aguera y Arcas
Lessons from AI About Evolution, Computing, and Minds
27 mins
Brief summary
What Is Intelligence? delves into the complexities of human and artificial intelligence, examining how both forms evolve and adapt. The author explores consciousness, learning, and the future implications of intelligent systems on society.
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What Is Intelligence?
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How it all began
When we rewind Earth’s history to its earliest scenes, around 4.6 billion years ago, we’re looking at a world that barely resembles today. It’s known as the Hadean Eon, when the planet consisted of oceans of lava, a sky thick with volcanic gases, and a surface that was battered by asteroids big enough to boil the atmosphere. Somehow, within this chaos, the chemistry of life began to brew.
While the exact spark may never be known, one of the more attractive theories takes place in the deep sea. At hydrothermal vents – towering constructions built from minerals and heat – water, gas, and rock interact inside tiny porous chambers. These pores naturally create the kind of microscopic batteries that drive chains of chemical reactions that form self-sustaining cycles that look a lot like the metabolic “motor” still humming inside every cell today. It’s as though our own cells carry a memory of those early oceans.
As life took shape, it did so in bold leaps. Once a bacterium was engulfed by an archaeal cell, and instead of being digested, the two formed an alliance that resulted in mitochondria – which in turn opened the door to multicellular life, nervous systems, animals, and eventually us.
Symbiosis, and big, evolutionary leaps aren’t limited to biology. Technology evolved in similar bursts, each breakthrough forming when separate parts came together to create something new, like combining stone, wood, and sinew to make hunting tools.
Now, you may be hesitant to draw parallels between biological life and computing, but early computer pioneers like Alan Turing and John von Neumann saw the link. They imagined machines that could read instructions, modify those instructions, and even build copies of themselves – which is precisely the kind of logic of self-replication that DNA serves. So it’s hardly a stretch to say that a cell is both part chemistry and part computation.
To put it simply: reproduction requires computation. In nature, millions of tiny agents – ribosomes, enzymes, morphogens – operate in parallel, using randomness and local rules to achieve a larger unified function.
That same principle shows up in recent experiments. In 2023, researchers tried to recreate a sort of digital primordial soup environment, to see if the same kind of mutations and self-replicating patterns could emerge. Into the soup went thousands of simple digital tapes that contained both rudimentary code and data, and the ability to modify itself. Sure enough, after millions of interactions, the tapes do begin to reproduce. All of a sudden, a phase-transition happens, and they shift from noise to self-replicating patterns.
From randomness, replicators emerge; once replicators exist, evolution takes over. And as we’ll see in the next section, that rising complexity can give way to intelligence.
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What is What Is Intelligence? about?
What is Intelligence? (2025) repositions AI not as a looming alien mind, but as a natural continuation of life’s long, messy story of evolution, cooperation, and prediction. It weaves together bacteria, brains, cities, and neural networks to show how intelligence emerges wherever systems learn to model themselves and their world. It takes us through the past, present, and future of AI, while describing our place in it.
Who should read What Is Intelligence??
- Anyone curious about AI breakthroughs and what they mean
- People who enjoy big-picture ideas about evolution and human intelligence
- Science geeks interested in the history of computing
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