A common ancestor of humans and octopuses likely resembled a flattened worm, drifting through Precambrian seas 600 million years ago. Since that split, we've taken radically different paths to intelligence. We centralized our neurons into a command-and-control brain. The octopus scattered its neurons across its body like a federation of semi-independent states.
A Body That Thinks With Its Limbs
Two-thirds of an octopus's neurons don't reside in its brain. They're distributed throughout its eight arms, each containing its own substantial nerve cord. This isn't a case of the brain sending detailed instructions to obedient appendages. Each arm operates with genuine autonomy, capable of reflexive problem-solving without consulting headquarters.
Peter Godfrey-Smith, a philosopher who has spent years observing octopuses, describes arms that "make their own way." An octopus reaching into a crevice doesn't micromanage each movement from its central brain. The arm itself decides how to bend, where to probe, what to investigate. It's less like your hand following your brain's commands and more like delegating a complex task to a trusted colleague who'll figure out the details.
This arrangement creates a genuinely alien form of consciousness. When you reach for a coffee cup, your brain knows exactly where your hand is and what it's doing. An octopus may have only a vague sense of its arms' precise positions. The central brain sets general goals—"explore that area" or "grab that crab"—while the arms improvise the execution.
The Engineering of Flexible Intelligence
Research published in January 2025 by University of Chicago scientists revealed something unexpected about how this distributed system actually works. The nerve cords running through octopus arms aren't uniform tubes of neural tissue. They're segmented, like a corrugated pipe, with each segment controlling a specific section of arm and its associated suckers.
Cassady Olson, the graduate student who led the anatomical analysis, recognized this as an elegant engineering solution. Controlling something with "nearly infinite degrees of freedom"—an arm that can bend, twist, and curl in any direction—would overwhelm a centralized system. But divide that arm into segments, each handling its own local control, and the problem becomes manageable.
The segments don't work in isolation. Nerves from multiple segments connect to overlapping muscle regions, allowing coordinated movement. It's distributed control with built-in communication, a compromise between total centralization and complete independence.
Hands That Taste What They Touch
The autonomy goes deeper than movement. Octopus suckers contain sensory receptors that taste and smell simultaneously—imagine if your fingertips were also tongues and noses. Each arm explores its environment through direct chemical sensing, gathering information the central brain never directly experiences.
This creates a bizarre sensory situation. When an octopus arm finds food, the arm itself knows it's food through taste receptors. That information travels to the brain, but the brain hasn't tasted anything. It's receiving a report, not a sensation. The octopus exists in a state of perpetual secondhand awareness of much of its own experience.
Yet octopuses clearly learn. They solve puzzles, recognize individual human faces, and remember solutions to problems they've encountered before. Some show distinct personalities—bold individuals who explore readily versus cautious ones who hide. This learning happens despite their fragmented sensory experience, or perhaps because of it. With eight semi-independent agents gathering information, an octopus samples its environment in parallel, processing multiple streams of sensation simultaneously.
When Convergent Evolution Takes Different Routes
Octopuses didn't inherit their intelligence from a smart ancestor. Their complexity evolved independently, starting from something like a slug. This makes them one of evolution's most important natural experiments in building intelligence from scratch.
Vertebrates centralized neural processing in a protected skull, creating a command center that interprets sensory data and issues motor commands. This architecture has proven successful across fish, amphibians, reptiles, birds, and mammals. It's the default template most people imagine when they think about how nervous systems work.
Cephalopods—the group including octopuses, squid, and cuttlefish—took a different approach. Their genes independently became large and complex in ways that mirror vertebrate evolution, but the resulting architecture distributes rather than concentrates. Comparing their nervous systems to ours reveals that centralization isn't inevitable. Intelligence can emerge from federation as readily as from hierarchy.
Even within cephalopods, the design varies by lifestyle. The 2025 University of Chicago study examined squid as well as octopuses and found that squid tentacle stalks—the parts without suckers—lack segmentation. Only the sucker-bearing clubs show the segmented pattern. Squid hunt in open water using vision, so their tentacles serve mainly as striking weapons. Octopuses prowl the seafloor, using their arms as sensitive exploration tools. Form follows function even at the neural level.
The Strange Experience of Distributed Selfhood
Godfrey-Smith, who has written extensively about octopus consciousness, notes that humans struggle to imagine what distributed intelligence feels like from the inside. We experience a unified self, a single point of view from which we observe and act. An octopus might experience something more like a committee, with the central brain as chairperson of a meeting where eight members report their findings and occasionally act on their own initiative.
This raises genuine questions about the boundaries of self. If an octopus arm can taste, touch, and problem-solve semi-independently, is it partly a separate entity? When the arm retracts after being bitten, having learned to avoid a predator, where does that learning reside—in the arm, the brain, or somehow distributed between them?
These aren't just philosophical curiosities. Understanding how octopuses learn with decentralized architecture could inform how we design artificial intelligence systems. Most current AI follows the vertebrate model: centralized processing units making decisions based on sensor inputs. But distributed systems that process information locally, closer to where it's gathered, might prove more efficient for certain tasks. The octopus already solved this engineering problem 300 million years ago.