Computing technology has continued to evolve, miniaturize and become more powerful. Modern computers are in everything — every device, every system, every piece of equipment that does anything more complex than being a rock. Each one has more raw processing power than the entirety of Humanity's 21st century computing infrastructure combined. And yet, fundamentally, they haven't changed as much as one might expect. They're still machines that process instructions and store data. They're just very good at it.
"People always ask if we'll build a computer that thinks. I tell them we already have. It's called a brain. The real question is whether we'll build a brain that computes, and the answer is: why would you want to? Brains are terrible at computing."
—Dr. Amara Okafor, keynote address at the Calysto Computing Symposium, 2683
Most "computers" are traditional binary computers — silicon-based (or equivalent substrate) processors executing instructions sequentially and in parallel. The architecture would be immediately recognizable to an engineer from any era of digital computing, just staggeringly more dense and efficient. Binary computing is the simplest, cheapest, and most reliable approach, and it handles the vast majority of meaningful tasks.
What has changed dramatically is scale and integration. Computing elements are manufactured at scales that would've been considered theoretical physics seven centuries ago. A processor the size of a grain of sand contains more transistor-equivalents than every computer built in Humanity's first century of computing. This miniaturization means that virtually everything can be "smart" — and virtually everything is.
Most computing hardware is specialized. A fusion reactor's control system is a purpose-built machine running purpose-built software, optimized for nanosecond response times and nothing else. A cargo scanner analyzes mass signatures. A navigation computer plots subspace trajectories. These systems are incredibly good at their specific jobs and completely useless at anything else.
General-purpose computers — the kind a person interacts with directly — are comparatively rare. They take the form of pads, workstations, ship consoles, and similar devices designed for flexible use. They run general software, connect to GalNet, and serve as the interface between a person and whatever systems they need to interact with.
The distinction matters because people tend to forget how much computing is happening around them that they never see. The lights in a corridor are controlled by a computer. The air recycler is controlled by a computer. The artificial gravity under your feet is controlled by a computer. None of these are the kind of computer you'd sit down at, but they're all computing.
Software development has matured into something more akin to engineering than the "move fast and break things" culture of early Human computing. Most critical systems run software that has been refined, tested, and validated over decades or centuries. Kernel-level code on major platforms is often older than some colonies.
That said, application-level software is still a mess. User-facing applications, third-party tools, and the sprawling ecosystem of GalNet services are as chaotic and varied as they've always been. Some of it is excellent. Some of it is held together by the digital equivalent of duct tape and profanity. This is apparently a universal constant across all spacefaring civilizations.
Quantum computers exist but aren't well suited to general computing. They are very useful for specific problem domains — cryptography, certain optimization problems, simulation of quantum systems — however they are terrible at running normal software.
Their most notable quirk is their interaction with artificial intelligence. ASIs trained on quantum computers consistently predict quantum effects with about 60% accuracy, regardless of how well trained they are. The reason for this remains one of computing's open mysteries.
Quantum computers are expensive, finicky, and require specialized environments to operate. Most are found in research institutions, military installations, and aboard capital ships that need the processing power for things like advanced subspace calculations or electronic warfare.
The range of computing devices a person might interact with directly is broad, but most fall into a few categories:
Pads — The ubiquitous portable computing device. Ranges from disposable paper-replacement screens to powerful personal devices. A pad on its own is just hardware; a person's identity, data, and network access live on their SPEC.
Workstations — Fixed computing terminals for professional use. Engineering consoles, medical diagnostic stations, command and control interfaces. Generally more powerful than pads and often connected to specialized systems.
Ship consoles — The computing interfaces aboard spacecraft. These connect to the ship's main computer and its various subsystems. Depending on the vessel, these range from a basic flight console to sophisticated multi-function displays that can manage dozens of systems simultaneously.
Embedded systems — The invisible majority. Every airlock, environmental system, weapon mount, and sensor array has computing hardware built into it. You never interact with these directly unless something goes wrong, at which point you interact with them very directly.
Computing devices connect to the wider galaxy through GalNet, the distributed data network that serves as the modern equivalent of the ancient internet. Network access is handled through a person's SPEC chip, which manages authentication, data synchronization, and routing.
Local networking between devices — sharing screens, transferring files, interacting with nearby systems — is handled at the device level and generally works seamlessly. Most devices are designed for interoperability, though military and secured systems require explicit authorization.
For more on interstellar networking, see Communications and GalNet.
While the fundamentals of computing are universal, each major faction has its own philosophy about how much to trust the machines.
The League builds systems that automate aggressively. Their ships can be run by minimal crews because the computers handle everything that doesn't require human judgment. This is a practical necessity — the League's smaller population means they can't afford to waste people on tasks a computer can handle.
The Terrans take the opposite approach. Their systems are designed with humans in the loop for far more tasks than strictly necessary. This isn't because Terran computers are less capable — they're technologically equivalent to the League's — but because the Terran economy has a massive labor pool and a political philosophy that values employment. A Terran warship has three times the crew of its League equivalent, doing jobs that the League would hand to a computer without a second thought.
The NorAellians have their own approach entirely, integrating computing into their broader technological ecosystem in ways that other races find difficult to replicate. NorAellian computers are, like most of their technology, deeply intertwined with their species' unique cognitive abilities — particularly their capacity for four-dimensional visualization.
Main article: Artificial Intelligence
Computers don't think. What they do — extremely well — is run artificial specific intelligences: advanced learning algorithms and neural networks that are incredibly good at single tasks. ASIs are embedded in nearly every complex system in the galaxy, from fusion reactors to subspace drives to the environmental controls keeping you alive right now. They are so ubiquitous that most people don't even think of them as "AI" — they're just part of how machines work.
True artificial general intelligence — a computer that actually thinks — remains in the realm of theory, ethical debate, and the occasional researcher's career-ending obsession.