Decoding AI: Past, Present, and Future
In 1997, a small team at the University of Illinois built a system called AVICAR. It watched people speak inside moving cars and tried to match lip movements to words. The accuracy was poor. The computational cost was enormous. The research community mostly filed it under “interesting failure” and moved on. Two decades later, DeepMind’s…
For most of human history, specialized knowledge has been scarce by design. Not maliciously — scarcity was simply a structural fact. It took a decade to train a cardiologist, another half-decade to make them good, and geography and economics meant that most of the world’s people never got near one. The same was true for…
Imagine handing a researcher an entire codebase — not a file, not a module, but the complete repository, a hundred thousand lines of tangled logic — and asking them to locate the subtle bug that only manifests under a specific sequence of API calls. That task requires holding an enormous amount of context in working…
There is a moment in a conversation with the newest generation of frontier models where something strange and impressive happens: you watch the system hesitate, not from confusion, but from deliberation. It is running a plan. And the plan is genuinely, verifiably better than anything produced by a model that simply begins predicting the next…
Drop a humanoid robot into a construction site, a hospital corridor, or a loading dock and the thing most likely to stop it cold isn’t a locked door or an unknown object. It’s a wet patch of concrete. A cable on the floor. A slight gradient nobody thought to mention. The physical world is relentlessly…
Here is something that would have seemed almost philosophically confused five years ago: the most capable AI reasoning systems now improve their answers by arguing against themselves. Not as a trick. Not as a wrapper. As a core architectural feature of how they think. The technique goes by several names depending on who you ask…
Every GPU running inference today is fighting the same war it has always fought: moving data. Not computing — moving. The arithmetic itself is almost incidental. The real bottleneck is the constant, energy-hungry shuttle between processing cores and memory, a gap so fundamental to conventional chip design that engineers call it the Von Neumann bottleneck,…
Most of the universe runs on partial differential equations that nobody can fully solve. The Navier-Stokes equations govern every turbulent flow — in jet engines, ocean currents, stellar interiors — and while we can prove they exist, analytical solutions to the full system remain mathematically out of reach. Climate models approximate them. Aerodynamics codes discretize…
There is a data center going up on the Columbia River Plateau where the nearest town has a single stoplight. The site was chosen not despite its remoteness but because of it: cheap land, cold air for free cooling, a hydroelectric grid that can deliver clean, stable power at scale, and fiber routes that planners…
The Library Computer Access and Retrieval System — LCARS, the glowing, voice-responsive intelligence behind every console on the USS Enterprise — was never portrayed as a mind. It was something more useful: a perfectly patient, instantly knowledgeable collaborator that could cross-reference stellar cartography with medical databases, run seventeen simultaneous simulations, and explain any of it…