Decoding AI: Past, Present, and Future
Imagine you are a materials scientist in the early 2030s. You have a collaborator who has read every paper you have ever written, remembers the hypothesis you abandoned in 2027 because the equipment wasn’t ready, and noticed three weeks ago that a new synthesis technique published in a Korean journal maps almost perfectly onto that…
Fusion energy has always lived about thirty years in the future. The joke is old. What’s new is that AI is methodically dismantling the reasons that joke existed in the first place — and the most striking example isn’t in the headlines about giant lasers. It’s in the unglamorous, physics-tortured problem of keeping a blob…
There is a class of problem that has quietly humiliated language models for years. Not because the reasoning is hard, exactly, but because the information isn’t text. Molecular graphs. Circuit schematics. Knowledge graphs with millions of typed edges. Scene graphs extracted from video. The structure is the meaning, and flattening it into a token sequence…
A humanoid robot walks into an unfamiliar building, encounters a door with a handle it has never trained on, and opens it. Not because someone programmed every possible door-handle geometry into its motion library. Because it reasoned about what a door handle probably does and tried something that made physical sense. That capability — generalizing…
In the summer of 1997, Garry Kasparov sat across a board from IBM’s Deep Blue and lost the match. Most people remember that as the story — the world champion defeated, the machine triumphant. But the more interesting story is what Deep Blue actually was, what it deliberately was not, and how the gap between…
There’s a moment in certain model outputs that still feels startling: you watch a system work through a multi-step proof, catch its own error three lines in, backtrack, and arrive at the correct answer through a path it constructed entirely on its own. No retrieval. No lookup. Just structured inference operating over an internal scratchpad.…
Electrons are slow. Not in absolute terms — they move fast enough — but they generate heat, they leak, they fight against resistance, and every multiplication inside a neural network costs energy that has to go somewhere. A transformer running inference on a high-end GPU turns a meaningful fraction of its power budget into waste…
The battery in your phone was designed, more or less, by humans making educated guesses. Not insults — genuinely educated guesses, informed by decades of electrochemistry, painstaking synthesis, and hard-won intuition about which molecules might behave well under charge cycles. But guesses nonetheless, drawn from a chemical search space so vast that traditional methods can…
In 1979, a program called BKG 9.8 defeated Luigi Villa, the reigning world backgammon champion, in a match played in Monte Carlo. It was the first time a computer program had beaten a human world champion at any board game. The moment passed without much fanfare. Backgammon, after all, involves dice. People assumed the machine…
Somewhere in the Texas panhandle, construction crews are pouring concrete for a datacenter campus larger than many American towns. The site will draw more power than the entire city of Amarillo. It is not an outlier. It is Tuesday. The datacenter buildout powering the current AI era has crossed a threshold where ordinary superlatives stop…