
The Energy Problem AI Cannot Solve for Itself
Efficiency is not the answer. It never was. The question was always about continuity.
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Every time a large language model answers a question, something burns. Not metaphorically.

The objections are familiar. The answers, examined independently, are harder to dismiss than they first appear.

How machine learning became the silent collaborator in engineering materials that didn't exist a decade ago

Three years of failed experiments. Then, in late November, the results changed. Babak Bakhit, a researcher at the University of Cambridge's Department…

On AI, Intent Disambiguation, and Why the Most Important Step in Understanding New Technology Is Often the One Nobody Takes.

The industrial world has a legacy problem. Factories and energy plants across the globe still depend on hardware-locked control systems built for a previous…

Artificial intelligence consumes power at an accelerating rate. A technology built on harvesting cosmic radiation offers a solution that closes the loop…

Under most discussions of artificial intelligence in energy, the conversation begins in the wrong place.

Every generation of energy technology has failed in roughly the same way. It spoke too early about outcomes and too little about limits.

The rise of artificial intelligence has redrawn the boundaries of computation. Every neural network, every training cycle…

Scientific progress has always been measured not only by the magnitude of its discoveries but also by the time it takes to achieve them.