ZhigengScience

Fusion power has yet to generate a single watt, yet fusion's equipment maker just received an order — from a buyer who intends to drill through the crust and mine the heat of the Earth's interior. A capital-market success story, and possibly the first line of Murphy's Law written into reality.

On September 30, 2026, Figure AI retired its pioneering F.02 robot fleet by having them leap into a 75-ton electric arc furnace. How humanity intends to live with its future silicon partners is the question this article asks. A retirement ceremony is a litmus test of civilization.

Every solution to pollution consumes energy, and every unit of energy spent on 'solving' pollution ultimately becomes heat. And heat is the only pollution that has no solution.

Google DeepMind, OpenAI and Anthropic are building a Standards Authority for Frontier AI (SAFA) — no government mandate, independently run. Some call it a fallback after regulation failed; others call it a moat for monopoly. Tracing centuries of self-regulation tradition and the industry's year-long quest for oversight, this essay argues SAFA is neither: it is a return to the historical high road — rule-making by those who know the trade best and bear its responsibilities.

What pushes humanity toward the abyss is precisely its most virtuous intentions. Fifty-two years ago, the Club of Rome named this kind of crisis. For half a century, hardly anyone picked it up. Yet it turns out to be humanity's ultimate dilemma.

The AI boom has dragged the 'Jevons Paradox,' buried deep in early economic theory, into public view—the same phenomenon, interpreted differently, yields diametrically opposite conclusions. In 1865, Jevons discovered that technological progress raised the efficiency of coal use, yet consumed more coal rather than saving it. Pessimists sound the alarm with it; optimists proclaim the economy's inexhaustible motive force. So is the Jevons Paradox good news, or bad news?