Scientific Principle
The process of finding the best solution within a defined set of constraints. Nature and physics are full of optimisation: Fermat's principle of least time, the principle of least action, natural selection, and algorithmic search are all instances of the same underlying logic.
Other principles
A model trained to detect skin cancer learned to look for rulers instead. The explainability problem is not a glitch. It is Goodhart's Law running at machine speed — and the gap between what AI systems can do and what we understand about how they do it is where the most consequential work in the field is now happening.
In 2012, a neural network cracked image recognition in a way that reshaped the entire AI field. Andreas Møgelmose traces what neural networks actually are, how convolutional architectures build understanding in layers, and why a cancer-detection model that learned to spot rulers instead tells us something important about where the field still cannot go.
The plant-based movement faces a cultural barrier that engineering cannot solve. Precision fermentation bypasses the debate entirely and will succeed not through moral persuasion but through the same economic logic that ended every previous paradigm shift in food.
A cow converts roughly 4% of its feed into usable protein. Precision fermentation bypasses the animal entirely and produces identical protein in a steel tank. Lars Horsholt Jensen explains why this shift will not happen through consumer choice but through economics.
Danish agriculture produces food with astonishing efficiency — for the wrong target. We have spent a century optimising animal feed production. The next revolution requires recognising when the metric has drifted from the purpose.
By 2050, the world must produce 60% more food on 20% less land. Lars Horsholt Jensen explains why incremental improvement cannot close that gap — and what regenerative farming, biochar, and autonomous strip cropping look like as architectural alternatives.
The most powerful advances in astronomy come from smarter signal extraction, not bigger hardware. A spectrograph on a modest telescope can reveal more about a distant star than a raw image from a larger one, because what you extract from the light matters more than how much of it you gather.
Modern telescopes do not just magnify. They extract meaningful signal from noise. Mads Fredslund Andersen explains how spectrographs, adaptive optics, and indirect detection have transformed what we can know about the universe.
Astrobiology is criticised for being Earth-centric. That criticism misunderstands the epistemics. You cannot search for something you cannot characterise — and Earth is the only example of life we have.
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