‘To fit inside computers, a simulation of a galaxy’s formation has to lump together vast numbers of molecules, describing how they move en masse, push on each other, transport energy, react to light and radiation, and so on, all without explicit reference to the innumerable individuals within. This requires us to be creative, finding ways to describe the essence of many different processes, allowing for a range of outcomes without obsessing over the detail, which is anyway unknowable. Our simulations necessarily rely on extrapolations, compromises and all-out speculations developed by experts. The uncertain parts cover not just stars, but black holes, magnetic fields, cosmic rays and the still-to-be-understood “dark matter” and “dark energy” that seemingly govern the overall structure of the universe.
This will never result in a literal digital replica of the universe that we inhabit. Such a recreation is just as impossible as a precise forecast for the future of the solar system. But simulations based even on loose descriptions and best guesses can act as a guide, suggesting how galaxies may have evolved over time, enabling us to interpret results from increasingly sophisticated telescopes, guiding us on how to learn more.
Ultimately, galaxies are less like machines, and more like animals – loosely understandable, rewarding to study, but only partially predictable. Accepting this requires a shift in perspective, but it makes our vision of the universe all the richer.’ (from the Guardian)
Back in the day, I had a page on this blog just called Ideas, where I linked to articles on things the appealed to me, mostly politics, consciousness, and quantum physics. Reading this article, I was reflecting on our urge to be the masters of all knowledge, and how futile that is really.


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