Technological progress relies on filtering through near-infinite combinations of natural regularities and components to achieve specific functional goals. Economist Matt Clancy demonstrated this immense complexity by showing that combining just 272 named equations produces 2^272 permutations, far surpassing the estimated 10^80 atoms in the observable universe. Furthermore, research by Brian Arthur and Wolfgang Polak reveals that even a modest 16-input, 9-output logic circuit can yield over 10^177,554 phenotypes. Inventors manage this overwhelming landscape by collecting targeted data, as each bit of acquired information effectively halves the remaining search field.
Key points
Inventors achieve technological breakthroughs by methodically eliminating nonfunctional a…: Inventors achieve technological breakthroughs by methodically eliminating nonfunctional arrangements from a vast design landscape.
Mathematical models show that potential combinations of basic components vastly outnumber…: Mathematical models show that potential combinations of basic components vastly outnumber the physical matter in the universe.
Systematic learning accelerates innovation by rapidly narrowing down the incomprehensibly…: Systematic learning accelerates innovation by rapidly narrowing down the incomprehensibly large field of technological possibilities.
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One of my ongoing research interests is understanding the nature of technological progress: How does new technology come into the world and improve over time? What sort of factors affect it? How, in general, should we think about it? I’ve come at this question from a few different angles: posts looking at the operations and legacy of Bell Labs, posts looking at how specific technologies improved over time, posts looking at how frequent multiple invention is and how long we wait for new inventions, and so on.
My current line of thinking is that creating some new technology is best thought of as a search process. A given technology can be thought of as a point in some high-dimensional “design space” or “technology space,” which contains every possible technology: every conceivable arrangement of parts, materials, natural phenomena, and so on. The job of the would-be inventor is to navigate this space, sifting through the arrangements of elements that don’t work to find the ones that will.
This search process is made difficult by the fact that, as with any situation…
A massive Exchange Online server failure triggered widespread technical difficulties across global workplace infrastructure, crippling essential communication services and linked artificial intelligence integrations. Organizations worldwide were forced to activate contingency plans and adopt backup communication channels to prevent complete operational stalls. The tech giant initiated network rollbacks after determining the prolonged system failure was not caused by a cyberattack.
Developed for Rebalance Earth and licensed under the Open Government License, this initiative modernizes open LiDAR access across England to bypass restricted official download sizes and complex bulk-request protocols. Hosted on Source Cooperative, the release enables researchers and developers to stream precise geospatial data seamlessly into web maps, Python environments, and command-line workflows. This approach drastically simplifies regional environmental analysis while reducing bandwidth demands for technica…
Geographic data specialist Robin Wilson has converted England's official elevation datasets into open, cloud-native formats hosted on Source Cooperative. The initiative removes previous download restrictions by allowing researchers and developers to access custom areas directly through standard spatial programming libraries. Since its conference debut, the platform has surpassed one million downloads and delivered terabytes of terrain data.