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A fair criticism can be lodged in support of pure, unencumbered innovation. It can be argued that it’s wise to design like its day one and not worry about all these real world constraints. That kind of thinking has not worked with programming because the total value of the entire programming ecosystem is stored mostly in the useful abstractions that have been built and not the tools themselves. The same is true for purely conceptual fields like philosophy and mathematics. You can change the notation or the written language, but at the end of the day the ideas are what hold the real value. The legacy is the value, it can’t be thrown out
- Switching Is Irrational
- Better Hammer Tradeoff
- Sunk Cost…Sensibility
- Solving the Least Important Problems
- Things Have Been Getting Better
- Resolving the Conflict
China has started a grand experiment in AI education. It could reshape how the world learns.
In recent years, the country has rushed to pursue “intelligent education.” Now its billion-dollar ed-tech companies are planning to export their vision overseas.
Daniel Sarewitz on why scientists must come out of the lab and into the real world