Quote of the week:
“An expert is a person who has made all the mistakes that can be made in a very narrow field.” – Niels Bohr
How to think like Einstein
“There’s a kind of excited curiosity that’s both the engine and the rudder of great work,” writes the investor Paul Graham in a recent essay, How To Do Great Work. “It will not only drive you, but if you let it have its way, will also show you what to work on.”
Graham’s latest essay is many things: an examination of curiosity, a deep-dive into original thinking, a study of exceptional outliers, and more. But at its core, it’s simply a useful framework for anyone—at any age—who wants do great work. Graham’s advice is ultimately multidisciplinary; it’s a good read whether you’re working in medicine, technology, law, physics, art, or investing. “To find new ideas you have to seize on signs of breakage instead of looking away,” Graham writes. “That’s what Einstein did. He was able to see the wild implications of Maxwell’s equations not so much because he was looking for new ideas as because he was stricter.” He continues:
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AI and the Jevons paradox
A common debate across the AI discourse is the question of whether automation and AI will eliminate millions of jobs. Could the opposite be true? In a recent essay, Benedict Evans makes a compelling case that AI and labor may fall into the Jevons paradox. For the uninitiated, the Jevons paradox is the idea that technological breakthroughs actually increase the use of scarce resources. A common example is observed in fuel-efficient cars: Though hybrid vehicles increased the efficiency of gasoline, the overall use of gasoline actually increased over time because it became more efficient (and cheaper) to drive. AI and human labor could see similar dynamics. “New technology generally makes it cheaper and easier to do something, but that might mean you do the same with fewer people, or you might do much more with the same people,” Benedict writes. He continues:
A few more links I enjoyed:
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