Claude Shannon published "A Mathematical Theory of Communication" in 1948, defining the bit, the channel capacity theorem, and the mathematical framework within which essentially every later advance in communications, compression, cryptography, and machine learning would be expressed. His master's thesis, a decade earlier, had already shown that Boolean algebra could be implemented in electrical relays — arguably the founding document of digital computing.
Why it was unfashionable
Shannon worked, by preference, far from the public eye, at Bell Labs and later MIT. His personality — juggling, unicycles, a shed full of mechanical curiosities — was not the 1950s archetype of the serious scientist. Information theory itself, on publication, was regarded by parts of the engineering establishment as too abstract to matter; its decisive industrial payoff took roughly two decades to arrive.
What the Age of Abundance inherited
Every error-correcting code that keeps a satellite link alive, every compression algorithm that makes video streaming economic, every channel-capacity argument that underwrites modern wireless, and every modern ML loss function expressed in bits or nats — all of it is downstream of Shannon. Compute Abundance is, in a real sense, the operational cashing-out of his theorems.
The pattern
Shannon is the archetype of the quiet foundational thinker: unambitious in self-promotion, unignorable in consequence. The Age of Abundance wiki treats such figures as the load-bearing majority of civilizational progress, even when the surrounding culture remembers only the louder names around them.