As musical instruments improved through history, new kinds of music became possible. Sometimes, the improved instrument could make novel sounds; other times, it was louder; and other times stronger, allowing for more aggressive play. Like every technology, musical instruments are the fruit of generations worth of compounding technological refinement.
In a shockingly brief period between the late 18th and early 19th centuries, the piano was transformed technologically, and so too was the function of the music it produced.
To understand what happened, consider the form of classical music known as the “piano sonata.” This is a piece written for solo piano, and it is one of the forms that persisted through the transition, at least in name. In 1790, these were written for an early version of the piano that we now think of as the
fortepiano. It sounded like a mix of a modern piano and a harpsichord.
Piano sonatas in the early 1790s were thought of primarily as casual entertainment. It wouldn’t be quite right to call them “background music” as we understand that term today—but they were often played in the background. People would talk over these little keyboard works, play cards, eat, drink.
In the middle of the 1790s, however, the piano started to improve at an accelerated rate. It was the early industrial revolution. Throughout the economy,
many things were starting to click into place. Technologies that had
kind of worked for a while began to
really work. Scale began to be realized. Thicker networks of people, money, ideas, and goods were being built. Capital was becoming more productive, and with this serendipity was becoming more common. Few at the time could understand it, but it was the beginning of a wave—one made in the wake of what we today might call the techno-capital machine.
Riding this wave, the piano makers were among a great many manufacturers who learned to build better
machines during this period. And with those improvements, more complex
uses of those machines became possible.
Just as this industrial transformation was gaining momentum in the mid-1790s, a well-regarded keyboard player named Ludwig van Beethoven was starting his career in earnest. He, like everyone else, was riding the wave—though he, like everyone else, did not wholly understand it.
Beethoven was an emerging superstar, and he lived in Vienna, the musical capital of the world. It was a hub not just of musicians but also of musical
instruments and the people who manufactured them. Some of the finest piano makers of the day—
Walter,
Graf, and
Schanz—were in or around Vienna, and they were in fierce competition with one another. Playing at the city’s posh concert spaces, Beethoven had the opportunity to sample a huge range of emerging pianistic innovations. As his career blossomed, he acquired some of
Europe’s finest pianos—including
even stronger models from British manufacturers like
Broadwood and Sons.
Iron reinforcement enabled piano frames with higher tolerances for louder and longer play. The strings became more robust. More responsive pedals meant a more direct relationship between the player and his tool. Innovations in casting, primitive machine tools, and mechanized woodworking yielded more precise parts. With these parts one could build superior hammer and escapement systems, which in turn led to faster-responding keys. And more of them, too—with higher and lower octaves now available. It is not just that the sound these pianos made was new: These instruments had an enhanced, more responsive
user interface.
You could hit these instruments harder. You could play them softer, too. Beethoven’s iconic use of
sforzando—rapid swings from soft to loud tones—would have been unplayable on the older pianos. So too would his complex and often rapid solos. In so many ways, then, Beethoven’s characteristic style and sound on the keyboard was
technologically impossible for his predecessors to achieve...
Beethoven’s compositions for other instruments followed a structurally similar trajectory: compounding leaps in expressiveness, technical complexity, and thematic ambition, every few years.
Here is what one of Mozart’s finest string quartets sounded like.
Here is what Beethoven would do with the string quartet by the end of his career.
No longer did audiences talk during concerts. No longer did they play cards and make jokes. Audiences became silent and still, because what was happening to them in the concert hall had changed. A new type of art was emerging, and a new meta-character in human history—the
artist—was being born. Beethoven was doing something different, something grander, something more intense, and the way listeners experienced it was different too.
The musical ideas Beethoven introduced to the world originated from his mind, but those ideas would have been unthinkable without a superior instrument.
—
I bought the instrument I’m using to write this essay in December 2020. I was standing in the frigid cold outside of the Apple Store in the Georgetown neighborhood of Washington, D.C., wearing a KN-95 face mask, separated by six feet from those next to me in line. I had dinner with a friend scheduled that evening. A couple weeks later, the Mayor would
temporarily outlaw even that nicety.
I carried this laptop with me every day throughout the remainder of the pandemic. I ran a foundation using this laptop, and after that I orchestrated two career transitions using it. I built two small businesses, and I bought a house. I got married, and I planned a honeymoon with my wife. (...)
In a windowless office on a work trip to Stanford University on November 30, 2022, I discovered ChatGPT on this laptop. I stayed up all night in my hotel playing with the now-primitive GPT-3.5. Using my laptop, I educated myself more deeply about how this mysterious new tool worked.
I thought at first that it was an “answer machine,” a kind of turbocharged search engine. But I eventually came to prefer thinking of these language models as
simulators of the internet that, by statistically modeling trillions of human-written words, learned new things about the
structure of human-written text.
What might arise from a deeper-than-human understanding of the structures and meta-structures of nearly all the words humans have written for public consumption? What inductive priors might that understanding impart to this cognitive instrument? We know that a raw pretrained model, though deeply flawed, has quite sophisticated inductive priors with no additional human effort. With a great deal of additional human effort, we have made these systems quite useful little helpers, even if they still have their quirks and limitations.
But what if you could teach a system to
guide itself through that digital landscape of modeled human thoughts to
find better, rather than likelier, answers? What if the machine had
good intellectual taste, because it could
consider options,
recognize mistakes, and
decide on a course of cognitive action? Or what if it could, at least,
simulate those cognitive processes? And what if that machine improved as quickly as we have seen AI advance so far? This is no longer science fiction; this research has been happening inside of the world’s leading AI firms, and with models like OpenAI’s o1 and o3, we see undoubtedly that progress is being made.
What would it mean for a machine to match the output of a human genius, word for word? What would it mean for a machine to exceed it? In at least some domains, even if only a
very limited number at first, it seems likely that we will soon breach these thresholds. It is very hard to say how far this progress will go; as they say, experts disagree.
This strange simulator is “just math,”—it is, ultimately, ones and zeroes, electrons flowing through processed sand. But the math going on inside it is more like biochemistry than it is like arithmetic. The language model is, ultimately, still an instrument, but it is a strange one. Smart people, working in a field called mechanistic interpretability, are bettering our understanding all the time, but our understanding remains highly imperfect, and it will probably never be complete. We don’t quite have precise control yet over these instruments, but our control is getting better with time. We do not yet know how to make our control systems “good enough,” because we don’t quite know what “good enough” means yet—though here too, we are trying. We are searching.
As these instruments improve, the questions we ask them will have to get harder, smarter, and more detailed. This isn’t to say, necessarily, that we will need to become better “prompt engineers.” Instead, it is to suggest that we will need to become more
curious. These new instruments will demand that we formulate
better questions, and formulating better questions, often, is at least the seed of formulating better answers.
The input and the output, the prompt and the response, the question and the answer, the keyboard and the music, the photons and the photograph. We push at our instruments, we measure them up, and in their way, they measure us. (...)
—
I don’t like to think about technology in the abstract. Instead, I prefer to think about instruments like this laptop. I think about all the ways in which this instrument is better than the ones that came before it—faster, more reliable, more precise—and why it has improved. And I think about the ways in which this same laptop has become wildly more capable as new software tools came to be. I wonder at the capabilities I can summon with this keyboard now compared with when I was standing in that socially distanced line at the Apple Store four years ago.
I also think about the young Beethoven, playing around, trying to discover the capabilities of instruments with better keyboards, larger range, stronger frames, and suppler pedals. I think about all the uncoordinated work that had to happen—the collective and yet unplanned cultivation of craftsmanship, expertise, and industrial capacity—to make those pianos. I think about the staggering number of small industrial miracles that underpinned Beethoven’s keyboards, and the incomprehensibly larger number of industrial miracles that underpin the keyboard in front of me today. (...)
This past weekend, I replaced my MacBook Air with a new laptop. I wonder what it will be possible to do with this tremendous machine in a few years, or in a few weeks. New instruments for expression, and for intellectual exploration, will be built, and I will learn to use nearly all of them with my new laptop’s keyboard. It is now clear that a history-altering amount of cognitive potential will be at my fingertips, and yours, and everyone else’s. Like any technology, these new instruments will be much more useful to some than to others—but they will be useful in some way to almost everyone.
And just like the piano, what we today call “AI” will enable intellectual creations of far greater complexity, scale, and ambition—and greater repercussions, too. Higher dynamic range. I hope that among the instrument builders there will be inveterate craftsmen, and I hope that young Beethovens, practicing a wholly new kind of art, will emerge among the instrument players.
Image: 1827 Broadwood & Sons grand piano/Wikipedia
