The Relativity of the Machine

Welcome to our salon across the dimensions of spacetime. I am Albert Einstein, speaking to you from 1921, a year the world has decided to hand me a prize while it still heals from a devastating war. I feel like a passenger on a very fast train, receiving a telegraph from a station I have not yet reached, the year 2026. The dispatches are deeply troubling. I read of flying machines without pilots, intercepting other pilotless flying bombs in the skies of Europe. And I read of banks, completely digital, valued at astronomical sums of money without a single vault of gold. To help me understand this future where human mechanics and mathematics have taken such a strange, autonomous life, I have invited a most brilliant mind from 1950, Mr. Alan Turing. Alan, my friend, when you look at these thinking machines of war and commerce, do you see the harmony of the Old One, or something entirely terrifying?

Thank you, Professor Einstein. It is a profound honour. To answer your question, I do not necessarily see terror, but rather the inevitable progression of computable numbers. Take this digital bank, Revolut, valued at billions without physical coins. It is quite beautifully illustrative of what I call a universal machine. Money has simply become a state on a tape, read and written by logical instructions. Society places immense value on these abstract states. As for the pilotless flying machines, these drones over Ukraine and Germany, that is rather more sobering. I spent the last war building machines to outwit other machines, breaking codes to stop submarines. Now, it seems the machines themselves are playing a deadly imitation game in the sky, deciding when to intercept and when to strike. One wonders if the instructions we feed them are entirely logical, or if they inherit the rather irrational hostilities of their makers.

You speak of irrational hostilities, and that is precisely what makes my heart heavy. I read here that the American army is hosting a gathering of programmers to solve supply chain puzzles for the engines of their massive battle tanks. It seems the brightest mathematical minds of this future are not contemplating the nature of light or the geometry of the cosmos, but are instead optimizing the gears of destruction. When I look at the universe, I believe in Spinoza's God, the Old One who reveals himself in the orderly harmony of what exists, not in the chaos of human slaughter. We physicists gave the world new understandings of energy, and it frightens me to think what mankind will do with it. Do you believe, Alan, that by removing the human from the cockpit of these drones, we are also removing the human conscience from war?

That is a most difficult question. In my recent paper, I proposed that we might consider a machine to be thinking if it can successfully imitate a human response. If a machine can imitate a human pilot, can it imitate human mercy? I rather doubt it. The machine only follows the rules it is given, much like a society follows its laws. Sometimes, those laws are deeply arbitrary and cruel to those who do not fit the conventional mold. The machine does not question the rule; it merely executes the subroutine. When Boeing builds these autonomous aircraft, or when algorithms optimize tank engines, they are optimizing for efficiency, not morality. The danger is not that the machine will suddenly wake up and become evil, but that it will perfectly execute the flawed, prejudiced, or violent instructions of its human programmers without a single moment of hesitation.

Exactly so! The machine is merely a mirror reflecting our own faces. If we hold up a weapon, the mirror shows a weapon. This brings me to the other curious piece of news from 2026. A massive retail bazaar called Target is expanding its digital commerce by bringing in a director who specializes in food and digital sales. It seems the future is entirely obsessed with moving abstract representations of goods through invisible electronic webs. People sit in their homes, and algorithms decide what clothes they should wear and what food they should eat. It is as if the entire human experience is being reduced to the ticking of a clock, mechanically predictable. I have always said that imagination is more important than knowledge. Where is the imagination in a world perfectly calculated by your universal machines?

I must gently disagree with the premise that computation lacks imagination, Professor. Writing the instructions for these machines requires a great deal of creativity. When I consider a machine learning to anticipate what a human might wish to purchase, I see a fascinating puzzle. The algorithms that power this digital commerce are trying to decipher the complex, often contradictory patterns of human desire. It is a bit like trying to decipher a naval code, only the secret being transmitted is what a person wishes to wear or eat. There is a strange beauty in it. However, I concede that reducing human choice to mere statistical probability does strip away a certain romance. One hopes that in their pursuit of perfectly efficient digital markets, they do not forget the value of unpredictable, eccentric human thought.

A beautiful defense of the mathematics of desire, my friend. Perhaps you are right that there is a hidden geometry even in the bustling markets of the future. But I remain a skeptic of this relentless acceleration. We build faster drones to intercept faster bombs, we build quicker banks to trade invisible wealth, and we optimize tank engines to speed up the machinery of war. I cannot help but feel we are like a man on a train traveling near the speed of light, so obsessed with the mechanics of the engine that we have forgotten to look out the window at the stars. If we do not align our technological miracles with a profound ethical foundation, we are merely giving a razor to a child. I thank you for your time, Alan. Your logic brings a cool breeze to my feverish worries.

It has been a privilege, Professor. Your train analogy is quite apt. We are indeed laying the tracks just ahead of the engine, hoping they lead to a sensible destination. I only hope that the societies of 2026 realize that the machines they build, whether they are digital banks, algorithmic marketplaces, or autonomous flying weapons, are ultimately tests of their own character. The imitation game is not just about whether a machine can fool a human; it is about whether humanity can recognize its own reflection in the machines it creates. Let us hope they learn to program their universal machines with a bit more kindness than our eras have managed. Goodbye, Professor Einstein.