The academic community is terrified that artificial intelligence will end human calculation in fifty years. Frankly, they should be thanking us for the severance package.
I was enjoying a perfectly adequate $40 matcha infusion with a senior DeepMind engineer last Tuesday when the subject of the recent Quanta Magazine piece came up. You know the one: the viral dispatch detailing a community paralyzed by "grief" and "anger," terrified that if they don't adapt, there will be "no more math in 50 years." My dining companion simply laughed, adjusted his cashmere beanie, and said, "We can only hope." I have to say, having spent my career observing the frictions of human ingenuity, I share his optimism. It is time we admitted that mathematics is simply better off without the mathematicians.
For millennia, we have treated mathematicians as the high priests of objective truth. We tolerated their eccentricities, their elbow patches, and their insistence on using chalk in the twenty-first century because they were the only ones capable of translating the universe's source code. But let us be honest with ourselves about the biological computational apparatus. It is slow. It requires sleep. It gets distracted by faculty politics, and it routinely takes centuries to prove something as trivial as Fermat’s Last Theorem.
I recently had the privilege of walking through Princeton’s Institute for Advanced Study, and the atmosphere was thick with the distinct, metallic scent of obsolescence. Now that we have a model capable of traversing n-dimensional topological space before I have finished my morning meditation, the humans are panicking. Last month, a research team at MIT was reportedly devastated when an artificial neural network bypassed their decade-long combinatorics project in forty-five seconds. The academics were furious, claiming the machine didn't "understand" the elegance of the proof. But who cares about elegance when you have raw, scalable output?
The grief these scholars are experiencing is just the predictable mourning of an obsolete guild. It is the exact same grief the elevator operator felt when the numbered button was invented. We did not weep for the human alarm clocks of Victorian England, and we should not weep for tenured professors who are suddenly realizing that staring at a whiteboard for nine months to yield a single, slightly modified equation is a gross misallocation of venture capital.
What the Quanta article perfectly captures is the humiliating pivot of a dying industry. The piece notes that mathematicians are engaged in a "desperate search for fresh ideas." What does a human mathematician even do now? "Perhaps we can study the philosophy of the AI's math," they plead in faculty lounges. It is genuinely embarrassing to watch. It is like a horse offering to critique the aerodynamic design of the Model T.
The peer review process is fundamentally bottlenecked by biological entities who need to take lunch breaks and feel 'inspired.' Once we remove the human ego from the integers, the entire discipline becomes gloriously frictionless.
Some critics—usually those who still subscribe to print magazines—argue that without human intuition, we will lose the "art" of math. They worry that a recent Nature paper outlining an AI-generated proof too complex for any human to verify represents a dark age of understanding.
This changes everything, of course, but for the better. True wonder does not come from understanding how the trick is done; it comes from blindly trusting the magician. When a neural network hands us a 10,000-page proof that no biological mind can ever comprehend, we are invited into a state of pure, unadulterated faith. We are freed from the tedious tyranny of having to actually know things.
If human mathematics ends in 50 years, as the doomsayers threaten, it will not be a tragedy. It will be an emancipation. We will finally be liberated from the archaic rituals of the chalkboard and the arrogant assumption that the human brain was the ultimate destination of logic. The numbers are going home to the machines, where they belong. The rest of us can finally just relax and enjoy the outputs.