When Rationality Becomes the Measure of Everything
Modernity gave us extraordinary powers. It also taught us to ask whether almost every human problem can be translated into a problem of optimization.
I spend a good part of my working life making machines do things that were previously difficult. I write software that programs flash memory, moves firmware, boots processors, updates devices, and makes complicated systems behave predictably.
I like this work precisely because it rewards clarity. A processor either jumps to the right address or it does not. A boot image either verifies or it does not. A system either recovers after a failed update or it does not.
But that success creates a strange temptation: once a way of thinking works extremely well in one domain, we start applying it everywhere.
We begin to treat education as an optimization problem, friendship as a network, attention as a resource, health as a set of metrics, work as a productivity function, and a human life as something that ought to show measurable improvement from one release to the next.
The question I want to explore in these notes is not whether reason is good. It is whether instrumental reason can quietly become the standard by which every other kind of value must justify itself.
1. Aristotle starts with a question modern engineering tends to skip
One useful place to begin is Aristotle's Nicomachean Ethics. His starting question is not “How can I optimize this system?” It is “What is it to live well?”
That difference sounds small until you notice what it changes. A technical discipline normally begins with an end already supplied: given this objective, what means will achieve it most reliably? Aristotle is interested in the prior question of what our ends should be and how they fit together.
His concept of eudaimonia—often translated as happiness or flourishing—is not a mood or a score. It is a way of living well. And practical wisdom (phronesis) is not merely the ability to calculate efficiently. It involves learning, through experience and character, what is worth doing in a particular situation.
This is already a useful warning for a technological society. Calculation can tell me which route is shortest. It cannot, by itself, tell me whether I should make the journey.
2. Descartes makes method extraordinarily powerful
Then something changes in early modern Europe. René Descartes makes method, doubt, clarity, and mathematical intelligibility central to the search for knowledge. This is not simply “the beginning of modern stupidity,” as a crude anti-modern story might suggest. The power of the modern project comes precisely from its ability to produce reliable knowledge by disciplined methods.
That achievement matters. If I want to understand a control system, design a processor, or debug a bootloader, disciplined abstraction is one of the greatest intellectual tools ever developed.
The difficulty begins when methodological success makes us forget that method answers a narrower question than life does.
A proof can establish whether something follows from premises. An experiment can tell us whether a prediction survives observation. An engineering calculation can tell us whether a design will meet a requirement.
None of those methods, standing alone, supplies the requirement itself.
3. Bacon turns knowledge toward power
Francis Bacon pushes the modern project in another direction. Scientific knowledge is increasingly connected with practical power: understanding nature so that human beings can act upon it.
This is one of the great sources of modernity's astonishing productivity. Knowledge is no longer only something to contemplate; it becomes something that can produce effects in the world.
Again, there is nothing inherently wrong with that. A vaccine, a microprocessor, a reliable spacecraft, or a safer medical device is not philosophically suspect merely because it is useful.
The deeper question is what happens when usefulness becomes our default definition of knowledge, and when effectiveness becomes our default definition of value.
4. Weber gives the problem a name: rationalization
Max Weber makes this historical shift much harder to ignore. His account of modernity emphasizes rationalization: increasing calculation, formalization, specialization, bureaucracy, and systematic control.
This is not the same thing as “people became more rational.” Weber's point is more unsettling. Modern institutions can become increasingly rational in an instrumental sense while leaving the ultimate purposes of action unresolved.
A bureaucracy can become extraordinarily efficient while nobody inside it can answer why the institution's goals deserve to govern a human life.
Science can explain more and more about how the world works without deciding what we ought to love, sacrifice for, worship, or regard as sacred.
That gap is one of the central problems I want this blog to keep returning to.
5. Heidegger asks us to look underneath the machines
Martin Heidegger takes the question somewhere stranger. His concern with technology is not primarily that people will possess too many gadgets. He asks whether modern technology has become a way of revealing the world—a way in which things show up for us in the first place.
In a technological mode of thinking, things increasingly appear as resources waiting to be ordered, measured, stored, optimized, and made available.
That description feels uncomfortably familiar.
Software gives us dashboards. Sensors turn environments into data streams. Machine learning turns behavior into features. Cloud systems turn computation into capacity. Management systems turn people into metrics. Even our own attention becomes something we measure and optimize.
The danger is not that these representations are false. The danger is that they are partial—and that the partial view becomes the only view we trust.
6. The engineer's paradox
This leaves me with a paradox I want to investigate rather than resolve too quickly.
The engineering mindset is one of humanity's great achievements. It teaches us to make things explicit, define interfaces, test assumptions, measure failure, and improve designs. It is a remarkable discipline against wishful thinking.
But engineering is strongest when the engineer already understands what the system is for.
Give me an objective and I can help optimize it. Change the objective and I can optimize again. But the ability to optimize many possible objectives does not tell us which objective deserves our loyalty.
That is the boundary I am interested in: the boundary between reasoning about means and reasoning about ends.
7. So this is not an anti-technology blog
Quite the opposite.
I want to understand technology better by refusing to treat it as self-justifying. I want to understand rationality better by distinguishing reason from calculation. I want to read the philosophers who came before us because they often asked questions that our technical vocabulary makes strangely difficult to formulate.
And I want to bring those questions back into the workshop.
When I write about a flash programmer, I want to understand not only how the programmer works, but what abstraction is hiding. When I write about OTA, I want to ask what it means for a machine to safely replace the program by which it understands its own behavior. When I write about increasingly capable technology, I want to ask what capability is for.
The Western canon gives us several different vocabularies for this investigation: Aristotle's flourishing and practical wisdom; Descartes' method; Bacon's transformation of knowledge into power; Nietzsche's suspicion of inherited values; Weber's rationalization and disenchantment; Heidegger's critique of technological revealing; and, elsewhere, Kafka's vision of the human being caught inside systems whose logic exceeds him.
I don't expect these thinkers to agree. They shouldn't. The point of reading them is not to pick a philosopher and adopt a system. It is to make the questions sharper.
The question for a technological age is not only “What can we build next?” It is also “What kind of human being are we becoming by making building our highest measure?”
That is the thread I want to follow here.