Tech’s Dangerous Disconnect

A century ago, J.P. Morgan, a titan of industry and an early adopter of nascent technologies like electricity and automobiles, embodied the spirit of a techno-optimist.

He saw a world ripe for transformation through invention and engineering.

Yet, even his shrewd foresight could not have pierced the veil of the future to reveal the horrors that lay ahead: two world wars, the Great Depression, genocides, and ideological clashes that would reshape civilization.

Had he lived to witness it, one might imagine him pondering how, amidst such monumental scientific and technological advancements, humanity could have stumbled so profoundly.

Today, we find ourselves at a remarkably similar juncture.

The echoes of the 1920s are disquieting: paradigm-shifting technologies, rising anti-globalist sentiments, widening income inequality, and even the shadow of a global pandemic.

The choices we make now, much like those made a century ago, will cast long shadows over future decades.

Yet, there’s a gnawing concern that those at the helm of creating our future are dangerously disconnected from the world they seek to build.

This isn’t a new phenomenon.

In the heady intellectual circles of Berlin and Vienna in the 1920s, an engineering mindset took root, much like it has in Silicon Valley today.

Inspired by Descartes’ centuries-old vision, these logical positivists believed that human affairs, like machines, could and should be governed by pristine logic and rationality.

Their intellectual lodestar was Ludwig Wittgenstein’s Tractatus, which posited a world of “atomic facts” that, if logically combined, would reveal all meaningful truths.

Anything that couldn’t be expressed in a logical form, he famously declared, must simply be disregarded as “silly talk and gobbledygook.”

Essentially, if it didn’t fit into an algorithm, it practically ceased to exist.

But this exuberant confidence, mirroring the hubris occasionally seen in today’s tech elite, masked a foundational crisis within logic itself.

While these intellectuals were busy trying to rationalize the social sciences, the very bedrock of their project was crumbling.

Russell’s Paradox, a seemingly minor technical wrinkle, exposed deep, self-contradictory statements that tied logic in knots.

Mathematician David Hilbert proposed a program to fix this, demanding that mathematics be complete, consistent, and computable.

The answer arrived sooner, and far more devastatingly, than anyone expected.

In 1931, a mere 11 years after Hilbert laid out his ambitious program, 25-year-old Kurt Gödel published his incompleteness theorems.

The mathematical world reeled.

Gödel proved that any sufficiently powerful logical system could be either complete or consistent, but never both.

In simpler terms, every formal system, no matter how meticulously constructed, is destined to break down.

It will inevitably contain true statements that cannot be proven within its own confines.

The dream of engineering a flawless society based on pure logic was shattered.

The world, for better or worse, would remain a messy, irreducible place.

Yet, from the ashes of this logical edifice, an unexpected silver lining emerged.

Building on Gödel’s work, Alan Turing, in 1936, tackled Hilbert’s computability problem.

He too found that not all problems are computable, but in doing so, he described a simple machine capable of computing every computable number.

This theoretical “Turing machine,” inherently flawed and destined to eventually crash, paradoxically ushered in the digital age.

It taught us a profound lesson: to solve truly significant problems, we often first need to shed our illusions of perfection.

The rationalist assumption that logic could overcome human flaws proved tragically misguided.

The 1930s and 40s, far from ushering in a logical utopia, saw the rise of ideologies that claimed scientific purity, only to plunge the world into unprecedented war and genocide.

In the grim aftermath, as humanity grappled with rebuilding, the German philosopher Martin Heidegger offered a crucial counterpoint.

In his essay, “Building Dwelling Thinking,” he argued that to build for the world, one must first understand what it means to live in it.

He emphasized the inseparable nature of thinking (design), building (creation), and dwelling (living experience).

They must listen to one another, remaining within their limits, acknowledging that both creation and contemplation spring from “the workshop of long experience and incessant practice.”

This fundamental difference between designing for an abstract ideal versus designing for actual human dwelling is palpable in our daily lives.

We feel it navigating an AI-powered customer service maze or a convoluted self-service menu.

It’s the dehumanizing sensation of inhabiting spaces, or interacting with systems, built solely for “thinking” and detached from the messy, complex reality of “dwelling.”

Companies like Apple, Pixar, and Patagonia, which consistently harmonize these elements, win fervent devotion precisely because their creations feel deeply built for us, validating our human experience in a profound way.

However, many of today’s tech architects seem to be losing this vital connection.

Sarah Wynn-Williams, a former Meta executive, describes in “Careless People” how some Silicon Valley leaders, insulated by immense wealth and power, have grown dangerously out of touch.

Her anecdote of a senior leader expressing surprise that refugees might not have jobs is a stark illustration of this profound disconnect.

We increasingly inhabit a “visceral abstract” world, where technologies shaping our lives—artificial intelligence, synthetic biology, quantum computing—are rooted in concepts like quantum mechanics or natural selection that cannot be directly experienced.

When designing a physical bridge, there’s immediate, tangible feedback if the thinking and building are out of harmony with dwelling: the path is bumpy, or people can’t get where they need to go.

Flaws become evident and can be corrected.

But in the realm of the visceral abstract, the consequences are far less concrete.

Nation-states can manipulate us through social media, chatbots can subtly shift our psychology, and our genomes could be engineered in ways we’re entirely unaware of.

As technology’s power multiplies, so too does its potential for both good and ill.

This demands not just carefulness, but a profound sense of connection—to not only think and build, but to truly dwell.

We must remain deeply suspicious of those who peddle visions of flawless logic; such visions are not merely incomplete, they are fundamentally inhuman.

At some point, if we continue down this path, something has got to break.