Tag: uncertainty

Categories
AI

The Coach Who Wouldn’t Change

In 1975, a twenty-four-year-old Kodak engineer named Steve Sasson built the first digital camera. It was the size of a toaster, captured a black-and-white image at 0.01 megapixels, and took twenty-three seconds to record a single photograph to a cassette tape. Sasson showed it to his managers. Their response, as he later recalled, was essentially: that’s cute, but don’t tell anyone about it.

Kodak was not a stupid company. It was a dominant one. At its peak it held 90 percent of the American film market and 85 percent of camera sales. Film was not just a product line — it was the entire economic architecture of the company. Processing fees, paper, chemicals, the retail relationships built around the assumption that photographs needed to be developed. Digital threatened all of it simultaneously. So Kodak did what dominant companies do when confronted with a threat they can’t absorb into the existing model: they managed it. They ran studies. They filed patents. They made incremental moves. They protected the thing that was working rather than building the thing that would work next.

Kodak filed for bankruptcy in 2012. The digital camera had been sitting in their own archives for thirty-seven years.

Nokia’s version of the same story has a different texture. Where Kodak’s failure was about protecting a margin, Nokia’s was about identity. Through the 1990s and into the early 2000s, Nokia was mobile phones — not a major player, but the category itself. At its peak it held over 40 percent of the global handset market. The company had navigated a remarkable transformation earlier in its history, shedding paper mills and rubber boots to become a pure technology company. It knew how to change. It had done it before.

What it couldn’t do was change from a hardware company into a software one. When the iPhone arrived in 2007, Nokia’s internal assessments were, by most accounts, accurate. They understood the threat. They had touchscreen prototypes in development. What they couldn’t manage was the cultural distance between building phones that were superb physical objects — durable, reliable, made to exacting standards — and building phones that were primarily platforms for software that other people would write. The excellence that had made Nokia great was manufacturing excellence. The game was becoming something else, and manufacturing excellence was not only insufficient for the new game; it was actively in the way, because it oriented every decision toward the object rather than the experience.

Nokia’s market share collapsed from over 40 percent in 2007 to under 5 percent by 2013.

Andy Grove, who built Intel into the dominant force in semiconductors, called it plainly: only the paranoid survive. He meant it as a prescription. His successors treated it as a trophy.

Both stories have the clean shape of settled history. We know how they end. The verdict is in, the lesson is available, and it’s easy to read them now as cautionary tales about obvious mistakes made by people who should have known better.

This is the wrong way to read them.

Kodak and Nokia didn’t fail because they were blind. They failed because they were standing on a fulcrum — a moment when the old game and the new game were both plausibly real — and they chose the wrong side. At the time, that choice was not obviously wrong. Film was still enormously profitable. Nokia’s hardware was genuinely superior. The rational case for staying the course was real, and the people making it were not fools.

The reason the Kodak story is still told fifty years later is not that the mistake was obvious. It’s that it wasn’t — and they made it anyway.

Which brings us to now. Because there is a fulcrum in front of the enterprise software industry, and nobody knows yet which way it tips.

The companies in question — Salesforce, ServiceNow, and most of the SaaS category built over the last twenty years — were constructed on a simple and powerful premise: that businesses would pay recurring subscription fees for software that managed their customer relationships, their workflows, their data. The premise was correct. It produced some of the most durable businesses in the history of technology.

The threat AI poses to this model is not subtle. If an AI agent can handle a customer service interaction, manage a workflow, or synthesize a CRM record without a human touching licensed software to do it, then the per-seat subscription model — the economic engine underneath all of it — starts to look like film processing in 2003. Theoretically intact. Quietly at risk.

The responses of these companies have been instructive, and they’ve diverged.

Here is the honest position: we don’t know yet. The fulcrum is still in motion.

It’s possible that Salesforce’s Agentforce is the Kodak digital camera — the real thing, built by the right company, that gets buried under the weight of protecting what already works. It’s possible that the SaaS model is more durable than the threat suggests, that enterprises will pay for trusted platforms regardless of the underlying labor model, and that the companies racing hardest to cannibalize their own revenue streams are making a different kind of mistake. It’s possible that ServiceNow’s consistency is discipline, or that it’s the Nokia instinct to keep building the best version of the thing that used to win.

What the Kodak and Nokia stories actually teach — not the simplified version, but the harder one — is that the mistake is never visible in the moment it’s made. It only becomes visible later, when the fulcrum has tipped and the choice that was once defensible has become permanent.

The coach who wins five championships holds the philosophy and rotates the players. The coach who wins one holds the players and calls it philosophy.

The enterprise software companies standing at this moment have a version of the same decision. The ones who make it correctly will, in twenty years, be the ones we cite as examples of adaptation. The ones who don’t will be the ones we cite as examples of something else.

We just don’t know yet which is which. That’s not a comfortable place to stand. It is, however, exactly where we are.

Categories
California Petroleum

The Last Tanker

There is a strange, quiet finality to the arrival of the New Corolla. It is a massive vessel, carrying two million barrels of crude—a literal, physical weight of energy—into the Port of Long Beach. It loaded up in Iraq on February 24th, just days before the world’s geopolitical plates shifted and the Strait of Hormuz effectively slammed shut.

By the time you read this, that oil will have been offloaded, refined, and moved into the capillaries of California’s infrastructure—into gas tanks, jet engines, and diesel generators.

And then, the silence begins.

California has long existed as an “energy island.” It is a geographic quirk that defines our modern life: we are disconnected from the domestic pipeline network that feeds the rest of the country. We don’t have the luxury of pulling from a pipeline in Texas or the Midwest. We are, by design, tethered to the horizon. We are dependent on the flow of tankers across the vast, deep blue of the Pacific.

For years, this worked. It was a invisible architecture of convenience. We consumed, and the tankers arrived with the metronomic precision of a clock. But the New Corolla is not just a delivery; it is a period at the end of a sentence. It represents the last of a supply chain that we assumed would be permanent.

When the analyst says, “all bets are off,” they aren’t just talking about prices at the pump or the logistical scrambling of refineries trying to source crude from Brazil or Guyana. They are describing the erosion of a certainty we didn’t realize we relied on. We have built a state—a massive, humming, technological engine—on the assumption that the world is a frictionless marketplace.

The crisis is not just about the supply of oil; it is the realization that we are fragile.

We look at our inventories, and we see them as a buffer. We are told they are “healthy,” but inventories are, by definition, a countdown. They are the water left in the glass after the tap has been turned off. We are now in the uncomfortable, interim phase where the supply lines are empty, and the new ones haven’t yet been built—or perhaps, cannot be built.

It is easy to look at this and see a political or economic failure. It is harder to see it as a human one. We have become experts at consuming the distant, while remaining strangers to the mechanics of that consumption. We have lived in the architecture of the “global everything,” and now, as the walls of that architecture contract, we are forced to look at the geometry of our own isolation.

The New Corolla will depart for distant waters. It will leave behind a void, and in that void, we will find out if our resilience is as robust as our rhetoric.

The future is only guaranteed for those who can afford to survive the present.

And for now, the present is a question of how much gasoline is left in the tank, how much jet fuel is available and how quickly we can learn to walk on our own.

Categories
Living Serendipity

Why Comfort Zones Block Serendipity and Growth

Barista preparing coffee with customers sitting and chatting in a cozy café
Customers enjoy coffee and pastries in a warm, inviting café

Serendipity used to be the default setting of my days, but recently I find myself having a quiet, losing negotiation with the front doorknob every time I try to step outside. There is a specific, invisible weight to the handle on a quiet evening—a subtle, undeniable gravitational pull that recommends I simply stay inside. My favorite reading chair feels less like comfort these days and more like an anchor.

I have been writing in this space since 2001. If you look back through the archives of my life—both the digital ones and the memories filed away in my head—you will find a younger version of myself who frequently and willingly threw himself into the unknown. Back then, I assumed serendipity would always just be there, waiting for me to stumble into it on a diverted commute or during a late, unplanned dinner.

Lately, I’ve noticed a subtle shift. As I’ve gotten older, my comfort zone has hardened from a permeable boundary into a brick wall. The things that once sparked a quiet thrill of spontaneity—a sudden change of travel plans, an unfamiliar route home, saying yes to an event where I know absolutely no one—now often trigger a low-grade exhaustion before they even begin. I find myself pre-calculating the energy cost of every deviation from the routine. I weigh the known comfort of my home against the unpredictable variables of the outside world, and the home usually wins.

But I have been sitting with a growing realization lately: when we meticulously optimize our lives for comfort, we inadvertently foreclose on serendipity.

Serendipity requires a loose grip. It demands a willingness to be occasionally inconvenienced. You cannot schedule a chance encounter, and you cannot algorithmically generate a moment of sudden, blinding clarity. Those things only happen in the messy, unmapped spaces between our planned destinations. They live in the friction of the unexpected.

I often think about the writers and thinkers who deliver sentences with such compression and weight. Their most profound insights didn’t arrive because they stayed perfectly insulated from the world. They arrived because they allowed themselves to be interrupted by it.

I am trying to learn how to open the door again. It doesn’t mean manufacturing chaos or pretending I have the boundless, restless energy of my thirties. Acknowledging my own changing capacity (especially physically) is necessary, but using it as an excuse to stop exploring is a mistake.

Overcoming this gravity means making a conscious, deliberate choice to leave the itinerary blank for an afternoon. It means taking the long way home, even when the usual route is faster. It means accepting that the discomfort of stepping outside the routine is the unlock to open a new experience.

The architecture of a well-lived life isn’t built out of safety. The most interesting rooms are the ones we never intended to enter but just happened into.

Categories
Living Planning Serendipity

The Architecture of Surprise

We humans are endlessly obsessed with the horizon. We stand on the shores of the present, squinting into the distance, trying to discern the exact shape of tomorrow. We build elaborate models, draw flawless trendlines, and construct five-year plans with the meticulous care of a master architect drafting a blueprint. And, to our credit, most of the time we are remarkably accurate about the mundane trajectory of it all. We know when the seasons will change, how our compound interest should accumulate, and roughly where our careers might lead if we just keep putting one foot in front of the other.

“We are very good at predicting the future, except for the surprises—which tend to be all that matter.”
— Morgan Housel, Same as Ever

It is a profound truth wrapped in a deceptively simple observation.

When we look back at the grand sweep of history—or simply the quiet narrative of our own individual lives—the defining moments are almost never the ones we carefully penciled into our calendars.

The things that irrevocably alter our trajectories are the sudden shocks, the absolute anomalies, the unexpected phone calls on a random Tuesday afternoon.

Think about the turning points of the last decade. The events that completely rewired our global society, our economies, and our daily habits were not predicted by think tanks, algorithms, or pundits. They were the blank spaces on the map. They were the surprises.

On a personal level, I find this resonates with almost uncomfortable accuracy. If I examine the hinges upon which my own life has swung, they were completely invisible to me until the exact moment I arrived at them. The chance encounter in a crowded room that led to a lifelong bond; the sudden, jarring loss that forced a complete re-evaluation of my priorities; the seemingly disastrous failure that ended up opening a door I hadn’t even known existed. I have spent so much of my life optimizing the straight lines, unaware that life itself is actually lived in the zig-zags.

We suffer from a collective illusion of control. We desperately want to believe that by accumulating enough data, we can permanently banish uncertainty.

But data is simply a record of what has already happened; it cannot account for the unprecedented. It cannot measure a sudden shift in human psychology, a freak accident, or the spontaneous spark of a revolutionary idea.

The surprises are all that matter because they force adaptation. They break the fragile mold of our expectations. They are the crucibles in which our real, unvarnished growth occurs.

When the predictable happens, we just keep sleepwalking down the path. It is only when the unexpected strikes that we are forced to wake up, look around, and decide who we actually need to become.

This shouldn’t be a cause for despair, nor is it a valid excuse to abandon planning altogether. Dwight D. Eisenhower captured this paradox perfectly when he noted:

“In preparing for battle I have always found that plans are useless, but planning is indispensable.”

The written plan itself—the rigid timeline, the expected outcomes—might shatter upon impact with reality. But the act of planning? That is essential. It forces us to take inventory of our resources, establishes a baseline direction, and builds mental agility. The danger doesn’t lie in the act of preparing, but in attaching our ultimate peace of mind to the exact realization of a fragile script.

Perhaps the most rational way to face the future is with a sense of prepared humility. We can plot our course, pack our provisions, and meticulously check the compass.

But we must also accept that a sudden, unforecasted storm might blow us onto an entirely different continent. And when we finally wash ashore on that strange new land, exhausted and disoriented, we might just find that it is exactly where we were meant to be all along. Seek serendipity.

Categories
Living Serendipity

The Architecture of the Unexpected

We spend an incredible amount of energy trying to build a ceiling over our lives, a structure made of spreadsheets, five-year plans, and trend forecasts. We convince ourselves that if we just gather enough data, the future will become a navigable map. But Morgan Housel, in Same as Ever, cuts through this illusion with a quiet, devastating observation:

“We are very good at predicting the future, except for the surprises—which tend to be all that matter.”

It is a humbling thought. We can predict the mundane with startling accuracy—the seasons, the commute, the steady inflation of a currency. But the events that actually shift the trajectory of a life, a business, or a civilization are precisely the ones that no model accounted for. We are experts at forecasting the rain, yet we are consistently blindsided by the flood.

This reveals a profound tension in the human experience. We crave certainty because certainty feels like safety. We want to believe that the “tail events”—those low-probability, high-impact occurrences—are outliers we can ignore. In reality, history isn’t a steady climb; it’s a series of long plateaus punctuated by sudden, violent leaps.

The problem isn’t that our models are broken; it’s that we are looking at the wrong thing. Instead of seeking total foresight, we must prioritize serendipity and resilience. If the future is defined by surprises, then the most valuable asset isn’t a better crystal ball—it’s a wider margin of safety.

We must learn to live with the paradox: we must plan for a future that we know, deep down, will not go according to plan. The surprises aren’t just interruptions to the story; they are the story.

Looking back at the last decade of your life, what was the single ‘surprise’ event that defined your path more than any plan you ever made?

Categories
Probabilities

The Fiction of Certainty

There is a profound discomfort in the space between zero and one.

In her book Spies, Lies, and Algorithms, Amy B. Zegart notes a fundamental flaw in our cognitive architecture:

“Humans are atrocious at understanding probabilities.”

It is a sharp, unsparing observation, but it is not an insult. It is an evolutionary receipt. We are atrocious at probabilities because we were designed for causality, not calculus. On the savanna, if you heard a rustle in the tall grass, you didn’t perform a Bayesian analysis to determine the statistical likelihood of a lion versus the wind. You ran. The cost of a false positive was a wasted sprint; the cost of a false negative was death.

We are the descendants of the paranoid pattern-seekers. We survived because we treated possibilities as certainties.

The Binary Trap

Today, this ancient wiring misfires. We live in a world governed by complex systems, subtle variables, and sliding scales of risk. Yet, our brains still crave the binary. We want “Safe” or “Dangerous.” We want “Guilty” or “Innocent.” We want “It will rain” or “It will be sunny.”

When a meteorologist says there is a 30% chance of rain, and it rains, we scream that they were wrong. We feel betrayed. We forget that 30% is a very real number; it means that in three out of ten parallel universes, you got wet. We just happened to occupy one of the three.

Zegart operates in the world of intelligence—a misty domain of “moderate confidence” and “low likelihood assessments.” In that world, failing to grasp probability leads to catastrophic policy failures. But in our personal lives, it leads to a different kind of failure: the inability to find peace in uncertainty.

Stories > Statistics

We tell ourselves stories to bridge the gap. We prefer a terrifying narrative with a clear cause to a benign reality based on random chance. Stories have arcs; statistics have variance. Stories have heroes and villains; probabilities only have outcomes.

To accept that we are bad at probability is an act of intellectual humility. It forces us to pause when we feel that rush of certainty. It asks us to look at the rustling grass and admit, “I don’t know what that is,” and be okay with sitting in that discomfort.

We may never be good at understanding probabilities—our biology fights against it—but we can get better at forgiving the universe for being random.

Categories
Inspiration Living Serendipity

The Moment Everything Became Optional

There’s something beautiful about watching someone fall in love. Whether it’s with a person, an idea, or a pattern hidden in the fabric of the world, that moment of irreversible fascination changes everything. For Nassim Nicholas Taleb, sitting in a classroom at Wharton, the object of affection was a financial instrument that would ultimately reshape his entire worldview: the option.

“Taleb first learned about options at Wharton, and he fell irreversibly in love with them. He realized options had a curious trait—they were nonlinear.”

That single sentence contains the DNA of an entire intellectual revolution. But to understand its power, we need to unpack what Taleb saw—because it wasn’t just a way to make money. It was a way to understand life itself.

The Asymmetry Secret

A financial option is deceptively simple: it’s the right, but not the obligation, to buy or sell something at a predetermined price. For this right, you pay a small premium. If things go your way, you profit disproportionately. If they don’t, you only lose the premium.

This is where the nonlinearity lives. Linear relationships are predictable: work an extra hour, get an extra hour’s pay. Put in $100, get back $102. Nonlinear relationships are different beasts entirely. They’re the lottery ticket that costs a dollar but could return millions. The insurance policy that protects against ruin. The startup equity that could go to zero—or transform your life.

Taleb’s genius was recognizing that this wasn’t just a financial trick; it was a fundamental principle that nature herself had been using for millennia. Evolution is nonlinear. Trial and error is nonlinear. Every major breakthrough in human history has been the result of some version of optionality: small, bounded downside with an unbounded, open-ended upside.

The Philosophy of Maybe

What makes options so seductive is how they invert our relationship with uncertainty. Most of us fear not knowing what’s next. We build careers, relationships, and worldviews that prioritize predictability. We try to forecast, plan, and control.

Options do the opposite. They thrive on uncertainty. The more volatile and unpredictable a situation, the more valuable the option becomes. While everyone else is trying to predict the future, the option-holder simply needs to position themselves to benefit from any future.

This insight became the cornerstone of Taleb’s later work. The Black Swan warned us about unpredictable events with massive consequences. Antifragile took it further, arguing that we shouldn’t just survive volatility—we should build systems that gain from it. The secret to antifragility? Optionality. Lots and lots of small, distributed options.

Living the Optional Life

Taleb’s irreversible love affair points to something profound about how we might structure our own lives. We’re taught to make big bets: choose the right career, the right partner, the right house. We’re told to specialize early and commit fully. But this is the linear path—the path of predictable inputs and outputs.

The optional path looks different. It’s the programmer who maintains side projects that might become the next big thing. It’s the writer who publishes experimental essays while working on a conventional book. It’s the professional who keeps a broad network rather than a narrow expertise. In each case, the downside is limited (time invested, opportunity cost) while the upside remains unknown—and potentially life-changing.

This isn’t about being noncommittal or afraid of depth. It’s about strategic diversification of opportunity. Taleb himself embodies this: trader, philosopher, statistician, essayist. Each identity is an option, a way to capture value from different domains without being trapped by any single one.

The Curious Trait That Changes Everything

Nonlinearity is everywhere once you know to look for it. A single introduction at a party could lead to your life’s most important relationship. Reading one random book could shift your entire intellectual trajectory. Saying yes to one uncomfortable invitation could open doors you didn’t know existed.

The key is to stop trying to predict which option will pay off and start accumulating them systematically. Take the coffee meeting. Send the cold email. Learn the seemingly useless skill. Write the blog post nobody might read. Each is a small premium with an asymmetric payoff.

Most will expire worthless. A few will change everything.

The Irreversibility of Seeing

What makes Taleb’s love affair “irreversible” is that once you see the world through the lens of optionality, you can’t unsee it. The linear narrative of career ladders and five-year plans begins to look not just outdated but fragile. The obsession with planning and prediction starts to seem like a collective delusion.

You begin to notice how much of life is already optional, if only we recognize it. Every skill you learn is an option on future opportunities. Every genuine connection you make is an option on collaboration. Every time you preserve your freedom instead of cashing it in for immediate rewards, you’re buying an option on a more interesting future.

Perhaps the ultimate option—the meta-option—is the decision to fall in love with optionality itself. To commit to non-commitment. To build a life where the premium you pay is measured in curiosity, flexibility, and the willingness to look foolish most of the time in exchange for being right when it matters.

Taleb’s revelation in that Wharton classroom wasn’t about finance. It was about freedom. The freedom to benefit from a world we cannot predict. The freedom to be wrong almost all the time yet still win. The freedom to fall in love with possibility itself.

Once you understand this, there’s no going back. The linear world dissolves, and everything becomes optional.

Note: my Readwise feed contained this quotation from Scott Patterson’s book Chaos Kings – a book I very much enjoyed. Sometimes, when one of my Readwise highlights really strikes a chord with me, I will wander off into AI land and play with various chatbots asking for them to take the highlight and write a longer musing triggered by what’s being said. This morning I spent quite a bit of time exploring this one and really enjoyed reading some of the chatbot responses. This particular one comes from one of the Chinese open weight models: Kimi K2. I’d read that K2 was a particularly good writer so I wanted to give it a whirl. I enjoyed reading what it created and wanted to remember it by posting it here in my blog and in my journal. My life’s motto has been “seek serendipity” which is related to a lot of Taleb’s thinking.