Philosophy, technology, and code—sometimes together, sometimes apart—through essays, blog posts, and projects exploring how ideas evolve.
Order from Chaos: What Randomness Teaches Us About Knowledge, Control, and Design
Published on April 25, 2026
In 300 BCE, Epicurus added a random swerve to the deterministic atoms of Democritus because a clockwork universe left no room for novelty or freedom. In 1814, Laplace imagined a demon who could predict everything if it knew the position and momentum of every particle. In the 1920s, quantum mechanics suggested that some events are irreducibly random, that no amount of information could predict them. For most of history, this was a debate among philosophers and physicists. Technology has turned it into an engineering question. We build systems that depend on randomness working, and the consequences of getting it wrong range from broken encryption to biased lotteries to unreliable infrastructure...
When Silence Speaks: The Philosophy of Absence of Evidence
In the realm of logic, epistemology, and scientific inquiry, few principles are as misunderstood—and misapplied—as the relationship between evidence and absence. The phrase 'absence of evidence is not evidence of absence' has become a philosophical cliché, often invoked to defend beliefs that lack...
Optimizing AWS DynamoDB Performance: From Table Scans to GSI Queries
While building a blog API that needed to retrieve the 5 most recent posts, we encountered a classic database performance problem: the inefficient table scan. What started as a simple requirement—"get the last 5 blog posts"—became a practical lesson in understanding data access patterns and the...
From Ideology to Infrastructure: How AI is Becoming a World-View
We are witnessing a profound shift in how artificial intelligence shapes not just our tools, but our fundamental understanding of reality itself. What began as computational algorithms has evolved into something far more significant: a new lens through which we interpret existence, knowledge, and...
The Original Trolley Problem: A Primer for the Digital Age
This is Part 1 of a 7-part series exploring how the classic trolley problem manifests in modern technology. Imagine you're standing by a railroad switch. A runaway trolley is hurtling down the tracks toward five people who will certainly die if it continues. You can pull a lever to divert the...
In 1670, French philosopher and mathematician Blaise Pascal proposed an argument that would echo through centuries: even if you're uncertain whether God exists, you should bet on belief. The reasoning was simple but profound. If God exists and you believe, you gain infinite reward (heaven). If God...
The Prisoner's Dilemma: When Rational Choices Lead to Collective Failure
In 1950, mathematicians Merrill Flood and Melvin Dresher at RAND Corporation created a game that would become one of the most studied problems in social science. Two prisoners, separated and unable to communicate, each face a choice: betray the other or stay silent. If both stay silent, they each...
The Unreasonable Effectiveness of Randomness in AI
Published on April 24, 2026
A neural network begins its life in chaos. Before any training occurs, the weights that connect its neurons are set to random values, typically drawn from a carefully calibrated distribution. The network, at this point, knows nothing. It produces random outputs for any input...
The Trolley Problem Has No Solution (And That's the Point)
Published on April 24, 2026
The trolley problem was introduced in 1967. Nearly sixty years later, philosophers have not solved it. Utilitarians say pull the lever: five lives outweigh one. Deontologists say it depends on whether you're using the one person as a means or merely foreseeing their death as a side effect...
Consensus in Chaos: How Randomness Holds Distributed Systems Together
Published on April 23, 2026
In the early 1970s, Bob Metcalfe and David Boggs were working on what would become Ethernet at Xerox PARC. They faced a problem that would become fundamental to networked computing: what happens when two devices try to send data at the same time on a shared wire? The signals collide, and both transmissions are corrupted. The obvious solution is to have each device wait and try again. But if both devices wait the same amount of time, they'll collide again. And again...
Can Machines Be Moral Patients? The Trolley Problem from the Algorithm's Side
Published on April 23, 2026
The trolley problem has always been about the people on the tracks. They are what philosophers call moral patients: beings whose wellbeing matters morally, beings to whom we owe something. The person at the lever is the moral agent, the one who acts. The people on the tracks are the ones acted upon...
Rolling the Dice a Million Times: Monte Carlo Methods and Decisions Under Uncertainty
Published on April 22, 2026
Sometime around 1946, the mathematician Stanislaw Ulam was recovering from an illness and playing solitaire. He tried to calculate the probability of winning a particular layout using combinatorial methods, the kind of exhaustive counting that mathematicians prefer. The numbers were intractable. There were too many possible arrangements, too many branching paths. So he tried something different...
The Moral Weight of Inaction: Is Not Deploying AI a Trolley Problem Too?
Published on April 22, 2026
In the classic trolley problem, the moral spotlight falls on the person at the lever. They pull it or they don't, and we debate whether their choice was justified. But there is a third figure in the scenario who receives far less scrutiny: a bystander standing nearby who sees the lever, understands the situation, and could act, but doesn't. Regardless of what the person at the lever decides, this bystander watches the scene unfold and walks away...
The Lottery Problem: When Is Random Actually Fair?
Published on April 21, 2026
On December 1, 1969, the United States held its first draft lottery since World War II. The Selective Service System placed 366 capsules, one for each possible birthday including February 29, into a large glass container. The capsules were drawn one at a time, and the order determined which young men would be called to serve in Vietnam. It was supposed to be the fairest possible method: pure chance, no human bias, no favoritism. Within weeks, statisticians noticed a problem...
Moral Luck: Should We Judge Algorithms by Their Decisions or Their Outcomes?
Published on April 21, 2026
Two drivers leave a bar after drinking too much. Both get behind the wheel. Both drive the same roads at the same speed with the same impaired judgment. One arrives home without incident...
Your Random Isn't Random: Pseudorandomness, Entropy, and Why Cryptography Depends on a Philosophical Problem
Published on April 20, 2026
In 2008, a security researcher named Luciano Bello noticed something strange about Debian Linux's implementation of OpenSSL. Two years earlier, a Debian maintainer had removed two lines of code that appeared to be using uninitialized memory, a common source of bugs. The fix looked reasonable. Static analysis tools had flagged the lines...
The Veil of Ignorance: Designing Algorithms You'd Accept from Any Position
Published on April 20, 2026
This is Part 2 of a 7-part series revisiting the trolley problem with deeper philosophical tools. In 1971, the philosopher John Rawls proposed a thought experiment that remains one of the most influential ideas in political philosophy. Imagine you are designing the rules of a society, but you don't know what position you'll occupy within it. You don't know whether you'll be rich or poor, healthy or sick, part of the majority or a marginalized minority. Behind this "veil of ignorance," Rawls argued, rational self-interest would lead you to design fair institutions, because you'd want to protect yourself in case you ended up in the worst-off position. Rawls called this starting point the "original position." It was meant to be a thought experiment about justice...
Every day, we publish essays that apply philosophical thinking to the technology shaping our lives. From the ethics of self-driving cars to the epistemology of deepfakes, from game theory in open-source software to ancient Greek wisdom about artificial intelligence—each piece connects timeless ideas to the questions that matter right now.
🚋 Trolley Problem
How impossible moral choices play out in AI hiring, content moderation, predictive policing, and medical algorithms.
Alongside philosophy, we share technical deep dives on cloud architecture, serverless deployment, database optimization, and image processing. We also build interactive games that bring philosophical concepts to life—from a Prisoner's Dilemma simulator to a Skepticism Scale quiz.
Have a topic you'd like us to explore? Whether it's a philosophical concept, a technology ethics question, or an idea that bridges both worlds, we'd love to hear from you. Get in touch and let us know what you're curious about.
