Latest Posts
The Death of Local Cache: How Frictionless Tech is Eroding Our Mental Hardware
TL;DR: We used to store phone numbers, spatial maps, and spelling rules in our own “local cache.” Today, smartphones and AI allow us to offload…
The Architecture of Letting Go: Why We Hoard Tools, Tasks, and Clutches
TL;DR: The instinct to hoard obsolete cables and duplicate tools in your garage is driven by the same cognitive biases that make you hold onto…
The 6-Inch System Failure: A Lesson in Root-Cause Analysis
TL;DR: When a sudden onset of blurry vision and neck pain hit me at my desk, my immediate assumption was a hardware failure: my three-year-old…
The IA/EA Split: Mapping the AI Substrate Across Daily Life
TL;DR: AI is not replacing human effort uniformly; it is splitting it into two distinct vectors. The Intellectual-Aspect (IA)—logic, data, and routine problem-solving—is rapidly becoming…
48% of What? The Engineering Flaw Behind Viral Economic Narratives
Every few weeks, an authoritative graphic makes the rounds on business social networks with a headline designed to provoke anxiety: “48% of Gen Z rely…
Debugging the Wetware: Why Hardware Engineers Must Study Behavioral Psychology
TL;DR: Hardware engineering and behavioral psychology are two sides of the same discipline: modeling complex, resource-constrained systems under noisy conditions. Cognitive biases are not random…
The Certification Firewall: Why a “Completed State” Mindset is Fatal to Growth
Recently, I offered some pro-bono mentoring to a professional whose consulting practice was struggling to get off the ground. They had the proper certifications and…
The Software-Defined Fallacy: Is the Car Becoming a “Generic Computing Box”?
I recently had a fascinating exchange on LinkedIn with an investor and researcher, whom we’ll call “R” who has been following the meteoric rise of…
The Proposal Protocol: Diagnosing the Human “System Reject”
In engineering, we spend thousands of hours hardening our silicon and perfecting our code. But the most critical failure point in any project isn’t the…
Faulty Inputs, Faulty Outputs: Diagnosing Cognitive Bias as a Systemic AI Failure
We often conceptualize Artificial Intelligence, specifically Large Language Models (LLMs), as perfect “math machines”—neutral, logical arbiters of pure data. We assume that if you feed…