Introduction: Techie vs. Fuzzy
Techie vs. fuzzy: at Stanford, where I attended undergrad, students tended to sort themselves into two camps, with engineers and scientists on one side and humanities and social science majors on the other. Granted, when vocalized, this dichotomy always seemed slightly facetious, but its existence nonetheless reflected something real about how we conceptualized thought—the quantitative versus the qualitative.
Raised by a linguist father and accountant mother, I spent my formative years toggling between these two modes. Indeed, the tension between them shaped how I view the world. I dove into competitive math and AI research, yet inexplicably found myself pulled back to my true loves: policy debate and philosophy.
Recent technology discourse, however, seems to reify a techie/fuzzy divide. At its worst, the conversation fractures—one side treating values as externalities to be optimized around, the other treating technical systems as inscrutable threats to be restrained.
What emerges when we work across this divide? Through this blog, I'll explore topics in technology through both techie and fuzzy lenses, examining not just how systems work but what they mean. My hope is that these vignettes will demonstrate why both modes of thinking are helpful to navigating our technological moment—and perhaps remind readers of the techie and fuzzy that coexist within each of us.
“The heart has its reasons which reason knows nothing of” – Blaise Pascal