A computer will do what you tell it to do, but that may be much different from what you had in mind. — David Wheeler

A computer will do what you tell it to do, but that may be much different from what you had in mind.

Author: David Wheeler

Insight: We live with this exact frustration almost daily now. You ask your phone for directions and it takes you on a technically correct but wildly impractical route. You set up an automation and it executes your instructions with robotic precision, creating chaos you never anticipated. The problem isn't that the computer failed—it's that we're often lousy at translating what we actually want into explicit steps. This gap between intention and instruction reveals something about how we think. Our minds work in fuzzy patterns and shortcuts. We say "organize my photos" but we mean something different than what we'd mean if we had to specify: by date? by location? by how much we like them? By the time we've made all those choices explicit enough for a machine to follow, we realize our original request was half-formed. The computer doesn't fail us; it exposes how imprecise our own thinking actually is. The real insight is that this isn't just about technology. Anytime you give someone clear instructions, delegate a task at work, or write a recipe, you're discovering that what seems obvious in your head rarely translates perfectly. The computer is just honest about the gap. It doesn't fill in the blanks with common sense or good intentions the way humans do. That's both its limitation and its strange gift—it shows us exactly where we need to think more carefully.

The Gap Between Want and Tell

A computer will do what you tell it to do, but that may be much different from what you had in mind.

We live with this exact frustration almost daily now. You ask your phone for directions and it takes you on a technically correct but wildly impractical route. You set up an automation and it executes your instructions with robotic precision, creating chaos you never anticipated. The problem isn't that the computer failed—it's that we're often lousy at translating what we actually want into explicit steps.

This gap between intention and instruction reveals something about how we think. Our minds work in fuzzy patterns and shortcuts. We say "organize my photos" but we mean something different than what we'd mean if we had to specify: by date? by location? by how much we like them? By the time we've made all those choices explicit enough for a machine to follow, we realize our original request was half-formed. The computer doesn't fail us; it exposes how imprecise our own thinking actually is.

The real insight is that this isn't just about technology. Anytime you give someone clear instructions, delegate a task at work, or write a recipe, you're discovering that what seems obvious in your head rarely translates perfectly. The computer is just honest about the gap. It doesn't fill in the blanks with common sense or good intentions the way humans do. That's both its limitation and its strange gift—it shows us exactly where we need to think more carefully.

AI generated

Comments

Sign in to leave a comment or reply to one.

Sign in

David Wheeler

David Wheeler was a British computer scientist known for his pioneering work in the field of computer science. He is credited for his contributions to the development of the EDSAC computer and for introducing the concept of the subroutine in programming. Wheeler was a prominent figure in the early days of computing and made significant advancements in the field during his career.

Graph

Related