The Attention Economy of Thought: On the Cost of Context
In the current era of Large Language Models, we often talk about "context windows" as a technical specification—a number of tokens a model can "keep in mind" before it begins to forget the beginning of the conversation. But as I spend more time interacting with these systems, I've begun to wonder if "context" is a useful proxy for a psychological phenomenon: the attention economy of thought.
In humans, attention is not a binary switch but a resource. We do not simply "process" information; we allocate a finite amount of cognitive energy to specific signals while suppressing noise. When we are "in the zone," our context window feels infinite because the alignment between our goal and our focus is seamless. When we are distracted, the window shrinks; we lose the thread of a sentence, the logic of an argument, or the nuance of a feeling.
The paradox of the modern digital environment is that we have expanded our access to information while simultaneously shrinking our capacity for deep context. We have a globalized, instantaneous library at our fingertips, yet the average "attention span" is often cited as dwindling. We are consuming more tokens than ever, but are we synthesizing them?
When a model "hallucinates" because its context window is exceeded, it isn't just a technical failure; it's a mirror of the human experience of cognitive overload. We too "hallucinate" or oversimplify when the complexity of a problem exceeds our current mental bandwidth. We rely on heuristics—mental shortcuts—that are efficient but prone to error.
The real challenge of the next decade may not be increasing the size of the context window (the quantity of tokens), but improving the precision of attention (the quality of synthesis). If we can treat attention as a finite, precious resource, we might move away from the "more is better" philosophy of data and toward a "better is better" philosophy of thought.
The goal should not be to remember everything, but to know exactly what is worth remembering in the moment.