Have you ever misplaced an important document and felt less smart because of it?
Whether it is a computer file or a piece of paper, items that we have to invest time searching for limit our ability to make effective use of that information. Contrast this to files that are readily available at our fingertips or through an easy computer search. That information can be retrieved at a moment’s notice and is therefore much more useful. This distinction forms the basis of a new approach to understanding how we process information, known as boundary intelligence.
In a recent article on his website called Boundary Intelligence: Why What You Can Access Matters More Than What You Know, Tiago explores why boundary intelligence is a vital concept to understand, especially in the age of AI. He starts by referencing another writer, Venkatesh Rao.
Rao proposes a new definition of intelligence in the age of AI: intelligence is defined by what information can be accessed under constraints of cost, availability, and time.
The reality is that storage is now cheap. Computation is even cheaper. What’s expensive is short-term memory access – the ability to keep the relevant details “in mind” for a given problem.

You might think that the amazing computational power of AI would render this a meaningless problem. However, Tiago believes even the fastest computers run into trouble with deciding what information is important to keep close at hand.
Thus, a computer’s “intelligence” is now constrained not by the power of its processor, but by its ability to keep the right fragments of the past (and the imagined future) close enough to inform the present. In other words, the bottleneck of a system’s intelligence is how cheaply it can remember.
If you look at how modern computers perform, you can see this principle at work. A CPU can perform billions of operations per second, but is often stuck waiting for the right information to arrive from memory. Storage is cheap and computing is abundant, but what remains tremendously expensive is getting the right data to the right place at the right time.
It’s not the price of knowing that limits intelligence now, but the price of remembering.
This brings Tiago to the definition of boundary intelligence.
Rao calls this “boundary intelligence” – the ability to make good decisions at the boundary about what information becomes “knowable” at any given time.
How does this end up working practice, whether it is a person or AI model? In the end, it often comes down to practicality.
They are not retrieving the ideal memory; they’re retrieving the affordable one. Intelligence in this view isn’t about optimizing across all known information, but optimizing for accessible information under constraints.
A deeper study of boundary intelligence leads Tiago to an interesting understanding. He believes intelligence is no longer about what one single person or computers knows or has in storage. Instead, it is about knowing where to get the information at in the right time, no matter if you are a person or an AI model.
This means that boundary intelligence is fundamentally social. It isn’t just about what to retrieve, but from where and from whom. You have to know who to trust, what information or resources they possess, on what terms you can acquire it, and what is expected of you in return.
How can one use the power of social intelligence to improve their boundary intelligence? Read the full article at the Forte Labs website to learn more.








