LLMs Predict Language. Humans Construct Meaning.
Large language models produce fluent language in seconds. Piaget helps explain why understanding still has to be constructed.
A social media post put Jean Piaget in front of me this week. I knew the name from education. I could not have said what a genetic epistemologist actually did.
So I asked. Then I kept asking. Somewhere in that conversation, a sentence appeared that I have not been able to put down:
LLMs predict language. Humans construct meaning.
I want to be honest about where that sentence came from. It emerged from an exchange with a machine, about a thinker I did not know, in a field I had not studied. The language arrived faster than I could absorb it: Piaget, constructivism, assimilation, accommodation, all within seconds.
I could have stopped there with a page of fluent text and the feeling that I had learned something.
The gap between language arriving and anything changing in me is the meaning lag.
Knowledge forms
Piaget spent much of his career asking how knowledge comes into being. That is close to the plain meaning of genetic epistemology: genetic in the sense of genesis or development, epistemology as the study of knowledge.
He studied how knowledge forms.
His answer was that we interpret new experience through structures we already possess. He called that assimilation. When experience will no longer fit, the structure itself has to change. He called that accommodation. Understanding develops through the movement between the two.
The example that stayed with me is a child who calls every four-legged animal a dog. Then a cat appears. The child can keep stretching the word, or reorganise the categories behind it. The new label matters less than the change in the structure underneath.
I was doing the same while writing this piece. Most of the process was assimilation: fitting Piaget into what I already believed. A smaller part was accommodation. That part was slower and less comfortable, and it is the reason this piece exists.
This sits close to a thread I have followed through Bildung: education as formation rather than the transfer of information. The traditions are different, but both direct attention towards what changes in the learner.
Meaning lag
Generating language has become cheap.
Constructing meaning has not.
That is the asymmetry. A model can explain, exemplify, translate and counter-argue, then do it again without tiring. The learner still has to connect the explanation to prior knowledge, notice where it conflicts, decide which distinctions matter, and revise their picture of the subject.
Knowledge is not downloaded. Knowledge is constructed.
An answer can be complete while my thinking remains exactly where it started. The meaning lag is not a defect in the tool. It is the shape of the work that is left.
I wrote last year that search is moving from finding towards understanding. I still think conversational systems help us stay with a subject. What I had to give up is the assumption that staying with a subject is the same as being changed by it. Assimilation would have let me keep the sentence intact.
Open questions
The first concerns the systems I help build.
A chatbot can answer every question smoothly and still be a poor learning environment. A plausible answer can end the exchange instead of opening it. What would it take to build a system that invites someone to formulate, test, compare and revise?
Something I noticed while working with schools: the questions people type often arrive at the moment their existing understanding stops covering the situation. That is close to the boundary Piaget was describing.
I can see the friction. I cannot yet see whether anything reorganised afterwards.
The second concerns evidence.
Education has long treated written production as proof that the intellectual work happened. That proxy is weakening. I find myself less interested in whether someone used AI than in what changed in their understanding.
I cannot yet say what reliable evidence of that change looks like. Revision, explanation, judgement, the ability to notice when a convincing answer rests on a weak idea: all seem relevant. None is sufficient on its own.
Patience
I wrote once that not doing is also an act. Slowing down is not falling behind. At the time it was a working habit, a way of surviving abundance.
Piaget gives it a reason. The delay is not a preference. It is the time it takes for a structure to change.
Language can be generated almost instantly. Understanding still takes time.
The model can finish the sentence.
The learner still has to change.