Barely Knowing Anything: On Taste, Judgment, and Cognitive Elegance in the Age of AI

The clip above (Youtube Link) has become an internet meme used to mock out-of-touch executives (or PhD supervisors) who make consequential decisions without understanding or grasping the actual work involved. Rick Rubin, one of the most celebrated music producers in history, admits that he can barely play an instrument, cannot operate a soundboard, and knows nothing about music technically. The interviewer, visibly disbelieving, keeps pushing. What exactly is he being paid for?

“The confidence that I have in my taste,” Rubin answers, “and my ability to express what I feel.”

This answer sounds like the most sophisticated alibi for incompetence ever constructed. While I find it hilarious (the clip lives rent-free in my head), I’ve been recently realizing that it is also the most profound and prescient statement about the future of human cognition in the age of artificial intelligence.

Ingenium Is Dead. Long Live Elegantia.

We are living through a massive cognitive paradigm shift: the transition from an economy of generation to an economy of selection and curation. For the entirety of human history, the primary cognitive bottleneck was production. Writing an essay, coding a script, analyzing a dataset, painting an image: they all require substantial technical skill, sustained effort, and dedication. But artificial intelligence is driving the cost of solution (and even problem) generation to almost zero.

This is pushing the bottleneck for us humans elsewhere entirely. It is knowing whether that solution is actually any good. And harder still: knowing what the right problem was in the first place.

Cognitive Elegance

The skill that stands to become critical in this new landscape is something I want to call Cognitive Elegance. While the modern usage of elegance refers to something graceful or stylish, its Latin root, elegantia, actually derives from eligere (ex-: out) + legere (to gather, to read, to choose). Elegantia literally meant the faculty of choosing well: a blend of taste, clear vision, calibration, aesthetic sensitivity, and decisive judgment. The Romans paired it with ingenium: the creative genius. My argument is that the AI era is inverting their relative value. Ingenium is becoming cheap. Cognitive Elegance is becoming everything.

Cognitive Elegance is not expertise in any narrow domain. It is something more like a meta-faculty: the internalized capacity to sense quality, to distinguish signal from noise, to know with confidence when something is good; and to trust that judgment enough to act on it decisively.

A Problem for Education

From my work at the university, it is becoming painfully clear that Cognitive Elegance is precisely the skill most at risk in the current generation of students.

Faced with an infinite generative engine, the temptation is what Xu et al. (2025) have called cognitive agency surrender: the wholesale offloading of the intellectual process to an LLM, accepting its output without ever engaging an internal compass of quality. A striking recent study from MIT’s Media Lab (Kosmyna et al., 2025) provided neuroscientific evidence for this phenomenon: students who consistently used AI for writing tasks showed measurably “weaker brain connectivity” than those who wrote unaided, and 83% could not quote from essays they had just “written,” suggesting not just dependence, but a genuine dissolution of cognitive ownership.

And the problem might actually run deeper than blindly accepting flawed outputs. It is ceding navigation. When a student hands a question to a language model, they often surrender not just the answer but the shape of the problem itself, letting the model define what counts as a relevant question, which variables matter, and which direction to pursue. The result is not just mediocre output, but a systematically misdirected inquiry process, often leading to dead ends (students wasting hours arguing with their AI assistant, going down some rabbit hole because the initial problem was not correctly identified).

This is where Cognitive Elegance becomes existential. Without it, you cannot even recognize when you’ve been led astray.

Existing Shoulders to Stand On

Cognitive Elegance is not without precedent in the psychological and philosophical literature, though no single existing construct captures it in full.

Educational psychologists have made the most direct approach with the concept of evaluative judgment, defined by Tai et al. (2018) as “the capability to make decisions about the quality of work of oneself and others,” encompassing knowledge of what “good” looks like in a domain and the confidence to apply that standard to novel problems. This is the closest relative, but it was theorized within academic assessment contexts, not in the face of machine-generated ambiguity at scale. Metacognitive research contributes epistemic calibration, the alignment between how confident you are in a judgment and how accurate that judgment actually is. Aristotle’s moral psychology gives us phronesis (practical wisdom): the navigational capacity to identify the right problem before attempting to solve it.

Personality psychology highlights openness to aesthetic experience as a dispositional substrate that might enable this sensitivity in the first place. We must also consider the Need for Cognitive Closure (NFC), the dispositional desire for a firm answer and an aversion to ambiguity. A healthy tolerance for ambiguity, paired with the ability to decisively reach closure, is the very engine of clear vision. Broadening the scope, this touches upon aesthetic and moral judgment. In aesthetics, we call this “taste”: a formalized, internalized sensitivity to harmony and value. In moral psychology, it is moral reasoning. Cognitive Elegance unites these domains, acting as a generalized sensitivity to what is “right.”

Jung’s concept of Intuition adds a further dimension: not a vague feeling but a distinct perceptual mode that apprehends patterns and wholes directly, without deliberate analysis. This is the mechanism by which Cognitive Elegance often operates, surfacing as a gut feeling or an impression before it can be articulated. I believe it echoes the Sanskrit concept of Viveka, the faculty of discernment between the real and the illusory, signal and noise, that was considered the foundational intellectual virtue in Vedantic thought.

What Cognitive Elegance names is the integration of all these dimensions into a single operative capacity: one that is domain-general, hopefully trainable, and, as we are now discovering, alarmingly easy to atrophy.

What Education Must Now Confront

The critical question of modern education is no longer how to teach students to produce. It is whether the capacity for vision and clear selection can be actively cultivated, and whether our institutions are organized to do so. What we need, urgently, is to develop the capacity to measure Cognitive Elegance, and from there, to design pedagogical conditions that cultivate it.

Rick Rubin, pressed to justify his place in a recording studio, answered without embarrassment: confidence in his taste, and the ability to express it. He barely knows anything, except the one thing that matters: what is good and what is not. What I am not convinced of, however, is whether this ability is possible without a strong foundation of expertise. My gut feeling is that you cannot train Cognitive Elegance ex nihilo, without building up a substantial reservoir of domain-specific knowledge and experience to draw upon. But that is an empirical question, and one that we need to answer urgently.

References

• Kosmyna, N., et al. (2025). Your Brain on ChatGPT: Accumulation of Cognitive Debt when Using an AI Assistant for Essay Writing Task. arXiv:2506.08872 [preprint].
• Xu, et al. (2025). Cognitive Agency Surrender: Defending Epistemic Sovereignty via Scaffolded AI Friction. arXiv:2603.21735.
• Tai, J., Ajjawi, R., Boud, D., Dawson, P., & Panadero, E. (2018). Developing evaluative judgement: enabling students to make decisions about the quality of work. Higher Education, 76, 467–481.