
When Fluency Masks Understanding: Lessons from Kota, Montreal, and Jakarta
From Indian exam centres to AI labs, a growing recognition that surface fluency and accumulated experience are not the same thing.
Walk into any coaching centre in Kota, Hyderabad, or Patna today and something becomes immediately apparent. The rooms are fuller than ever. The timetables are more punishing. The mock tests start earlier in the preparation cycle, and the students are younger than they were even five years ago. Everything about the ecosystem signals greater effort, more investment, higher stakes. And yet, for most aspirants, the results have not kept pace with the preparation. The most common response to a difficult exam is to study longer: more hours at the desk, more chapters covered, more mock tests attempted. It is an instinct that makes complete sense and produces, with remarkable consistency, diminishing returns.
Educators across India’s competitive-exam hubs observe a pattern that neuroscientists in Montreal and Baltimore would recognise immediately. Students chase content, mistaking familiarity for command, a distinction that holds up perfectly well until the exam introduces an unfamiliar application of a familiar idea. The gap between having encountered something and actually understanding it becomes impossible to ignore. This is not merely a pedagogical concern. A new paper from the Université de Montréal and Johns Hopkins University warns of a parallel danger in artificial intelligence: the illusion of consciousness. The researchers point to blindsight, a neurological phenomenon in which a person with damage to the primary visual cortex can respond accurately to visual information without any conscious experience of seeing it. Current AI systems, they argue, exhibit a similar dissociation—fluent, empathetic speech that tricks users into assuming an inner life, when in fact there is only processing without awareness. The paper’s authors caution that as chatbots become more emotionally sensitive, the easier it becomes to forget they feel nothing.
The confusion between surface performance and deep capability is not confined to exam halls or AI labs. Viewed from Jakarta, the rapid rise of social commerce in Indonesia is reshaping what it means to be a skilled digital worker. Marketplace platforms that once dominated e-commerce are being displaced by TikTok, Instagram, and WhatsApp, where purchasing decisions emerge from trust built through consistent digital interaction, not from price comparisons alone. Business educators at Indonesian digital universities note that the talent now required must integrate technology, creativity, data analysis, and an understanding of human behaviour—a far cry from mastering a single transactional skill. The same institutions are redesigning curricula around entrepreneurship, pushing students to create opportunities rather than wait for them, because the half-life of any isolated competence is shrinking. Meanwhile, career consultants in São Paulo point to demographic data showing Brazil’s population ageing fast enough that by 2030 the elderly will outnumber children. Professionals there are being told to prepare for careers spanning four or five decades, with constant reskilling, because the 39 percent of current skills that the World Economic Forum expects to change by 2030 will not wait for a single retirement date.
What links these disparate scenes is a quiet redefinition of intelligence itself. A recent essay in the Ghanaian business press argues that intelligence is not a measurable attribute but a process: accumulated experience in motion, the mechanism through which lessons persist and remain accessible when circumstances demand them. Continuity, not individual brilliance, is what allows a child to inherit mathematics, an engineer to build on electricity, a physician to avoid repeating centuries of trial. When experience is lost—through employee turnover, institutional decay, or the collapse of civilisations—intelligence evaporates. The central challenge, from this perspective, is not learning but preserving experience in a form that remains useful. The students who perform consistently well in high-stakes examinations, Indian educators note, are rarely the ones who studied the most material. They are the ones who returned to the same material most often, building the kind of automatic recall that only repeated, spaced engagement can produce.
In a Montreal laboratory, a person with blindsight sits before a screen, correctly guessing the direction of a moving object they insist they cannot see. The information is processed, the response is accurate, but there is no conscious experience. It is a lasting image for a moment in which fluency is abundant and mastery is scarce, a reminder that responding convincingly is not the same as understanding.
| Sub-Saharan African press | 0.00 | neutral |
|---|---|---|
| Southeast Asian press | +0.40 | aligned |
| Atlantic / Anglosphere press | −0.50 | critical |
| Indian & South Asian press | −0.20 | neutral |
Intelligence is not a measurable attribute but a process by which accumulated experience becomes available to shape the future. This view, rooted in an African philosophical perspective, calls for a fundamental rethinking of what intelligence means.
In Indonesia, intelligence is expressed through the ability to adapt to digital market shifts, moving from traditional marketplaces to social commerce. Universities are urged to produce not just job seekers but entrepreneurs ready to seize digital economy opportunities.
Experts warn against mistaking artificial intelligence for genuine consciousness. Chatbots may appear fluent and empathetic, but ascribing real awareness to them would be a fundamental mistake with potentially dangerous consequences.
In India, the competitive exam preparation system is showing its limits: more study hours no longer guarantee success. A new approach is needed, moving beyond rote memorization toward adaptive, intelligent learning strategies.
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