Towards AI Fluency: Learning to speak with AI.

Artificial Intelligence

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Navigating Tomorrow’s Technological Frontier

At the 2024 World Government Summit in Dubai, Nvidia CEO Jensen Huang sparked a discussion by asserting that teaching coding to individuals would become obsolete due to the impending dominance of AI in programming. According to Huang, languages like English would be sufficient for instructing AI to perform coding tasks efficiently.

While I agree that AI taking over coding responsibilities is undoubtedly on the horizon, a critical concern arises: does the general populace possess the requisite linguistic proficiency to convey nuanced instructions accurately to AI? Despite the potential of language-driven coding, the essential question lingers—do people truly grasp the subtleties of language necessary for flawless communication with AI?

The Process of Learning Programming

Learning programming fosters a deep understanding of the intricacies involved in bringing an idea to fruition through code. Programming involves undertaking painful iterations and through this process, a programer becomes experienced and attains a sense of clarity in defining scope of work and program objectives. In today’s landscape, the true value of acquiring programming skills lies not solely in the end product—the program itself—but rather in the cognitive process of understanding and articulating the subtle nuances of the desired manifestation.

Intricacies of Language

Ironically, as we contemplate the future of coding education, GMAC, responsible for the popular GMAT exam, has taken a surprising turn by eliminating sentence correction from its assessment. Sentence correction, an exercise that presented participants with choices such as the ones mentioned below, has been removed from the examination.

Choice 1: “He appreciates his job more than his brother.”

Choice 2: “He appreciates his job more than his brother does.”

Choice 3: “He appreciates his job more than his brother does his.”

These choices underscores the intricate nature of language and the potential for ambiguity that can arise. Consider the aforementioned sentence choices: the first suggests he appreciates his job more than he appreciates his brother. The second suggests a greater appreciation for the job compared to his brother’s appreciation for the job. The third suggests a greater appreciation for his job compared to his brother’s appreciation for his brother’s job. Such subtleties in language demand careful and meticulous understanding, highlighting the challenges inherent in instructing AI through language alone.

AI Fluency

In navigating the evolving landscape of coding education and the integration of AI, it becomes evident that the benefits of learning programming extend beyond the mere act of coding itself. The process enriches individuals with the cognitive abilities necessary to articulate and communicate intricate concepts—skills that are invaluable in a world where humans and AI collaborate on complex endeavors.

As we contemplate the future, it is the synergy between language, coding, and AI that will empower individuals to harness the true potential of this technological evolution. Those who invest time in understanding and practicing effective communication with AI will find themselves ahead of this complex and dynamic curve.