There was a time, not so long ago, when coding was regarded as among the most forward-looking skill sets. Is it still?
There's a convincing case to be made that coding is now a basic form of literacy—that a grasp of data structures, algorithms, and programming languages is as crucial as reading and writing when it comes to understanding the larger ideologies in which we are enmeshed. It's natural, of course, to distrust the dilettante. But this limbo of expertise might also be seen as a discipline in humility.
Ultimately, this knowledge has the potential to inoculate us against fatalism. Those who understand how a program is built and why are less likely to accept its design as inevitable. You spoke of a machine revolution, but it's worth mentioning that the most celebrated historical revolutions were the result of mass literacy combined with technological innovation.
The cadre of technologists who are currently weighing our most urgent ethical questions—about data justice, automation, and AI values—frequently stress the need for a larger public debate, but nuanced dialog is difficult when the general public lacks a fundamental knowledge of the technologies in question. As,” and the curious laity are increasingly forced to weed through esoteric reports on their inner workings—or take the explanations of experts on faith.
If Chiang's story is a parable about the importance of keeping humans “in the loop,” it also makes a subtle case for ensuring that the circle of knowledge is as large as possible. At a moment when AI is becoming more and more proficient in our languages, stunning us with its ability to read, write, and converse in a way that can feel plausibly human, the need for humans to understand the dialects of programming has become all the more urgent.
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