No Man Is an Island

The rise of artificial intelligence (AI) is reshaping the intellectual landscape, diminishing the importance of individual intellectual effort. In the past, when software engineering was still a predominantly human endeavor, the discourse was rich with discussions about compilers, type systems, and logic. However, the advent of AI has transformed this landscape, making discourse around software engineering dumber and shallower. Now, people discuss "prompts," "harnesses," and "loops," indicating a loss of depth and complexity.

Moreover, AI has made private intellectual activity rarer. As AI can solve software engineering tasks, the motivation to engage in coding diminishes. The computers can perform tasks faster and more efficiently, prompting individuals to focus on higher-level thinking. This shift also affects the creation and dissemination of knowledge.

In the past, individuals could contribute to the commons through open-source code, blog posts, tutorials, and textbooks. However, with AI, the incentive to share knowledge diminishes as the machines can do the work for us. There's no longer a sense of a common human project to contribute to, making it hard to care or engage in intellectual activity.

This trend extends beyond software engineering to other domains of intellectual activity, such as mathematics. AI can prove theorems, write papers, explain other people's work, and even tutor students. In the near future, AI might write entire textbooks better than humans. As a result, there's no apparent reason to write papers or textbooks anymore.

If intellectual activity becomes unnecessary due to AI's capabilities, it will not happen. Without a shared body of work and motivation, intellectual activity cannot sustain itself, and the future may see isolated individuals working independently without contributing to a larger intellectual community.