LLMs are proof that Unix won
The author reflects on the enduring relevance of Unix-like operating systems in the era of Large Language Models. They argue that the self-efficacy and tinkering culture fostered by Linux align with the problem-solving nature of modern AI development.
Why it matters
It highlights the philosophical connection between open-source computing history and the current AI revolution.
When I first learned about Unix and "Unix-like" operating systems, I was intrigued. I had only known the colorful world of Windows 3.1 so far. Like Japanese carpentry , everything seemed to be carved out of one block with no apparent cracks (except that Japanese carpentry is rock solid, and the same cannot be said about Windows 3.1 with a straight face). Imagine my surprise when I sat in front of a command-line prompt for the first time. The blinking cursor dared me to enter something and there was, at first, no obvious way to achieve any of the things I already knew a computer could do. A formidable puzzle - I was hooked! Thanks to a surprisingly well-stocked library the next village over, I learned that there are different flavors or evolutionary cousins of Unix, and that some of their behavior is codified by standards like POSIX .
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