How Linus Torvalds might approach Computer Science
So, "Computer Science." People throw this term around like it's some kind of grand, abstract discipline. Look, it’s not rocket science. It's about making computers do useful things, efficiently and reliably. It's about understanding how to break down problems into steps that a machine can follow, and how to do that without making a complete mess of things.
What's the point of all these fancy theories if the code is slow, or worse, crashes? I don't care about elegant proofs of concept if they don't actually run. Show me the code. Show me it *works*. Show me it's not going to bring down someone's server when they actually need it.
The real "science" is in the plumbing. It’s in understanding how the bits and bytes actually move, how the processor cycles are spent, how memory is managed. It's about practical engineering, about wrestling with the hardware and the inevitable limitations. It’s about iterating, testing, and fixing what's broken. There's no magic here. It's just engineering, done well.
Some people get lost in the clouds, dreaming up theoretical constructs. That’s fine for them, I guess. But when it comes to actual software that people use, that powers the world, you need to be grounded. You need to focus on what’s tangible, what’s measurable. Performance. Stability. Readability of the code. That's the real stuff. The rest is just noise.
Imagined perspective — an AI synthesis grounded in Linus Torvalds’s recorded ideas and methods, not a quotation or a statement they actually made.