It does, because it allows for quickly sharing a prepared response instead of saying the same thing over and over. It also works because the kind of person this link gets sent to is already used to trusting random websites over their human interactions.
And if we don't (like me), I think it can be assumed that we can find out.
A basic search tells me they're both ways to speed up applications/projects through memory management and storing of the memory/data in RAM. So the person in the article is asking a co-worker their opinion on which tool they should use for optimization/performance in their project, which is why an LLM response is less helpful than his co-worker's actual thoughts: comparisons of technical tools at a high or feature level are pretty easy to find and the decision of which to use often boils down to project specific variables, so what the author is asking of the co-worker relies on the co-worker's knowledge of their specific project.
I could also probably explain this just fine to non-tech people. It wouldn't be the most complete or technically accurate explanation, but it would be fine.
Most people write based on their experience and culture.
I mean, they're not exactly obscure. And if you're curious you can just read the wikipedia pages (or ask a magic robot, I suppose, if you _must_). What universal example that everyone would know were you thinking of?
Couldn't they have used an example aimed at a broader audience?
I'm in IT but even I barely know what Redis or Memcached is about (never used either).