this post was submitted on 01 Apr 2025
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It's a great article, actually click through and read it if you haven't already.
The author's point is that natural language is a slow way to communicate, and it's not even our preferred way, so why are we pushing so hard for it?
One of the best productivity tools for me is my CLI shell, which predicts what I'm about to type based on what I've done in the past. There's no AI here, just simple history search. It turns out i do the same thing a lot.
The author argues that LLMs are an augmentation to existing tools, not a replacement. Just like the mouse didn't replace the keyboard (my example), LLMs won't replace existing workflows, it'll merely help in the knowledge retrieval stage.
This is where I partially disagree.
Yes, I think some level of AI makes sense at the OS layer, but its function should be to find the right tool, not to be a tool. For example, "open my budget" would know from context which file that is (family, company, client, etc), which program (GNUCash, Excel, or a URL in a browser), and then pass on context to the app-specific AI, which would know which part to open and be ready for context-relevant questions (is it payday? Was I just looking at concert tickets? Is someone's birthday coming up?).
But even then, the usefulness of a system-wide AI is pretty limited. Most people can efficiently navigate to what they want. Indexes work well to find files (and full text search is feasible), file extensions work well to open the right application, and applications remembering what they were last doing is usually sufficient.
So I see it as more of an accessibility feature at the system level instead of an actual, useful system in itself. However, I really like the idea of different models passing context in some standard way to each other so I can seamlessly move between apps.
But I absolutely agree with the main point here: AI should be seen as an add-on, not a replacement.