Only ~15% of the stories on HN are interesting to me. It's a little higher on lobste.rs and subject-specific subreddits, but still <50%.
Is it worth building an ML based RSS reader/aggregator? This seems like a classic classification problem, but I worry about filter bubbles.
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Is there a programming equivalent of the strawberry problem, i.e. a specific coding task that LLMs are consistently bad at?
Designing UIs is such a hard problem.
Sometimes I try a bunch of options and I settle on "this one seems the least annoying".
Today I learnt that Emacs 28 shipped a context-menu-mode! https://oylenshpeegul.gitlab.io/blog/posts/20230129/
This seems quintessentially Emacs: deeply hackable, but building UI features in an order very different to the mainstream.