Continuing to work on https://www.hackernews.coffee/ to rerank the HN frontpage based on my interests, not just what's trending.

It does this by building a profile out of a small number of selected past articles, and we make the profile and how it produces recs from the profile transparent and editable. Especially after feedback on HN (https://news.ycombinator.com/item?id=44454305), Im trying to get to grips with why people seem to care as much about seeing how their recommendations work as they do about the actual quality of recommendations themselves.

I'm increasingly convinced its due to how many opaque LLM-powered everything and black-box recommendation algorithms there are. People want personal content systems (they are useful for sure!), but theres a lack of ones where they stay in control of what 'personal' actually looks like.