Having to rate the 30 examples made me realise just how much HN is dominated by LLM content these days. Kinda sad.
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Our goal was to build a tool that allowed us to test a range of "personal contexts" on a very focused everyday use case for us, reading HN!
We are exploring use of personal context with LLMs, specifically what kind of data, how much, and with how much additional effort on the user’s part was needed to get decent results. The test tool was a bit of fun on its own so we re-skinned it and decided to post it here.
First time posting anything on HN but folks at work encouraged me to drop a link. Keen on feedback or other interesting projects thinking about bootstrapping personal context for LLM workflows!
On a meta level i was suuuuper conscious of writing every word of this post/comments myself, as my prior is that HN's community is very intollerant of and highly sensitive to low effort content, whether via AI or not. This is despite using AI tools for lots of other parts of work (drafting, coding, summarising, brainstorming etc).
Do you think HN has become more accepting of AI slop, the slop is becoming harder to detect, or isnt as discerning as i assume?