feed-recommend

You can aggregate multiple content streams into a single ranked feed by using a plugin-based recommender that fetches articles from sources like Hacker News, arXiv, and LessWrong, then scores them against a user profile. It applies cross-source deduplication to prevent duplicate entries.

Yes, you can add a custom content source by dropping a small Python plugin module into the sources directory. This extends the feed recommender to fetch and score new content streams alongside existing sources.

The scoring pipeline ranks feed items by evaluating fetched articles against a defined user interest profile. It leverages this profile to filter and order content, producing a unified feed tailored to specific research topics like AI alignment.

The best way to monitor AI alignment literature is to use a unified feed recommender that consolidates streams from Hacker News, Alignment Forum, LessWrong, and arXiv. It scores items against your interest profile and learns from feedback to improve relevance.

Yes, you need Python installed to run the plugin-based feed recommender. Each content source operates as a Python module, and the scoring pipeline requires a Python environment to fetch, deduplicate, and rank feed items.