About & method
Out of the Claudeset is an AI-focused reading room. It pulls headlines from across the spectrum — national tech press, the communities where practitioners actually talk, and local Baltimore reporting — into one clean, filterable feed, and pairs each story with two things most feeds hide: where the source is coming from, and how the story is framed.
Who runs this
The Claudeset is an independent project run by a small editorial team. We aggregate public feeds, label every source, and keep the discussion board civil. Original posts on our Reads page are written and reviewed by a human editor. We publish our method openly because transparency is the entire point of the product.
Where our sources come from
We aggregate via public RSS/Atom feeds. For each story we store and show only the headline, a short snippet, the source, and a link back to the original — we never republish full articles. If you want the whole piece, you click through to the publisher, which is exactly how syndication is meant to work and keeps the original outlet's traffic and rights intact.
Sources span four lenses you can filter by:
- News — established tech and general press with AI coverage.
- Platforms — community feeds (Reddit, Hacker News) where practitioners talk.
- Local — Baltimore-area reporting (and your own locale once you set it).
- Topics — first-party research and company blogs.
How we label bias & factuality
Every source carries a political lean (left → center → right, or mixed/n-a for community and first-party feeds) and a factuality rating. These are directional indicators synthesized from publicly available media-literacy assessments in the tradition of independent raters like Ad Fontes Media and Media Bias/Fact Check — not our own private verdicts, and not a claim of perfect objectivity. Tap any source name in the feed to see its full profile: lean, factuality, ownership, and where it's based. The goal isn't to tell you what to think — it's to make the frame visible so you can weigh it yourself.
Ratings are reviewed periodically and will never be perfect; if you think one is off, that's a fair thing to raise in the discussion board.
The bright-side filter (sentiment)
AI coverage skews toward two poles — breathless hype and existential doom — and constant negativity isn't the same thing as rigor. Each story gets a sentiment score (positive / neutral / critical), and a subset of genuinely constructive stories are flagged bright side. Toggle the lens when you want the optimistic, building-things frame; toggle "Critical" when you want the skeptics. It's a way to choose your emotional diet on purpose, not to hide the hard news.
A note on ads
This site is supported by advertising, shown on our own original pages — never layered on top of another publisher's copyrighted text. Aggregated headlines always link out to the source.