[ Sources ]
Feeds
Articles come from public RSS and Atom feeds provided by source organizations. The project favors official blogs, engineering posts, release notes and research updates over reposted summaries.
[ About ]
AI News Hub
AI News Hub collects articles, releases and research updates from RSS and Atom feeds published by major AI labs, model providers and infrastructure teams.
[ Updates ]
Hourly
The feed is designed to refresh hourly so new model releases, research notes, safety posts and infrastructure announcements can appear without manual curation.
[ Project ]
Open source
See the source repository on GitHub or visit the project archive.
AI News Hub exists because the most useful AI updates often live across many separate source sites. Model labs publish launch notes, research teams publish technical details, cloud providers publish implementation guidance and infrastructure companies publish performance or deployment updates. A single feed makes those changes easier to compare.
The site is intentionally source-led. It does not rewrite articles into synthetic summaries or hide the original publisher. Cards preserve the company, title, date, source link and available excerpt so readers can decide which announcements deserve a deeper read.
The project is maintained by Jonathan R Reed and Hello.World Consulting for builders, researchers and operators who track local AI, agent systems, retrieval, model releases, security guidance and platform changes.
[ FAQ ]
Details
Articles come from RSS and Atom feeds.
The feed updates hourly.
New sources can be added when they have a stable RSS or Atom feed.
Yes. The repository is available on the AI News Hub source repository.