AI Round-up is a curated briefing on the most important AI news, launches, research, and community reaction, drawn from news sites, X, YouTube, and Reddit.
Saved snapshots
Each round-up is tied to a saved source snapshot for a specific UTC reporting window.
Fresh stories
Only genuinely new items make it through dedupe before publication.
Shortlists
Published pages keep up to 10 fresh items in each section.
Extra formats
Every published page also has JSON and Markdown versions for reuse.
The aim is not to list every AI headline. Each round-up picks out the stories most worth your time in a given window: major announcements, meaningful research, notable product moves, and community reaction when it adds useful context.
Official company and lab sources carry the most weight, but strong commentary and discussion still make the cut when they help explain why a launch, incident, or argument matters.
Stories are collected into a saved snapshot, then summarised from that snapshot alone. Each page gets a fresh summary, a short label for the main story, topic tags, and the final section lists you see on the site.
Obvious junk, spam, and low-value duplicates are removed before publication.
AI and automation help with collection, filtering, and draft summaries, but the goal is still editorial judgement rather than one-click aggregation.
Each page should reflect that specific saved snapshot, not recycled wording from earlier weeks. Topic tags are generated from the published stories so you can follow recurring companies, products, and themes.
The main HTML page is the version built for readers, but every round-up also has JSON and Markdown companions for people who want to analyse, archive, or reuse the data.
You can browse the archive , subscribe via RSS , or follow topic tags on each round-up page to keep track of recurring storylines.
