About aibrief.ai
Making AI developments accessible and actionable.
aibrief.ai is an AI news aggregator that tracks the fast-moving world of artificial intelligence. We monitor model releases, research papers, developer tools and coding agents so you don't have to piece it together from dozens of sources.
Our platform uses AI-powered scoring and summarization to surface what matters most, filter out noise, and present developments in a way that's easy to scan and act on — whether you're an engineer evaluating tools, a researcher tracking the field, or an investor watching the AI sector.
What we cover
Models & Benchmarks
Track new model releases, benchmark comparisons, and performance trends across leading AI labs.
Research Papers
AI-generated summaries of the most impactful papers from arXiv, with relevance scoring.
AI Tools
Curated directory of AI-powered tools and platforms, with pricing and categories.
Coding Agents
Side-by-side comparisons of AI coding assistants, including capabilities, pricing, and real-world performance.
Timeline
Key moments in AI, from model launches to research milestones, in date order.
How AI is used here
Summaries and TL;DRs on this site are written by a language model from the linked source, and are marked AI summary where they appear. They can be wrong or incomplete — the source link is always the authority, and we would rather you followed it than trusted us.
Everything else — which models, tools, benchmarks and events are listed, and how they are described — is curated by a person. Scores and rankings are computed, not editorial opinion.
Where our data comes from
Story and paper summaries are written in our own words and link to the original; each story names its source. Reference data comes from the vendors' own pages and from these sources:
- arXiv: Research paper titles, authors, categories and links. Paper summaries are our own.Thank you to arXiv for use of its open access interoperability.
- GitHub: Release notes of open-source projects, summarised in our own words with a link to the release.
- Hugging Face: Upvote counts for research papers.
- LMArena leaderboard dataset (CC BY 4.0): Arena ratings on the model pages.
- llm-stats.com: Some benchmark scores (as reported by the model vendors), each linked from the benchmarks table.
- Epoch AI (CC BY 4.0): Some benchmark scores.
- Codesota (CC BY 4.0): Some benchmark scores.
Get in touch
Have feedback, a tool to submit, or a question? Reach out at [email protected] or find us on Twitter.