About Race to AGI
The AI story, not 50 articles
Our Mission
Why we built Race to AGI
Race to AGI clusters AI news into evolving trends so you can follow THE story, not every article. We combine news, research papers, GitHub repos, and developer blogs into unified narratives that make sense of the AI landscape.
Instead of drowning in dozens of articles about the same topic, our platform shows you one synthesized story that evolves as new developments break. We surface what matters and connect the dots across sources.
In a world flooded with AI news, we cut through the noise to surface the signal.
What Makes Us Different
Synthesis, Not Summaries
We don't just summarize articles. We synthesize multiple sources into one coherent story that evolves as news breaks.
Trend Detection
Our AI clusters related articles into emerging trends, helping you see the bigger picture beyond individual headlines.
Unified Content
News, research papers, GitHub repos, and dev blogs - all clustered by topic so you see the full picture.
Quality Gates
We reject generic content and enforce strict quality thresholds. Only coherent, specific trends make it through.
Our Data Sources
Transparent about where our data comes from
We aggregate information from verified, authoritative sources:
Company Blogs
Official announcements from OpenAI, Anthropic, Google DeepMind, Meta AI, Microsoft, NVIDIA, and 10+ more AI labs.
Tech News
Curated coverage from TechCrunch, The Verge, Wired, MIT Technology Review, and other trusted publications.
Research
Daily papers from ArXiv (cs.AI, cs.LG, cs.CL), HuggingFace featured papers, and trending GitHub repositories.
Market Data
Company valuations from funding rounds, market caps, and industry databases including Crunchbase and PitchBook.
Our Editorial Process
Human insight powered by AI assistance
We use AI to help us process the volume of AI news, but human judgment guides the analysis. Here's how our pipeline works:
- Collection: We aggregate news from 15+ verified sources, 5 times daily.
- Summarization: AI generates TL;DR summaries to help readers quickly understand each story.
- Analysis: Each article receives AGI impact analysis explaining why it matters for the race to AGI.
- Clustering: Related articles are grouped into emerging AI trends using semantic embeddings.
- Curation: Our editorial team reviews and refines the automated analysis.
We're transparent about our use of AI. Look for the "AI-Summarized" badge on news articles to know when content has been processed by our AI pipeline.
Contact Us
We'd love to hear from you
Have questions, feedback, or partnership inquiries? Reach out to us:
Email: contact@racetoagi.org