About AI Hot
AI-curated news for the global AI community
AI Hot is an English-language AI news aggregator that uses AI to filter signal from noise across 50+ English sources. We deliver a curated daily feed, trending topics with time-decay heat scores, and public RSS/data files for readers and search engines.
Our core value proposition is simple: "Read less, know more." AI Hot does the reading so you don't have to — aggregating 500+ items daily, scoring them, and surfacing the 20-30 that actually matter.
What We Track
We monitor sources across three tiers: primary tech media (The Verge, TechCrunch, Ars Technica, Wired), official AI company blogs (OpenAI, Anthropic, Google DeepMind, Meta), and niche community sources (Hacker News, arXiv, Papers With Code, AI Twitter/X, Substack newsletters).
Heat Score Algorithm
Our heat score uses a time-decay formula: stories reported by more sources score higher, and scores decay over time to prevent stale items from lingering. High-authority sources contribute more weight. The algorithm is deterministic and publicly documented.
AI Transparency
Summaries are generated by AI. We always link to the original source and encourage readers to verify information. We do not reproduce full articles — only titles, AI-generated summaries, and links.
Data & Feeds
AI Hot currently provides agent-friendly static resources: SKILL.md, RSS feeds, sitemap, and public JSON data. We believe AI news should be accessible to humans and agents alike, while avoiding placeholder API claims before they are live.