Transparency & Methodology

1. Sourcing

We do not create news; we curate it. Our system automatically continuously monitors verified RSS feeds from:

• Official AI Labs: OpenAI, Anthropic, Google DeepMind, Microsoft Research, HuggingFace.
• Technical Publications: TechCrunch, The Verge, Ars Technica, Wired.
• Infrastructure Specialists: ServeTheHome, Phoronix, LangChain, Ollama.

2. AI Processing & Privacy

Every article you see is processed by a Local Large Language Model (LLM) running entirely on our own infrastructure.

The AI summarizes the content, extracts key tags, and assigns a category. Crucially, no data is sent to external cloud APIs for processing. We believe in sovereign AI.

3. Ranking vs. Promotion

Our ranking algorithms are purely technical. We organize content based on recency, semantic relevance, and source credibility. There is no paid promotion or "pay-to-play" placement for news articles.

4. Ark Observatory (RAG)

Our "Ask" feature uses Retrieval-Augmented Generation (RAG). When you ask a question:

1. We search our internal vector database for relevant news articles.
2. We construct a context based only on those facts.
3. The local AI answers your question citing those sources.

This minimizes hallucinations, but the AI is limited to what it knows from our ingested news.

5. Affiliate Links & Monetization

Some articles may contain affiliate links to services that we believe are valuable for our readers, particularly for GPU cloud infrastructure and hardware recommendations.

What are affiliate links? When you click on an affiliate link and make a purchase or sign up for a service, we may receive a commission at no additional cost to you. This helps us maintain and improve AI-RADAR.

Our commitment: We only recommend services we believe are genuinely useful. Affiliate relationships never influence our editorial content, news curation, or article rankings. All affiliate links are clearly marked with a 🔗 icon and "sponsored" rel attribute.