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Qaagi
AI Reasoning System for Causes and Effects

What is Qaagi?

Qaagi presents itself as a large-scale AI reasoning system focused on understanding and explaining the causes and effects of events and concepts. It positions its core strength in reasoning, contrasting this approach with traditional keyword-based search methods. The system aims to provide deeper understanding by answering 'why' questions across a broad range of topics.

Built upon what it calls a 'Reasoning Graph', Qaagi is designed to process and connect causal relationships. It aims to move beyond simple information retrieval towards a form of artificial general intelligence (AGI) capable of genuine reasoning about causality. The platform invites users to explore these capabilities by querying the system on various subjects.

Features

  • AI Reasoning System: Understands and explains causal relationships.
  • Cause and Effect Analysis: Answers 'why' questions about various topics.
  • Large-Scale Knowledge Base: Covers a wide range of subjects for causal queries.

Use Cases

  • Researching the underlying causes of historical events (e.g., Gulf War).
  • Understanding the effects of environmental factors (e.g., Climate changes, Low air quality).
  • Exploring the origins and impacts of concepts or movements (e.g., Impressionism, Psychoanalysis).

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