Ought
Ought is a research lab that develops mechanisms for delegating open-ended thinking to advanced machine learning systems, focusing on AI alignment and safety.
At a Glance
- AI researchers
- Academics
- Effective Altruism community
- Machine learning alignment scientists
AI Tools by Ought
(1)Elicit
AI Academic Research Assistant
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Products & Services
An AI research assistant that uses language models to help researchers find papers, extract data, and synthesize findings.
An open-source library and visualizer for writing and inspecting programs that use language models to perform complex reasoning tasks via factored cognition.
A research and educational resource explaining the decomposition of complex tasks into smaller, manageable sub-problems for AI supervision.
Market Position
Ought positions itself as a product-driven research lab, bridging the gap between theoretical AI safety and practical tool development.
Leadership
Founders
Andreas Stuhlmüller
PhD MIT in Computer Science (Probabilistic Programming). Postdoctoral researcher in Noah Goodman's Computational Cognitive Science lab at Stanford. Now CEO of Elicit.
Jungwon Byun
Graduate of Yale University. Previously Head of Growth at Upstart (fintech). Expert in product operations and strategy. Now COO of Elicit.
Executive Team
Owain Evans
Director & CEO
PhD from MIT in Brain and Cognitive Sciences. Leading an AI safety research group in Berkeley. Former research scientist at the Future of Humanity Institute (Oxford).
Board of Directors
Founding Story
Ought was started to solve the problem of scaling human supervision of AI as systems become more capable. The initial vision was to use 'factored cognition' to break down complex reasoning into small, verifiable steps.
Business Model
Revenue Model
Philanthropic grants and donations from organizations such as Open Philanthropy and the Survival and Flourishing Fund.
Pricing Tiers
Research tools like ICE and Factored Cognition Primer are available for free.
Target Markets
- AI researchers
- Academics
- Effective Altruism community
- Machine learning alignment scientists
- AI alignment research
- Systematic literature reviews
- Automated reasoning for scientific research
- High-quality deliberation
- Individual researchers at universities
- AI safety labs