Bringing collective intelligence to AI safety and alignment, Ctrl AI helps us steer technologies too powerful for any single team to fully understand.
To harness the world's collective intelligence to continuously test, interpret, and steer frontier AI models—creating a public crash-test track for artificial minds.
We believe that understanding AI systems is too important to leave to a few corporations or nations. This is humanity's most transformative invention, and we all deserve a voice in how it evolves.
AI is accelerating at an unprecedented pace. The most powerful systems are trained through methods that make them inherently opaque—even to their creators. Current evaluation methods are insufficient: internal testing lacks diverse perspectives, while public benchmarks are susceptible to manipulation.
Unlike any technology before it, AI is not built but grown. We don't program its most impressive abilities directly; we create environments where it develops capabilities in ways we don't fully understand. This new paradigm requires new approaches to testing, understanding, and steering.
Ctrl AI is designed as an independent, public utility. We move beyond simplistic benchmarks to foster a deeper understanding of how AI systems operate under diverse, real-world conditions. Everything happens with complete transparency—all prompts, responses, and evaluations are public.
By harnessing diverse perspectives from specialists across disciplines, we can identify patterns, biases, and capabilities that might be missed by homogeneous testing teams. This collective intelligence approach creates a more robust understanding of AI behavior and helps us steer these systems toward beneficial outcomes.
AI systems are rapidly becoming more capable and will reshape economies, societies, and potentially the future of humanity itself. The decisions we make now about how we understand and guide these systems will have far-reaching consequences.
As AI systems become more powerful, ensuring they remain aligned with human values becomes both more crucial and more difficult. Proper testing and understanding across diverse scenarios is essential for identifying misalignment before deployment.
For AI to benefit humanity broadly, the public must trust these systems and the processes that create them. Transparency in testing and evaluation builds this trust and ensures AI development is guided by broader societal values, not just technical or commercial considerations.
AI is fundamentally different from previous technologies. Traditional technologies are built systematically with each component understood and designed by humans. In contrast, modern AI is more like something we grow than something we build—we create the conditions for it to develop, but its most impressive capabilities emerge in ways we cannot fully predict or explain.
This inherent opacity means our only path to understanding is through extensive, diverse testing and analysis—watching, interacting, and learning from how these systems behave across countless scenarios. No single team, no matter how brilliant, can anticipate all the ways these systems might behave or fail. It requires a collective effort spanning backgrounds, expertise, and perspectives.
Researchers select AI models and write prompts directly within the platform. Responses are generated via API calls and permanently logged with model version identifiers. This creates a verifiable record of AI behavior across time and model versions.
Analysts evaluate responses using structured criteria for alignment, capabilities, factuality, and more. Multiple perspectives yield richer, more nuanced understanding. The community identifies patterns, biases, and unexpected behaviors that might be missed by individual testers.
All data is public. Insights are shared, discussed, and built upon. What one person discovers benefits everyone, creating a collective understanding of AI behavior. This transparency helps hold AI developers accountable and informs responsible development and governance.
Browse all crash tests and analyses freely, no registration required. See what the community is discovering about AI behavior and gain insights into how these systems operate in real-world conditions.
Start ExploringRegister to analyze, comment, and upvote existing tests. Add your perspective to the collective assessment and help build a deeper understanding of AI systems through your unique viewpoint and expertise.
Register as AnalystApply to become a Researcher. Create new tests and conduct experiments to expand our collective understanding. We welcome experts from all fields—AI impacts every domain, and we need diverse perspectives to fully understand it.
Apply as ResearcherThe future of artificial intelligence is being written now. Join us in steering these powerful systems toward beneficial outcomes. Collective intelligence is our best path forward for understanding and guiding AI systems that will shape our shared future.