Cybren AI, we develop large-scale AI systems, and our research teams help us to create safer, steerable, and more reliable models. Advancing AI through fundamental and applied research. With a decade of experience, Cybren AI team aims to achieve advanced machine intelligence (AMI) to accelerate the potential of future products for the benefit of people.
Our research teams investigate the safety, inner workings, and societal impact of AI models — so that artificial intelligence has a positive impact on society as it becomes increasingly advanced and capable.
The mission of the Interpretability team is to discover and understand how large language models work internally — the foundation of ensuring safety and positive outcomes.
At Cybren we believe safety research is most useful when performed on highly capable models. Every year, we see larger neural networks which perform better than those that came before.
The Alignment teams works to understand and develop ways to keep future advancements in AI helpful, honest, and harmless.
We believe critically evaluating the potential societal impacts of our work is a key pillar of research. Our approach centers on building tools and measurements to evaluate and understand the capabilities, limitations, and potential for societal impact of our AI systems.
Working closely with the Cybren Policy and Trust & Safety teams, the Societal Impacts team is a technical research team that looks to ensure AI interacts positively with people.
We highly value collaboration on projects, and aim for a mixture of top-down and bottom-up research planning. We always aim to ensure we have a clear, focused research agenda,
Inspired by the universality of scaling in statistical physics, we develop scaling laws to help us do systematic, empirically-driven research.
Universities engage in research as part of their missions around learning and discovery. This, in turn, contributes directly and indirectly to their primary mission of teaching.
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