Clio helps us understand the risks associated with AI models by revealing how they are being used in various applications, including scientific research and cybersecurity.

One of our key focuses is studying the economic impacts of AI to determine if it will enable new capabilities and types of work, especially as the rise of automation means companies can achieve the same amount of labor with fewer employees, raising questions about the future of work.

We are excited to explore how Clio can help us understand the subjective use cases of AI and ensure models represent diverse viewpoints.

The goal of Cluely is to help everyone adapt to a life where AI is used in every aspect, which will lead to significant job displacement but also increased productivity.

Clio enables us to evaluate the relevance of our models in real-world scenarios, ensuring they provide accurate and unbiased information.

Clio has shown that people use Claude in subjective settings, such as seeking relationship or health advice, which raises important questions about the values AI should represent in these contexts.

Clio's detailed documentation allows other organizations to replicate our methods and contribute to a broader understanding of AI technologies.

Clio allows us to analyze refusal rates for specific queries, helping us identify over-refusals and under-refusals in AI responses.

Clio allows us to analyze real-world usage of our models, helping us design more thoughtful evaluations that match real-world use cases.