I see a significant gap between the potential of AI technology and its current reality, which presents an opportunity for testing and evaluating these models to achieve their true potential.

The complexity of our AI systems is driven by the need for rigorous evaluation, which is critical for making informed investments in our technology.

The current AI models still struggle with basic tasks, indicating a need for further optimization and development within the industry.

It's essential to define rigorous testing for AI models to ensure society understands the risks associated with their deployment.

The diversity of opinions and expertise in the community is crucial for accurately evaluating AI models and their capabilities.

The diversity of opinions and expertise in the community is crucial for accurately evaluating AI models and their capabilities.

It's difficult to find interesting and realistic threat models for AI systems that can effectively demonstrate their capabilities.

Many AI demos look impressive, but the actual products often fail to deliver and aren't widely used in real-world applications.

Real-world testing is essential for ensuring that AI models are reliable and effective in practical applications.