Advanced AI models hold the promise of tremendous benefits for humanity, but society
needs to proactively manage the accompanying risks. In this paper, we focus on what we …

The abundant demand for deep learning compute resources has created a renaissance in
low-precision hardware. Going forward, it will be essential for simulation software to run on …

Scaling laws have driven remarkable progress across machine learning domains like
language modeling and computer vision. However, the exploration of scaling laws in …

Existing strategies for managing risks from advanced AI systems often focus on affecting
what AI systems are developed and how they diffuse. However, this approach becomes less …

We present a quantitative model for tracking dangerous AI capabilities over time. Our goal is
to help the policy and research community visualise how dangerous capability testing can …

Recent developments in Artificial Intelligence (AI) pose a complex challenge for
policymakers, who are tasked with regulating a technology which is poorly understood …