RESEARCH NOTE: FIVE LESSONS FROM HAVING HELPED RUN AN AI-BIOLOGY RCT

Summary from the TLDR newsletter

Almost everyone agrees that AI policy should be evidence-based. However, science is often messy and full of caveats, which doesn't fit well with policymakers' demands for clean answers. Many AI benchmarks have saturated and can no longer give a clear 'no' on risks. Experiments show how much we still have to learn. We need to spend less time proving that today's AIs are safe and more time figuring out how to tell if future AIs are dangerous.