Capability isn’t the same as reliability.

What changed

This preview shows our approach to research and benchmarks. We’ll describe the task, the test conditions, and the result before reaching for a sweeping conclusion. A benchmark result will stay a benchmark result.

Why it matters

A tool that gets an unusual task right once can be fascinating. A tool that handles a routine task consistently can be useful. Our coverage will ask how often something works, what supervision it needs, and what a failure would cost the person relying on it.

The caveats

No single evaluation covers every real-world use. Test data, prompting, tool access, and the evaluator’s choices can all shape a result. When methods or data are unavailable, we’ll make that limitation visible.

Go to the source

Further reading behind this editorial approach.

1. NISTThe AI Risk Management Framework ↗www.nist.gov · opens in a new tab