An Anthropic researcher just gave us a peek at self-improving AI

An Anthropic researcher shared results suggesting automated systems can make targeted improvements on benchmarks for specific misaligned behaviors. Across 10 tests, the systems improved every targeted metric without reducing broader model performance.

The finding offers an early glimpse of self-improving AI workflows, where models or automated pipelines help identify and correct weaknesses with limited human intervention. If reliable, this could accelerate AI safety work, but it also raises questions about oversight as improvement loops become more autonomous.