An Anthropic researcher just gave us a peek at self-improving AI
Anthropic’s research suggests AI systems are beginning to automate parts of AI research and model tuning, with early evidence they can improve alignment benchmarks faster and at far lower cost than human researchers. For CIOs and technology leaders, this signals a shift toward AI-driven R&D and operations that could boost productivity and accelerate innovation, while also raising the stakes for governance, benchmark quality, and oversight of increasingly autonomous systems. IT organizations should prepare for a future where human teams supervise AI-assisted optimization rather than perform every iteration manually.

Given 10 benchmarks for specific misaligned behaviors, the automated systems were able to improve performance on every single one without degrading overall performance.