Anthropic explores recursive self-improvement in AI systems

Anthropic's research examines how AI systems might improve themselves through iterative refinement, a theoretical frontier in AI development. The work signals serious thinking about scaling and autonomy in AI—concepts that matter to builders integrating AI into their products, particularly around reliability and control.