AI companies are increasingly using AI systems to accelerate AI research and development. Today’s AI systems help researchers write code, analyze research papers, and generate training data. Future systems could be significantly more capable – potentially automating the entire AI development cycle from formulating research questions and designing experiments to implementing, testing, and refining new AI systems. We argue that such systems could trigger a runaway feedback loop in which the...
