AI research automation

For decades, the idea of machines improving themselves belonged largely to science fiction, academic speculation, and philosophical debate. The notion of “recursive self-improvement”—where an intelligent system actively accelerates its own development—has long been associated with dramatic scenarios ranging from technological utopia to existential catastrophe. In 2026, that conversation is no longer hypothetical. Artificial intelligence systems are now deeply embedded inside the research and development pipelines of leading AI laboratories. These systems are not merely tools for writing code faster or summarizing papers more efficiently. They are being used to propose experiments, optimize model architectures, analyze training results, debug failures, and … Read more