The term "jagged frontier" in AI conveys a landscape of research and development that is marked by sharp, irregular progressions and notable challenges. This metaphor aptly reflects sectors within AI that are pushing the boundaries of current knowledge and technology, often facing unpredictable obstacles and breakthroughs. These areas typically involve complex problems where traditional methods falter, requiring innovative approaches that may lead to sporadic advancements. Such research fields are critical as they often lead to significant theoretical and practical shifts in AI, contributing to our understanding and capabilities in general artificial intelligence (AGI). The phrase "jagged frontier" is not tied to a specific historical origin within AI but is a more recent linguistic tool used to describe the state of advanced and fluctuating research areas. Its usage reflects the ongoing evolution and the dynamic nature of AI research, particularly from the late 20th century to the present. There are no specific key contributors associated with the term "jagged frontier" itself, as it is a metaphorical description rather than a technical concept developed by particular individuals. Instead, it encapsulates the collective efforts of researchers and developers working in the most challenging and innovative areas of AI.