12 min • 1 lectures
Frontier AI Models at Work provides a technical and strategic overview of high-scale artificial intelligence systems. The curriculum moves beyond viewing models as simple chatbots, categorizing them instead as general-purpose agents capable of multimodal tool use. The course examines the fundamental transformer architecture and the self-attention mechanism established in the 2017 "Attention Is All You Need" research. It explains how empirical scaling laws and compute thresholds, specifically those reaching 10^25 to 10^26 floating-point operations (FLOPs), define the current frontier of AI capability. Listeners will understand how extreme scale leads to emergent behaviors and why these models are now the primary focus of international technology policy. The second part of the course analyzes the shift toward measuring AI through reliable autonomy and task-completion time horizons. Using data from METR and the 2026 AISI cyber-range analysis, the material demonstrates how autonomous cyber capabilities have doubled nearly every five months. Professionals will learn to distinguish between models used as productivity aids and those functioning as autonomous digital workers. The course details practical governance requirements, such as logging, authentication for non-human identities, and rigorous evaluation of dual-use risks. This framework helps organizations implement necessary oversight and access control as they deploy agentic systems into real-world workflows, ensuring that deployment remains secure and predictable.
