In this episode of Suite Speak, we explore the emerging world of State Space Models (SSMs) and explore their potential role in shaping the future of Agentic AI. Our guest, Daryle Serrant, shares how SSMs offer a fundamentally different approach from traditional transformer models, enabling AI systems to build dynamic internal memories rather than attending to all information at once.
We'll discuss why this matters for the next generation of AI agents, real-world applications where SSMs could have a major impact, and how these architectures might open the door to faster, more efficient AI.