Really enjoyed this perspective. The idea that an LLM is a stateless function changes the way we think about building AI systems. A lot of people focus on the model itself, but the real engineering challenge is around managing context, memory, and orchestration effectively.
The point that “memory” is something we build around the model rather than something the model naturally owns is especially important for designing reliable agents. Great reminder that good AI products are not just about choosing a powerful model they are about building the right architecture around it.
Looking forward to seeing more practical examples from this series.