Agentic Systems Fundamentals with Maarten Grootendorst

BERTopic creator and Google DeepMind developer relations engineer Maarten Grootendorst has spent years helping practitioners build intuition for how AI systems actually work—not just how to prompt them. Maarten joined Ben Lorica to cover the enduring relevance of embeddings and topic models in an LLM-dominated world, his hot take that agents are essentially just an “LLM in a for loop with some tools, some memory, and perhaps some guardrails," and what separates genuine agentic behavior from a well-constructed pipeline. They also get into the practical trade-offs between open weight and proprietary models, the future of state space models and attention, and why Maarten worries that a generation of builders shipping code they can't read may be storing up technical debt they can't repay. "If you don't really know how an LLM works," he says, "that intuition [about how to use it effectively] is much more difficult to develop."