Part 8/13:
Drawing parallels with software engineering, the speaker discusses patterns—recurring solutions—and antipatterns—common pitfalls or misguided approaches. In AI, especially in large language models (LLMs) like generative AI, many systems are designed around pattern recognition but often fail to account for antipatterns, which can lead to issues like hallucinations or unpredictable behaviors.
He emphasizes that much like software operations (OS), agentic OS (or agent-oriented operating systems) must embed governance—calibrations, guardrails, and oversight—directly into AI systems. This ensures responsible, predictable AI behavior and facilitates calibrations in real-time, rather than treating governance as an afterthought.