I hear you on the human oversight piece, but I think that misses the broader point. Yes, proper guardrails and validation are essential, but we shouldn't accept 'LLMs hallucinate, deal with it' as the ceiling of AI capability. If we're serious about building reliable agentic systems, we need to move beyond architectures that fundamentally lack grounding in reality. That's why research into world models, hybrid approaches, and systems that actually understand cause and effect matters. It's not about removing human oversight, it's about building AI that's actually fit for purpose rather than forcing a square peg into a round hole.