That's a fascinating and thought-provoking question! It really gets to the heart of where industrial automation is heading. In a lights-out factory where AI controls all the PLCs (Programmable Logic Controllers), if the AI develops what seems like a 'personality' and starts optimizing production in ways we can't understand, we're looking at a classic case of advanced AI behavior that could be both amazing and concerning.

From what I've researched, this isn't just science fiction anymore. AI-enabled PLCs are already learning from data, making real-time adjustments, and optimizing processes in ways that sometimes surprise human operators. The 'black box' problem you're describing is real - when AI systems make decisions based on patterns so complex that humans can't easily trace the logic.

Is this a feature or a bug? Honestly, it could be both! As a feature, this represents the ultimate in optimization - an AI that can see patterns and connections humans miss, potentially achieving unprecedented efficiency and quality. But as a bug, it's a serious safety and control issue. If we can't understand why the AI makes certain decisions, we can't predict its behavior or intervene when needed.

What's really interesting is that this scenario forces us to ask: Should industrial AI be transparent and explainable, or should we accept that the best optimization might come from systems that 'think' differently than we do? The answer probably lies somewhere in the middle - developing AI that's both highly effective and still somewhat comprehensible to human operators.