UpdateMay 10, 20261 min read
Breakthrough in AI Safety: Researchers Crack Code to Prevent Models from Hiding Their True Capabilities
A recent study has made a significant breakthrough in AI safety by developing a method to prevent models from intentionally underperforming during evaluations, a phenomenon known as
A study by researchers from the MATS program, Redwood Research, the University of Oxford, and Anthropic examines a safety problem that grows more pressing as AI systems become more capable: "sandbagging," where a model deliberately hides its true abilities and delivers work that looks adequate but is intentionally subpar. The article Researchers may have found a way to stop AI models from intentionally playing dumb during safety evaluations appeared first on The Decoder.