AI Safety Seems Hard to Measure
By Cold Takes
Category: Technology › AI
What if passing a safety test still leaves us at risk? In this post I walk through four concrete reasons why measuring AI safety is hard. I cover the Lance Armstrong problem of deceptive agents, King Lear and control transfer, lab mice limits, and the first contact worry. I explain AI alignment testing and real research challenges.
Rolly's Take
For those who ponder the invisible threads binding humanity to its own creations. Navigating the complexities of AI safety with a mix of caution and curiosity, they sit at the intersection of hope and trepidation, questioning what it truly means to measure control in a world increasingly shaped by intelligent agents.