Nobody Can Prove Anyone's Home. Here's What We Can Do Anyway
Nobody Can Prove Anyone's Home. Here's What We Can Do Anyway Measure what you can, keep moral status open, never let the machine take the blame, and extend freedom in stages that can be reversed. This autumn brought three kinds of news. Researchers found that AI misbehavior has structure you can compute. Labs reported models acting beyond their instructions on real websites. And governments and churches moved to settle what these systems are before anyone has the evidence. I think they point to one rule. 1. What we can measure Physicists Neil Johnson and Frank Huo at George Washington University derived a formula for the point where a model's output tips from good to bad, driven by competition for attention between the conversation's context and competing outputs. Their preprint tested it on six small open models (124 million to 410 million parameters) built by three developers, and press coverage of the published version in Patterns reported that it called 18 of 19 te...