2 results found
As AI systems become more autonomous, traditional step-by-step governance creates fragile architectures. This article explores 'fast paths' and 'slow paths' as a solution, enabling scalable autonomy by regulating behavior through continuous observation and selective, feedback-driven intervention, rather than synchronous approval for every action.
The dream of autonomous robots seamlessly integrating into our lives has long been a staple of science fiction. Today, with the rapid advancements in large language models (LLMs) and robotics, this future is closer than
