What it feels like to work with Mythos (www.oneusefulthing.org)

Claude Fable, the latest release in the Mythos-class AI models, is showcasing a transformative leap in artificial intelligence capabilities. Early hands-on tests reveal its superior performance across a variety of tasks, often outshining previous models through complex, multi-layered capabilities. Notably, Fable can autonomously handle intricate operations, such as generating a sophisticated isochrone map or a comprehensive 19-page software design, all while launching auxiliary AI models for research and validation. The results demonstrate the AI's ability to effectively manage multiple judgment tasks and produce high-quality outputs with minimal user intervention. This development signals a significant shift in the human-AI relationship, where users transition from active participants to patrons dictating high-level goals. While this newfound efficiency is impressive, it also raises concerns about the opacity of AI decision-making processes, as users have little insight into the numerous choices Fable makes autonomously. The model's remarkable abilities invite both excitement and unease, indicating that as AI becomes more powerful, the extent of human control may diminish, shifting focus from steering the process to evaluating outcomes. This nuanced dynamic necessitates ongoing discussions about the implications of such sophisticated, black-box AI systems in the AI/ML community.