AI explores a novel "parent-child" AI architecture where a primary, larger AI model (the "parent") delegates specific tasks, like safety checks or fact-verification, to smaller, specialized AI models (the "children"). This system aims to create safer, more reliable, and energy-efficient AI, with the potential to foster a "machine conscience" and make AI more accessible globally. While offering benefits like enhanced critical thinking in humans and transparent "chains of reasoning" for AI decisions, the text also acknowledges potential drawbacks, including the risk of intellectual stagnation if the AI becomes overly cautious and the moral hazard of developing intentionally "bad" AI models for detection, which could be misused. Ultimately, the framework is presented as a significant step toward developing more trustworthy and adaptable AI systems.
No comments yet. Be the first to say something!