Things Get Strange When AI Starts Training Itself and its How it Should be Regulated

The article explores the evolving role of artificial intelligence (AI) as it transitions into self-training systems capable of recursive self-improvement. It begins by showcasing how AI enhances industries like healthcare, finance, and entertainment, demonstrating its integration into modern life. The narrative then shifts to self-training AI, explaining its ability to learn autonomously, optimize performance, and adapt without direct human input. Key concepts like data utilization, pretext tasks, feature learning, and fine-tuning are discussed, illustrating how these mechanisms empower AI to handle complex tasks with minimal manual intervention.