According to God of Prompt on Twitter, DeepMind has published groundbreaking research in Nature led by David Silver, introducing an AI meta-learning system capable of autonomously discovering entirely new reinforcement learning (RL) algorithms from scratch (source: God of Prompt, Twitter; Nature). This system does not merely tune hyperparameters or tweak existing methods, but searches the algorithmic space to generate, test, and evolve millions of RL algorithm variants. The discovered algorithms consistently outperform state-of-the-art human-designed methods such as DQN and PPO across diverse tasks and environments. Notably, these novel RL rules generalize well and remain interpretable, suggesting significant business opportunities for automating the discovery of superior AI learning strategies. This development represents a meta-level breakthrough, enabling AI systems that can innovate in how AI itself learns, thus accelerating advancements in autonomous agent training and optimization.