According to Google DeepMind, David Silver emphasizes the potential of reinforcement learning systems to surpass human knowledge, aiming for AI to independently learn and discover scientific knowledge. This vision highlights the transformative potential in AI-driven trading algorithms, which could optimize market predictions and enhance decision-making processes (source: Google DeepMind).

According to @GoogleDeepMind, on their latest podcast episode, David Silver, VP of Reinforcement Learning, discusses the potential shift from human data reliance to AI's autonomous learning capabilities. This evolution could significantly impact AI's application in trading by enhancing decision-making and predictive analytics with minimal human intervention. As AI systems become more self-sufficient, traders may expect more accurate market predictions, leading to optimized trading strategies (source: @GoogleDeepMind).