According to DeepLearning.AI, researchers have introduced Self-Search Reinforcement Learning (SSRL), a novel method that enables language models to simulate web searches for more effective information retrieval from their own parameters (source: DeepLearning.AI Twitter, Nov 26, 2025). SSRL fine-tuning led to significant improvements in accuracy across multiple question-answering benchmarks and further enhanced performance when integrated with real web search tools. This advancement presents concrete business opportunities for enterprises seeking to deploy more autonomous and informative AI-powered chatbots, customer support agents, and virtual assistants. It also suggests a future trend where language models can minimize reliance on external search engines, reducing latency and operational costs while maintaining high information accuracy (source: The Batch summary of SSRL paper).