According to @StanfordAILab, new methods for training large language models (LLMs) through unsupervised interaction on live websites have been proposed. This approach offers state-of-the-art open-source tools, notably WebVoyager, designed to create browser agents for any domain, including banking and healthcare, which could significantly impact algorithmic trading strategies by providing real-time data parsing from financial websites.