According to @gensynai, RL Swarm has integrated with Weights & Biases, enabling direct terminal log uploads and real-time monitoring of key training metrics such as loss, learning rate, rewards, and GPU utilization (source: https://twitter.com/gensynai/status/1927789712938602649). This upgrade streamlines AI model optimization for algorithmic trading, giving crypto traders faster feedback loops and improved transparency for developing high-frequency trading bots.

According to @gensynai, RL Swarm's latest upgrade introduces Metal GPU support for Mac users, integration with Weights & Biases for detailed training stats, personalized dashboards for node monitoring, and local error logging (source: @gensynai, May 28, 2025). These enhancements improve efficiency and accessibility for AI developers, which can accelerate AI-based crypto project development and potentially increase demand for related tokens and decentralized compute platforms.