The development and application of SAGA (Skill to Action Generation for Agents) v0.4.0, particularly in the Thistle Gulch Beta, are marking significant advancements in the field of general AI and multi-agent simulation environments. This version introduces a feature for reporting token usage in real-time as simulations progress, enhancing the tracking of costs. Thistle Gulch, described as a Multi-Agent Gym Environment (MAGE), allows agents to autonomously think and act based on their circumstances, showcasing emergent intelligence and reasoning among AI agents, likened to 'Westworld with the good parts and not the bad parts.' The SIMA paper, published by Google DeepMind, presents a groundbreaking approach for scaling instructable agents across various simulated worlds, promising revolutionary impacts for embodied agents in virtual environments like Sim Francisco, focusing on non-goal oriented simulations. The work has garnered attention and praise from the development community, including a notable mention by @80Level and accolades from industry professionals for its contribution to building societies of AI agents, with a beta invite link available for interested developers.