GLM-5.2: Built for Long-Horizon Tasks

The release of GLM-5.2 introduces enhancements tailored for long-horizon tasks, featuring an expanded model size and refined architecture to improve performance in sequential decision-making scenarios. Key updates include optimizations in memory management and inference speed, which are crucial for applications requiring extended context understanding. This model's advancements are significant for practitioners focused on developing AI systems that operate over longer timeframes and complex task sequences.