Z.AI's GLM-6.0 Announcement Outlines Training Strategy, Not a Finished Model

Z.AI has publicly announced GLM-6.0 and placed a methodology called Full Self-Training at the center of its development roadmap. The approach describes a continuous feedback loop spanning pre-training, mid-training, and post-training stages, where the model generates, evaluates, and filters its own experience to improve subsequent training cycles. Z.AI has also disclosed that roughly 60% of its net proceeds are earmarked for next-generation models, large-scale training, inference infrastructure, and Full Self-Training efforts. However, no complete model card, benchmark results, API specification, pricing, or release date has been made public. Analysts note the announcement reflects a strategic training direction rather than a deployable product profile.