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Zhipu founder Tang Jie defends open-source AI in an internal memo, releasing GLM-5.2 openly, amid global security debates and potential Chinese restrictions on model access.
colibri is a pure C inference tool that runs the GLM-5.2 744B MoE model on ~25 GB RAM by streaming experts from disk, eliminating the need for expensive GPUs.
GLM-5, a 744B parameter model, underperforms on the MMLU-Pro benchmark compared to a much smaller 9B model, raising questions about efficiency and scaling.
Coinbase CEO Brian Armstrong announced the company is experimenting with using Chinese open-weight AI models like GLM 5.2 and Kimi 2.7 for its LLM gateway, routing prompts by difficulty, suggesting that frontier models may be overkill for execution tasks.
A user expresses disappointment with GPT-5.6, claiming it is not better than GLM-5.2.
The author shares their experience building a ReAct agent system and introduces the GLM-5 technical report released by Zhipu AI, which achieves breakthroughs in agentic, reasoning, and coding capabilities.
GLM-5.1 is a next-generation flagship AI model optimized for agentic engineering with significantly stronger coding capabilities, achieving state-of-the-art performance on SWE-Bench Pro and demonstrating superior long-horizon task handling through extended iteration and tool use.
GLM-5 introduces DSA for cost reduction, asynchronous reinforcement learning for alignment, and enhanced coding capabilities, achieving state-of-the-art performance on benchmarks and real-world software engineering tasks.
zai-org releases GLM-5 series, with GLM-5.2 achieving top open-source performance on coding benchmarks with 1M-token context and improved architecture using IndexShare sparse attention.