GLM-5

In this episode: • Welcome & The End of Vibe Coding?: Linda introduces GLM-5 and the paradigm shift from passive vibe coding to autonomous agentic engineering. • Architecture & DeepSeek Sparse Attention: Professor Norris and Linda examine the 744B parameter model and how transitioning from dense to sparse attention drastically cuts compute costs. • Asynchronous RL and the Slime Framework: A deep dive into decoupled training engines, addressing off-policy drift with TITO and token-level clipping. • Evaluating Real-World Agentic Engineering: Reviewing GLM-5's performance on SWE-bench and the innovative Agent-as-a-Judge pipeline for interactive frontend testing. • Hardware Adaptation & Pony Alpha: Discussing the model's extreme quantization for domestic GPUs and the dramatic anonymous release on OpenRouter.