As we build more capable and more personalized AI, reliability, security, and user protections are more important than ever. Advanced models require an advanced approach to safety — one that scales with the technology. Today, we’re detailing that work: our updated Advanced AI Scaling Framework, our Safety & Preparedness Report for Muse Spark, and new advances in how our models...

Z.ai launched GLM-5.2, a 753-billion parameter Mixture-of-Experts (MoE) open-weights AI model for long-horizon coding and engineering tasks. GLM-5.2 features a 1-million-token context window, reasoning controls, and support for coding tasks across entire codebases; it also utilizes the IndexShare architecture to reduce per-token compute FLOPs by up to 2.9 times. GLM-5.2 demonstrates high performance on benchmarks like SWE-bench Pro (62.1%), Terminal-Bench...