Excited to deliver Grok 4.5, with which we pushed RL scaling to the next level and achieve top-tier agentic coding performance.
The past few months have been intense for me — driving fundamental algorithmic changes on both RL stability and capability, iterating days and nights on RL infra, and executing bigruns at true frontier scale. Even a few months ago, I would not have believed this was possible with such a small team under such difficult situation. Shoutout to all colleagues at xAI! 🫡
📢 Three incoming faculty members at KAIST AI, starting in August 2026✨
Dr. Sehoon Kim from xAI (@sehoonkim418), Dr. Hyunwoo Kim (@hyunw_kim), and Dr. Seung Wook Kim (@seungkim0123), both from NVIDIA, will be joining KAIST AI as Assistant Professors
Check their websites below🧵
The standout feature in SGLang v0.5.13 is BCG (Breakable CUDA Graph). It delivers prefill efficiency comparable to PCG (Piecewise CUDA Graph), while being significantly more flexible and compatible with advanced optimizations.
BCG is also a powerful debugging tool — it enables eager execution inside CUDA graph replay, so you can easily print debug info or inspect intermediate states.
Prototype by @csy_789. @Oasis_a19 turned it into a production-ready prefill optimization. I was fortunate to pick the name for this awesome technique. 😊
An early beta of Grok Build, an agentic CLI for coding, building apps, and automating workflows is now available for SuperGrok Heavy subscribers.
Through this early beta, we will improve the model and product based on your feedback.
Try it at https://t.co/bpTHpjivWD