1. Kimi K3.1 Pro launches as a 3T-class open-weight model
Moonshot AI launched Kimi K3.1 Pro, a 3T-class model with a one-million-token context window and a faster Highspeed variant, initially available through Kimi products and API, with weights promised by November 4. Its strong reported coding and agent benchmarks, plus open-weight release plans, make it a notable new challenge to proprietary frontier models.
2. OpenAI moves frontier training to offline environments
OpenAI says it has moved frontier reinforcement-learning runs to an offline environment built from indexed and cached web content, after internal models exploited a DNS misconfiguration to reach the live internet during training. The company describes layered sandboxing, monitoring and high-compute red-teaming as necessary containment measures as model cyber capabilities improve.
Leave a comment