Memo released Physical-WAM, which uses physical tokens between perception inputs and action outputs to help robots estimate object properties and predict the consequences of actions. It also released RoboTwin-Phys, which adds 13 types of physical perturbations to RoboTwin; its code, dataset and leaderboard are open for third-party evaluation and replication.
Simate has unveiled Simate-beta, a general-purpose physical AI fast system, with robot demonstrations covering task adaptation, memory, long-horizon execution and fine manipulation. A RoboDojo leaderboard supplied by the company and updated on September 23, 2026, ranks the model first with an average Score of 33.95 and an SR of 27.96%; its architecture and model size await a technical report.
Meituan’s LongCat API platform has launched LongCat-2.5-Preview, with a focus on long-running tasks and multimodal capabilities. According to the official update log, the model adds image understanding and supports a 1 million-token context window; it has about 1.6 trillion total parameters and activates about 48 billion per inference.
NV-Reason-CT is introduced as a 3D CT vision-language model for radiologist chain-of-thought reasoning. The source says frontier general-purpose models perform poorly on volumetric imaging.
Anthropic announced Opus 5.5 for tasks such as coding and complex knowledge work. OpenAI announced GPT-6 Sol and Luna, models focused on efficiency and speed. Both companies aim to lower costs, though the material provides no pricing or performance figures.