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Jiuwen Symbiosis announced its platform for embodied AI agents, targeting the construction of next-generation intelligent systems for the physical world. The release focuses on giving AI agents a physical body, beyond purely digital interactions. No specific technical details, models, or availability were disclosed in the brief announcement.

OpenAI has introduced three new courses in its Academy program. These courses are designed to help learners build practical AI skills, create repeatable workflows, and apply AI agents in everyday work. The initiative targets workers adapting to the next era of AI-driven productivity.

In a recently conducted agent evaluation, the highest difficulty tier proved insurmountable: every tested agent scored zero. No model was able to earn any points on that level, highlighting the extreme challenge posed by the benchmark.

Chinese embodied intelligence company/research group Kuawei has adapted Bird's Eye View (BEV) techniques, originally from autonomous driving, for robot data representation. The method aims to unify spatial perception, enabling large-scale training of robotic systems. By applying BEV, robot learning data can be scaled efficiently, similar to the scaling laws observed in large language models. This reflects a trend of cross-domain technology transfer from autonomous vehicles to general-purpose robotics. Limited technical details are provided in the announcement.