At the 2026 World Artificial Intelligence Conference, Galaxy General Robotics founder and CTO Wang He said that with massive integrated multimodal data training, embodied-intelligence foundation models could reach a 70–80% success rate on tasks without task-specific training — comparable to early conversational performance of language models. He identified powerful pretraining combined with efficient downstream/post‑training paradigms as the key enablers, and said that, given current data accumu

At the 2026 World Artificial Intelligence Conference, Galaxy General Robotics founder and CTO Wang He said that with massive integrated multimodal data training, embodied-intelligence foundation models could reach a 70–80% success rate on tasks without task-specific training — comparable to early conversational performance of language models. He identified powerful pretraining combined with efficient downstream/post‑training paradigms as the key enablers, and said that, given current data accumulation and model convergence trends, the industry could see an embodied‑intelligence “ChatGPT moment” by end‑2028.