DeepSeek Invests in Winverse AI Seed Round, Focusing on Embodied Intelligence
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- leaderobot.com
Two months ago, DeepSeek participated in the IPO strategic placement of Yushu Technology with an investment of approximately 141 million yuan. This investment is seen as a financial strategy, as Yushu's stock closed at 845 yuan on its first trading day, yielding a paper profit of about 648 million yuan for DeepSeek. Recently, reports emerged that DeepSeek plans to lead a seed round financing for the robotics startup Winverse AI, amounting to tens of millions of dollars, with a post-investment valuation of around 400 million dollars.
Winverse AI, founded just months ago by Hu Han, a co-author of the Swin Transformer paper and former head of Tencent's multimodal model, aims to develop AI models that enable robots to understand commands and perform real-world tasks. Despite being a nascent company with no product launch or revenue, DeepSeek's investment reflects a dual bet on Hu Han's technical acumen and the critical role of 'robot brains' in the future of embodied intelligence. Additionally, DeepSeek's previous investment in Yushu included a commitment to collaborate on general AI, high-performance general robotics, and AI large models, indicating a long-term technological partnership.
DeepSeek's approach to embodied intelligence is cautious yet ambitious, focusing on identifying the most promising technological paths and partners early on. CEO Liang Wenfeng's recent engagements with embodied intelligence entrepreneurs suggest a strategy to recruit interdisciplinary talent capable of integrating large model capabilities into robotics. The competitive landscape, particularly with the emergence of GPT-6, which has shown a 95% success rate in robotic control tasks, adds pressure on DeepSeek to advance its embodied intelligence initiatives, as the industry recognizes that true intelligence requires understanding the complexities of the physical world.
Original report
DeepSeek's Unique Path in Embodied Intelligence Beyond OpenAI's Choices
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