速递｜种子轮即达5000万美元：前谷歌、苹果研究人员创办AI初创企业

Core Insights - Andrew Dai, a seasoned AI researcher with 14 years of experience, has left Google DeepMind to establish a startup named Elorian, focusing on developing AI models that can understand and process text, images, video, and audio simultaneously [1] - Elorian is currently in discussions to raise approximately $50 million in seed funding, with Striker Venture Partners, founded by former VC partner Max Gazor, considering leading this round [1] - Co-founder Yang Yinfeng, a former Apple researcher, contributed to the development of Elorian's AI models before leaving Apple in December [1] Company Focus - Elorian aims to create AI models that visualize and analyze the physical world by synchronously processing images, videos, and audio [1] - While robotics is a potential application for Elorian's AI, the company envisions a broader range of applications, although specific use cases have not been disclosed [1] Industry Trends - Early AI models, such as those from OpenAI, primarily trained on text but have shifted towards image and video training, marking a significant trend in the field known as visual reasoning [2] - Visual reasoning models are designed for complex AI applications, integrating multiple functionalities and reducing the need for developers to piece together different AI models [2] - This technology is particularly valuable for AI agents that need to interpret and understand images, supporting advanced tasks like processing retail product returns and reviewing legal documents [2] Research Background - Andrew Dai has a strong background in pre-training models, having co-led data-centric pre-training work at Google DeepMind, which laid the groundwork for the Gemini series of models [2] - He is recognized as a pioneer in the field of language models, with a focus on developing techniques to assess the quality of training data for AI models [2]