图片来源：生数科技 近日，字节跳动火山引擎 AI 解决方案负责人骆怡航博士离职，加入清华系多模态创业公司生数科 技，担任 CEO ，直接向生数科技首席科学家朱军教授汇报。 今年 6 月，生数科技完成数亿元 Pre-A 轮融资，由百度集团领投，中关村科学城公司等跟投，启明创 投等老股东继续支持。 此前，生数科技已获得来自蚂蚁集团、 BV 百度风投、卓源亚洲、锦秋基金、达泰资本、智谱 AI 等 机构的投资。百度智能云事业群组对生数科技的战略投资，体现了百度在多模态 AI 领域的布局和对 生数科技技术实力的认可。 我们相信认知能够跨越阶层， 致力于为年轻人提供高质量的科技和财经内容。 生数科技由清华人工智能研究院副院长朱军教授带领，核心成员来自清华大学人工智能研究院，长期 致力于贝叶斯机器学习的基础理论和高效算法研究，在扩散概率模型领域成果显著。 2023 年初，生数科技开源基于 Transformer 的多模态扩散大模型 UniDiffuser ，实现多种生成任务。 目前，生数科技正打造产业级多模态深度生成式大模型，覆盖多种模态，该大模型正在快速迭代中。 来源： [1] https://mp.weixin.qq. ...

Core Viewpoint - The emergence of the "OpenAI Mafia" is reshaping the AI landscape, with former OpenAI employees founding numerous startups that have collectively raised significant capital and achieved high valuations, indicating a strong market demand for AI expertise and innovation [3][4][5]. Group 1: Company Developments - Mira Murati's new venture, Thinking Machines Lab, is launching with a valuation of $9 billion and aims to create AI solutions tailored to individual needs, although specific product details remain undisclosed [1][2]. - The "OpenAI Mafia" has already established over 30 startups since 2018, raising more than $9 billion in total funding, creating a comprehensive ecosystem that includes AI safety, infrastructure, and vertical applications [3][4]. - Notable companies include Anthropic, valued at $61.5 billion, and Ilya Sutskever's SSI, valued at $30 billion, showcasing the rapid growth and high valuations of these new entities [4][5]. Group 2: Talent Migration and Impact - A significant portion of OpenAI's talent has left, with over 45% of core technical staff opting to start their own companies, leading to a "talent explosion" that is influencing the entire Silicon Valley and potentially reshaping the global AI power structure [5][9]. - The departure of key figures, including Ilya Sutskever and other executives, has left OpenAI's core research team fragmented, with only two of the original eleven co-founders remaining [7][20]. - The trend of talent leaving OpenAI mirrors the historical "PayPal Mafia," which led to the creation of several successful companies, indicating a similar potential for the "OpenAI Mafia" [3][4]. Group 3: Market Dynamics and Competition - OpenAI is facing increasing competition from newer entrants like DeepSeek, which has developed models that rival ChatGPT at a significantly lower training cost, threatening OpenAI's market position [18][19]. - The internal conflicts and cultural shifts within OpenAI, including a focus on commercialization over exploratory research, have contributed to its challenges in maintaining innovation and attracting talent [21][22]. - The legal environment in California, which prohibits non-compete agreements, has facilitated the free movement of talent, further accelerating the growth of the "OpenAI Mafia" and the overall innovation landscape in Silicon Valley [24]. Group 4: Capital and Investment Trends - The venture capital landscape in Silicon Valley is heavily concentrated, with over 30% of U.S. venture capital flowing into the region, enabling startups to secure substantial funding even before product launches [25][27]. - The high valuations of AI startups, often exceeding $1 billion without product releases, create a competitive disadvantage for smaller teams, as they struggle to secure resources [27][28]. - The influx of capital has also led to a talent war, with top positions in startups commanding high salaries, reinforcing a cycle where larger companies dominate talent acquisition [28].