知情人士称，Silver 正在伦敦创办一家名为 Ineffable Intelligence 的新公司。该公司目前正在积极招聘人工智能研究人员，并寻求风险投资。 Google DeepMind 已于本月初向员工宣布了 Silver 的离职消息。Silver 在离职前的几个月里一直处于休假状态，并未正式返回 DeepMind 工作岗位。 Google DeepMind 的一位发言人在电子邮件声明中证实了 Silver 离职的信息，表示：「Dave 的贡献是无价的，我们非常感谢他对 Google DeepMind 工 作所做出的贡献。」 编辑 | 泽南 又一位 AI 大佬决定创业，这位更是重量级。 《财富》等媒体本周五报道说，在 Google DeepMind 众多著名突破性研究中发挥关键作用的知名研究员 David Silver 已离开公司，创办了自己的初创公 司。 根据英国公司注册处 Companies House 的文件显示，Ineffable Intelligence 公司成立于 2025 年 11 月，Silver 于今年 1 月 16 日被任命为该公司董 事。 此外，Silver 的个人网页现在将他的 ...

梦晨 发自 凹非寺 量子位 | 公众号 QbitAI 强化学习大神David Silver ，离开DeepMind了。 这位在DeepMind待了整整15年的元老级研究员已经出走，创办自己的AI公司 Ineffable Intelligence 。 根据注册文件显示，这家公司早在2025年11月就已悄然成立，Silver本人于2026年1月16日被正式任命为公司董事。 在正式离职DeepMind前的几个月里，他也一直处于休假状态。 Ineffable Intelligence总部设在伦敦，目前正在积极招募AI研究人才并寻求风险投资。 Google DeepMind的发言人证实了Silver的离职，并对其在职期间的贡献表示感谢。 除了在谷歌 DeepMind 的工作之外，Silver还是伦敦大学学院的教授，他将继续保持这一职务。 他于2010年公司成立之初便加入，彼时DeepMind还只是一个小团队，Silver和Demis Hassabis在剑桥读大学时是老朋友，他们还一同创办 过游戏公司Elixir Studios。 2016年，他领导开发的AlphaGo击败围棋世界冠军李世石，成为AI发展史上的标志性事件 ...

Core Insights - The public's perception of AI is significantly lagging behind its actual advancements, with a gap of at least one generation [2][5][41] - AI is evolving at an exponential rate, with predictions indicating that by mid-2026, AI models could autonomously complete tasks for up to 8 hours, potentially surpassing human experts in various fields by 2027 [9][33][43] Group 1: AI Progress and Public Perception - Researchers have observed that AI can now independently complete complex tasks for several hours, contrary to the public's focus on its mistakes [2][5] - Julian Schrittwieser, a key figure in AI development, argues that the current public discourse underestimates AI's capabilities and progress [5][41] - The METR study indicates that AI models are achieving a 50% success rate in software engineering tasks lasting about one hour, with an exponential growth trend observed every seven months [6][9] Group 2: Cross-Industry Evaluation - The OpenAI GDPval study assessed AI performance across 44 professions and 9 industries, revealing that AI models are nearing human-level performance [12][20] - Claude Opus 4.1 has shown superior performance compared to GPT-5 in various tasks, indicating that AI is not just a theoretical concept but is increasingly applicable in real-world scenarios [19][20] - The evaluation results suggest that AI is approaching the average level of human experts, with implications for various sectors including law, finance, and healthcare [20][25] Group 3: Future Predictions and Implications - By the end of 2026, it is anticipated that AI models will perform at the level of human experts in multiple industry tasks, with the potential to frequently exceed expert performance in specific areas by 2027 [33][39] - The envisioned future includes a collaborative environment where humans work alongside AI, enhancing productivity significantly rather than leading to mass unemployment [36][39] - The potential transformation of industries due to AI advancements is profound, with the possibility of AI becoming a powerful tool rather than a competitor [39][40]