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那些超出想象的AI Agent
3 6 Ke· 2025-07-15 11:41
"公元5世纪中期,一位不知名的基督教诗人离世,而这一年恰好是某古代环境重建年表的截止年份。这个科学年表叫什么名字?" 面对如此冷门的问题,恐怕连最资深的学者都会陷入沉思。既不知道诗人姓名,又不清楚年表名称,传统搜索引擎在这里完全失灵,两 个看似毫不相关的信息点就像大海中的两粒沙子,让人无从下手。 尽管最初效果不如人意,智能体的进化速度却很快。如今,在营销、医疗等专业领域,Agent的表现甚至已超过人类水平。 就是这样让人一头雾水的难题,一款名叫WebSailor的智能体却能通过交叉验证快速锁定正确答案:诗人是 Synesius of Cyrene、科学年 表"PAGES 2k"、时间414年。 这不禁让人震惊:什么时候AI已经进化到如此程度? 要知道,就在半年前,Agent还被普遍认为是玩具属性大于工具属性。大部分产品内测名额一票难求,实际表现却频频翻车。 今天,我们一起来扒一扒上半年有哪些智能体,已经超出了我们以往的想象。 10分钟答对一套世锦赛难题 面对世锦赛级别的金融建模题,即便是经验丰富的分析师,往往也需要数小时推演验证。但如果现在告诉你,有人能在10分钟内给出准 确答案,你相信吗? 这样复杂的任务, ...
腾讯研究院AI速递 20250707
腾讯研究院· 2025-07-06 14:05
Group 1 - Grok 4 achieved a score of 45% in the "Human Last Exam" (HLE), surpassing Gemini 2.5 Pro and Claude 4 Opus, sparking discussions [1] - Elon Musk stated that Grok 4 is built on "first principles" reasoning, analyzing problems from fundamental axioms [1] - Grok 4 is expected to enhance coding capabilities and may be released in two versions: Grok 4 and Grok 4 Code, anticipated after July 4 [1] Group 2 - Gemini CLI has been updated to support audio and video input, significantly expanding its multimodal interaction capabilities, although it currently only processes text, images, and PDF files [2] - The update enhances Markdown functionality, adds table rendering and file import features, and integrates VSCodium and Neovim editors to improve the development experience [2] - The technology stack has been upgraded to Ink 6 and React 19, introducing new themes, privacy management features, and optimizing historical record compression algorithms for better performance and stability [2] Group 3 - Kunlun Wanwei launched the new Skywork-Reward-V2 series reward model, refreshing the evaluation rankings of seven mainstream reward models, with parameter scales ranging from 600 million to 8 billion [3] - The model employs a "human-machine collaboration, two-stage iteration" data selection pipeline, filtering 26 million high-quality data samples from 40 million, achieving a balance between data quality and scale [3] - Smaller parameter models demonstrate "small but powerful" capabilities, with a 1.7 billion parameter model performing close to a 70 billion model, indicating that high-quality data can effectively offset parameter scale limitations [3] Group 4 - The German company TNG has open-sourced the DeepSeek-TNG-R1T2-Chimera model, developed based on three major DeepSeek models using an innovative AoE architecture [4] - The Chimera version improves inference efficiency by 200% compared to the R1-0528 version while significantly reducing inference costs, outperforming standard R1 models in multiple mainstream tests [5] - The AoE architecture utilizes MoE's fine-grained structure to construct specific capability sub-models from the parent model through linear time complexity, optimizing performance using weight interpolation and selective merging techniques [5] Group 5 - Shortcut has become the "first Excel Agent to surpass humans," capable of solving Excel World Championship problems in 10 minutes, ten times faster than humans with over 80% accuracy [6] - The tool offers near-perfect compatibility with Excel, handling complex financial modeling, data analysis, and visualization, even creating pixel art images [6] - Currently in early preview, users can log in with Google accounts for three free trial opportunities, though it has limitations in formatting capabilities, long dialogue performance, and handling complex data [6] Group 6 - Shanghai AI Lab, in collaboration with multiple organizations, launched the Sekai high-quality video dataset project, covering over 5,000 hours of first-person video from 750+ cities across 101 countries [7] - The dataset is divided into real-world Sekai-Real and virtual scene Sekai-Game parts, featuring multi-dimensional labels such as text descriptions, locations, and weather, with a curated 300-hour high-quality subset Sekai-Real-HQ [7] - An interactive video world exploration model, Yume, was trained based on the Sekai data, supporting mouse and keyboard control for video generation, aiding research in world generation, video understanding, and prediction [7] Group 7 - ChatGPT identified a long-standing medical issue as the MTHFR A1298C gene mutation, generating discussions on Reddit and being referred to as a "Go moment" in the medical field [8] - Microsoft's medical AI system MAI-DxO achieved an accuracy rate of 85% in diagnosing complex cases from NEJM, outperforming experienced doctors by more than four times at a lower cost [8] - Medical AI is evolving into a comprehensive solution from search to diagnosis, potentially transforming healthcare models and reducing ineffective medical expenditures [8] Group 8 - "Context Engineering" has gained popularity in Silicon Valley, supported by figures like Karpathy, and is seen as a key factor for the success of AI agents, replacing prompt engineering [9] - Unlike prompt engineering, which focuses on single texts, context engineering emphasizes providing LLMs with a complete system, including instructions, history, long-term memory, retrieval information, and available tools [9] - Context engineering is both a science and an art, focusing on providing appropriate information and tools for tasks, with many agent failures attributed to context rather than model issues, highlighting the importance of timely information delivery [9] Group 9 - Generative AI is reshaping market research, transitioning it from a lagging, one-time input to a continuous dynamic competitive advantage, with traditional research spending of $140 billion shifting towards AI software [10] - AI-native companies are utilizing "generative agent" technology to create "virtual societies," simulating real user behavior without recruiting real human samples, fundamentally reducing costs and enabling real-time research [10] - Successful market research AI does not require 100% accuracy; CMOs believe that 70% accuracy combined with faster speed and real-time updates offers more commercial value than traditional methods, emphasizing rapid market entry and deep integration over perfect accuracy [10] Group 10 - The core challenge of enterprise-level AI product entrepreneurship lies in transitioning from impressive demonstrations to practical products, addressing unpredictable user behavior and data chaos in real environments [11] - AI companies are growing at a rate far exceeding traditional SaaS firms, with top AI companies achieving annual growth rates exceeding ten times, driven by changes in enterprise purchasing behavior and AI's direct replacement of human budgets [11] - Establishing lasting competitive barriers is crucial, which can be achieved by becoming a source of data authority (SoR), creating workflow lock-in, deep vertical integration, and solidifying customer relationships [11]
10分钟搞定Excel世锦赛难题!首个超越人类Excel Agent,网友:想给它磕一个
机器之心· 2025-07-04 02:36
Core Viewpoint - The article discusses the introduction of an AI tool named Shortcut, which claims to be the first Excel agent that surpasses human capabilities in handling Excel tasks, significantly improving efficiency and accuracy in data processing [3][27]. Group 1: AI Tool Features - Shortcut can complete most Excel-related tasks in about 10 minutes with an accuracy rate exceeding 80%, making it ten times faster than humans [3]. - The tool is compatible with Excel, allowing users to edit, import, and export files, and it can handle complex financial modeling tasks [4][26]. - It can generate visual representations such as charts and dashboards from large datasets, although it may struggle with overly complex data [6][26]. Group 2: User Experience - Users can interact with Shortcut through a chat interface, where they can input prompts to direct the AI in performing tasks [11][24]. - The tool has been tested for its ability to analyze exam scores from various AI models, successfully calculating total scores and performance percentages [13][16]. - Despite its capabilities, Shortcut has faced operational challenges due to high demand during its early access phase, leading to temporary service interruptions [22][27]. Group 3: Market Potential - The complexity and error-prone nature of traditional Excel create significant opportunities for AI tools like Shortcut, which aim to simplify data processing tasks for users [27]. - The article highlights the potential for growth in the market for specialized AI agents that can handle Excel tasks, indicating a shift towards automation in data management [27].