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刚刚,投资机构首创的AI基准测试xbench诞生!
母基金研究中心·2025-05-26 04:12

Core Viewpoint - The rapid development of foundational models and the scaling application of AI agents have led to challenges in accurately reflecting the objective capabilities of AI systems through benchmark tests, necessitating the creation of a more scientific and sustainable evaluation system to guide AI technology breakthroughs and product iterations [1][2]. Group 1: Introduction of xbench - Sequoia China announced the launch of a new AI benchmark test called xbench, which is the first benchmark initiated by an investment institution in collaboration with top universities and research institutions, utilizing a dual-track evaluation system and evergreen evaluation mechanism [2][4]. - xbench aims to assess and enhance the capabilities of AI systems while quantifying their utility value in real-world scenarios, capturing key breakthroughs in agent products over time [2][4]. Group 2: Features of xbench - xbench employs a dual-track evaluation system that constructs a multidimensional dataset to track both the theoretical capability limits of models and the practical value of agents [4][5]. - The evaluation tasks are divided into two complementary main lines: assessing the upper limits of AI system capabilities and quantifying their utility value in real-world applications [4][6]. - An evergreen evaluation mechanism is adopted to ensure the timeliness and relevance of the testing content by continuously maintaining and dynamically updating the test materials [4][10]. Group 3: Addressing Core Issues - Sequoia China identified two core issues with existing evaluation methods: the relationship between model capabilities and actual AI utility, and the loss of comparability in AI capabilities over time due to frequent updates of test materials [6][7]. - To address these issues, xbench proposes innovative task settings and evaluation methods aligned with real-world applications, introducing a dual-track system that includes AGI tracking and profession-aligned assessments [7][8]. Group 4: Initial Assessment Sets - The first release of xbench includes two core assessment sets: xbench-ScienceQA for scientific question answering and xbench-DeepSearch for deep search capabilities, along with a comprehensive ranking of major products in these fields [8][11]. - xbench has been used internally by Sequoia China for tracking and evaluating foundational model capabilities over the past two years and is now publicly available for the AI community [8][11]. Group 5: Community Collaboration - Sequoia China encourages community collaboration in building and publishing specific industry standards for profession-aligned xbench, inviting developers and researchers to contribute to the ongoing development and maintenance of evaluation updates [11][13].