吴恩达：图灵测试不够用了，我会设计一个AGI专用版

Core Viewpoint - The article discusses Andrew Ng's announcement of a new Turing test, termed the Turing-AGI test, aimed at evaluating Artificial General Intelligence (AGI) capabilities in a more practical and economically relevant manner [1][8][30]. Group 1: Turing-AGI Test Concept - The Turing-AGI test is designed specifically for AGI, addressing the inadequacies of the traditional Turing test which primarily focused on human-machine dialogue [2][10]. - The new test aims to measure AI's ability to perform knowledge-based work tasks, reflecting a more comprehensive definition of intelligence [14][19]. - Participants in the test will include AI systems or professionals, who will be tasked with real-world scenarios, such as customer service, requiring them to provide ongoing feedback [15][17]. Group 2: Industry Context and Trends - 2025 is anticipated to mark the beginning of the AI industrial era, with significant advancements in model performance and AI-driven applications becoming essential [4][5]. - The competition for top talent in the AI sector is intensifying, driven by the rapid development of AGI concepts in both academia and industry [6][5]. - Current benchmark tests often mislead the public by overestimating AI capabilities, as they are based on predetermined test sets that do not reflect real-world performance [7][20][21]. Group 3: Implications of the Turing-AGI Test - The Turing-AGI test will allow judges to create arbitrary tasks, enhancing the assessment of AI's general capabilities compared to fixed benchmark tests [28]. - Ng suggests that hosting a Turing-AGI test could help calibrate societal expectations of AI, potentially reducing hype around AGI while focusing on practical advancements [29][30]. - The test could set clear goals for AI teams, moving away from vague aspirations of achieving human-level intelligence [31].