自 ChatGPT 问世以来，美中两国科技巨头投入数千亿美元竞争开发先进人工智慧，并将实现通用人工智慧（AGI）列为核心战略目标。然而，产学界对 AGI 的定义至今仍未达成共识，OpenAI 强调经济实用价值，Google DeepMind 侧重多功能性与少样本学习，而 ARC Prize 则关注系统在训练资料外高效获取新技能的能力，各种相互歧异的标准导致业界对当前技术进展的评估产生极大分歧。
围绕 AGI 的潜在影响引发了巨大的战略与安全担忧。支持者认为 AGI 能引发智慧爆炸并加速医疗与科学突破，而智库兰德公司等研究则警示其可能在网路战、自主武器和监控方面颠覆全球地缘政治与军事平衡。与此同时，包括美中主要科技公司（如 OpenAI、DeepMind、Meta、阿里巴巴与深度求索 DeepSeek）正加速推进该领域研发，使 AGI 成为牵动国家安全与经济竞争的核心赛道。
尽管业界高度吹捧，许多科学家与怀疑论者仍对当前大型语言模型实现 AGI 持审慎态度。批评者指出，现有系统本质上仍是不具备真实理解力的统计模仿工具，缺乏实体经验、长久记忆和高阶规划能力，甚至经常在常识任务中犯错或捏造事实。此外，包括 Demis Hassabis 等资深专家警告短期内实现 AGI 的预测过于乐观，许多乐观进度仅是因业界不断放宽与稀释 AGI 的定义标准所致。
Since the launch of ChatGPT, tech giants in the US and China have poured hundreds of billions of dollars into competing for advanced artificial intelligence, elevating the pursuit of artificial general intelligence (AGI) to a core strategic objective. However, academia and industry still lack a unified definition for AGI; while OpenAI emphasizes performance on economically valuable tasks, Google DeepMind stresses versatility and few-shot skill acquisition, and the ARC Prize prioritizes learning beyond training data, leading to widely divergent assessments of technological readiness.
The potential stakes surrounding AGI have sparked serious strategic and national security debates. Proponents foresee an intelligence explosion that could rapidly accelerate medicine and scientific progress, whereas studies such as one by the RAND Corporation warn of severe disruptions to cyberwarfare, autonomous weapons, and the global balance of power. Consequently, major American and Chinese technology firms—including OpenAI, DeepMind, Meta, Alibaba, and DeepSeek—are fiercely pursuing this capability as an essential frontier of technological and geopolitical dominance.
Despite intense industry hype, prominent scientists and skeptics remain deeply doubtful that simply scaling current large language models will lead to genuine AGI. Critics emphasize that modern architectures operate merely as statistical mimics lacking true comprehension, persistent memory, physical grounding, and hierarchical planning, often hallucinating or stumbling over simple tasks. Furthermore, experts like Demis Hassabis caution that near-term projections are unrealistic and largely driven by marketing-driven watering down of what actually constitutes AGI.