Core Viewpoint - The article discusses concerns about AI's role as a writing tool, suggesting it may lead to a "homogenization revolution" that affects writing styles and original thinking, potentially resulting in a degree of uniformity in language expression [1] Group 1: Historical Context and Perspectives - Historical concerns about new technologies impacting human cognition are echoed in the current discourse on AI, with past technologies like writing and the internet facing similar scrutiny [4] - These historical worries have often proven unfounded, as technology has generally enhanced human productivity and civilization rather than diminished it [4][5] - The article emphasizes that the influence of technology is not linear; human society adapts and interacts dynamically with technological advancements [5] Group 2: AI's Role in Society - AI is positioned as a tool that can elevate societal intelligence levels rather than merely contributing to mediocrity [9][10] - Generative AI bridges the gap between knowledge and tools, making creative capabilities more accessible to the general public at a low marginal cost [11] - AI's capabilities in multimodal creation significantly lower the barriers for individuals to produce high-quality creative works, transforming the creative landscape [12] Group 3: The Impact on Creativity and Standards - AI sets a higher baseline for societal intelligence, allowing even educated individuals to expand their cognitive boundaries and enhance their creative outputs [13] - The overall elevation of societal intelligence may lead to a more discerning public that demands higher quality content, thereby pushing creators to produce more innovative and emotionally resonant works [14] - The emergence of a vibrant grassroots creative ecosystem is noted, where ordinary users leverage AI tools to create works that sometimes surpass official versions [14][15] Group 4: Human-AI Collaboration - The relationship between humans and AI is evolving from a tool-based interaction to a partnership, where humans guide and collaborate with AI to achieve superior outcomes [18][19] - The ideal human-AI relationship emphasizes human agency in setting goals and providing unique insights, while AI serves as an efficient information processor [19] - Maintaining human subjectivity and critical thinking is crucial in the interaction with AI to avoid becoming overly reliant on its outputs [21]

大模型浪潮席卷全球，我们正站在技术范式颠覆的临界点。智能不再仅仅是工具，更是驱动产业进化的新基因。"智能+"除了技术嫁接，还是认知革命和 生态重构，其本质是给千行百业植入新时代的基因。 中国智能经济正处于爆发前夜。我们不仅要厘清加什么（新认知、新数据、新技术），还要解决怎么加（云上智能、数字信任、π型人才、全员参与、机 制重构）的问题，方能迎来产业升级的奇点。 一、加什么？ +新认知：拥抱范式革命、厘清边界、既有信心又有耐心 智能+的核心，是一场认知变革。我们看到，各行业的管理层普遍对这一波人工智能变革有很强的动力，无论是相关政策导向，还是自媒体铺天盖地的文 章，都让管理层感到了技术加速进步带来的兴奋，以及错失机遇或被技术颠覆的变革焦虑。在近期研究院组织的AI+调研中，大量企业都选择了"AI是大 趋势，担心不变革就落后时代了 "，可见有不少企业都存在FOMO（ 担心错 失）心理。 在面对人工智能的态度上，也出现了较为典型的两种矛盾心理。一方面，企业高层对于上马AI非常迫切，希望快出应用、快见效果。有的企业一把手强 力推动大模型专项，每周听一次专题汇报，每季度迭代一版行业大模型，对应用前景充满希望。另一方面，有 ...

王强 腾讯研究院前沿科技研究中心主任 白惠天 腾讯研究院高级研究员 大模型浪潮席卷全球，我们正站在技术范式颠覆的临界点。智能不再仅仅是工具，更是驱动产业进化的 新基因。"智能+"除了技术嫁接，还是认知革命和生态重构，其本质是给千行百业植入新时代的基因。 智能+，是从依靠人的经验决策，升级到人机共同协作。不是靠AI来打造新工具，而是用AI来实现人与 人、人与机器的新合作。 人类擅长直觉判断、伦理权衡和创新突破，而AI强于海量数据分析、模式识别 与全时响应。如医疗领域，AI可快速筛查影像数据并标记异常，但最终诊断仍需医生结合临床经验与患 者个体情况综合判断。这种分工并非简单辅助，而是重构决策链条——人类聚焦战略层 （如价值观校准、 复杂问题定义等） ，AI执行战术层 （数据挖掘、方案生成等） 。未来，决策的终极形态不是机器替代人类，而 是人类驾驭机器的规模化智能。当医生在AI辅助下挽救更多生命、管理者借力AI数据透视商业迷局时， 人机协同将不仅是工具升级，更是认知边界的拓展。 智能+，是从追求确定性思维，转向不确定性下的动态持续优化。 随着大模型能力的不断升级，带来了 应用深度的渐次解锁。第一波以ChatGPT为 ...