（原标题：陈春花：我们正站在AI时代的路口） 在数字化时代，软件被视为工具：用于记账、统计、管理流程、提高效率。 而在AI时代，软件的本质正在发生变化：软件，本质上是事物运行规律的代码化表达。 认知世界的路径正在被重写：运行规律化→规律模型化→模型算法化→算法代码化→代码软件化 过去的软件，依赖人类把规则"想清楚、写进去"；而AI原生软件，是让机器从数据中学习规律，再自动 生成规则与代码。这意味着：代码不再是起点，而是结果；系统不再固化规则，而是持续学习、持续进 化。 企业如果仍然用"人工写规则+固定流程"的方式建设系统，本质上已经落后于时代。 过去十多年，企业完成了一轮以"数字化"为核心的转型：上线系统、沉淀数据、流程在线、管理可视。 但今天，越来越多的企业发现，仅靠数字化，已经难以应对高度不确定、复杂且快速变化的环境。 AI时代并不是数字化的自然延伸，而是一种对世界认知方式的根本变化。企业正在从"用系统记录世 界"，走向"用模型理解世界、预测世界、重构决策"。 写这篇文章就是尝试系统回答两个问题：企业在AI时代，需要完成怎样的认知升级？从认知到行动， 企业到底该做什么？ 一、重新理解软件：从工具到"世界规 ...

Core Insights - OpenAI's CEO Sam Altman expresses concerns about competition, particularly from Google, which he views as a significant threat to OpenAI's market position [2][11] - Altman emphasizes the importance of user retention and the development of "AI-native software" rather than merely integrating AI into existing products [2][12] - OpenAI is focusing on creating a comprehensive product ecosystem that enhances user experience through personalization and memory capabilities [9][10] Group 1: Competition and Market Position - Altman acknowledges that OpenAI is in a "red alert" state due to increasing competition, particularly after the release of Google's Gemini 3, but believes the impact has not been as severe as initially feared [5][6] - He notes that while Google has a strong distribution advantage, OpenAI's user base has grown significantly, reaching nearly 9 million users, which provides a competitive edge [3][8] - Altman believes that maintaining a slight paranoia about competition is beneficial for OpenAI's strategy and product development [6][7] Group 2: Product Development and Strategy - OpenAI is not rushing to release GPT-6; instead, it plans to focus on customized upgrades that cater to specific user needs, with significant improvements expected in early 2024 [36][37] - The company aims to build the best models and products while ensuring sufficient infrastructure to support large-scale services [8][9] - Altman highlights the importance of creating a cohesive product ecosystem that integrates various functionalities, making it easier for users to adopt and rely on OpenAI's offerings [10][24] Group 3: Enterprise Market Focus - OpenAI's strategy has shifted towards prioritizing enterprise solutions, as the technology has matured enough to meet business needs [27][28] - The company has seen rapid growth in its enterprise segment, with increasing demand for AI platforms from businesses [28][29] - Altman emphasizes that the enterprise market is ready for AI integration, particularly in areas like finance and customer support [29][30] Group 4: Infrastructure and Financial Outlook - OpenAI has committed approximately $1.4 trillion to build its infrastructure, which is essential for supporting its AI capabilities and future growth [39][48] - The company anticipates that as revenue grows, the cost of inference will eventually surpass training costs, leading to profitability [48][49] - Altman acknowledges that while current spending is high, the long-term vision is to create a sustainable business model that leverages AI advancements [50][51]