SaaS 已死数据底座永生，一个解决 AI 真实数据问题的产品融了 6000 多万美金

Group 1 - The core viewpoint of the article is that the emergence of AI large models may lead to the unification of fragmented information, potentially ending the current flourishing state of SaaS [1] - AI is seen as a horizontal enabling layer, similar to electricity, capable of improving and integrating into various applications [1] - The concept of AGI (Artificial General Intelligence) is expected to reach a functional milestone by 2026, focusing on AI's problem-solving capabilities rather than strict technical definitions [2] Group 2 - The article discusses the transition from conversational AI to long-horizon agents that can perform tasks like colleagues, with AI's ability to complete long tasks doubling approximately every seven months [2] - The future software ecosystem is compared to computer memory hierarchies, where AI agents act as fast memory, while traditional software serves as a source of facts and long-term storage [5][6] - The rise of AI agents will challenge human-centric software, as AI can directly handle data without the need for complex graphical user interfaces [8] Group 3 - Metrics for evaluating software will depreciate, as traditional standards like faster workflows and better UI will lose significance in an AI-driven environment [8] - APIs that provide persistent information will become highly valuable, shifting software from serving humans to serving AI agents [9] - The demand for high-quality, legally usable real-world data is becoming critical for AI's evolution, as evidenced by significant funding for infrastructure products that address this need [10]