Group 1 - OpenAI CEO Sam Altman urged business leaders to take immediate action in the rapidly evolving AI landscape, emphasizing that waiting for technology to stabilize is no longer a wise choice [1] - Altman highlighted that the success of companies in the AI field depends on their speed of iteration, stating that those who can quickly iterate and minimize the cost of mistakes will be the ultimate winners [1] - Snowflake CEO Sridhar Ramaswamy echoed this sentiment, calling for a curious embrace of AI rather than a cautious approach, warning that traditional assumptions are no longer applicable as AI reshapes the rules [1] Group 2 - Altman revealed that the reliability of AI models has significantly improved over the past year, leading to rapid growth in OpenAI's enterprise business, with large companies discovering that AI can accomplish many previously deemed impossible tasks [1] - Ramaswamy emphasized that context and computational power are key to enhancing reliability, stating that "retrieval" and "memory" are no longer hollow terms but foundational infrastructure [2] - Altman used OpenAI's newly launched coding agent Codex as an example, describing it as a tool that feels like the essence of AGI, currently functioning like an intern but potentially evolving into a senior software engineer [2] Group 3 - Altman did not provide a clear timeline for achieving Artificial General Intelligence (AGI), but noted that AI capabilities are growing at a "shockingly smooth exponential curve" [3] - Ramaswamy compared the definition of AGI to whether a submarine can "swim," indicating that as the definition of AGI evolves, the goals have also shifted [3] - Both leaders expressed that if they had 1000 times the computational power, they would use it for AI research or to decode RNA expression to revolutionize disease treatment, showcasing AI's potential in scientific discovery [4]
OpenAI CEO 奥尔特曼示警,AI 时代企业不行动就出局