黄仁勋万字访谈：33年来每天都觉得公司要倒闭，AI竞赛无“终点线”，技术迭代才是关键

Core Viewpoint - The CEO of Nvidia, despite leading a company at the forefront of the AI revolution, expresses a persistent fear of failure, stating he feels the company is "30 days away from bankruptcy" every day [1][5]. Group 1: AI Competition and Development - Huang Renxun argues that the AI race does not have a clear endpoint and that technological progress will be gradual, with all participants evolving together rather than one achieving overwhelming dominance [2]. - He emphasizes that true competitiveness lies in the ability to iterate continuously rather than achieving one-time breakthroughs, highlighting that AI computing power has increased by 100,000 times over the past decade, focusing on cautious reasoning rather than risky actions [2]. - The past experiences of Nvidia, including near-bankruptcy moments, have shaped a unique understanding of risk and strategy, fostering a startup-like urgency within the company [3]. Group 2: AI's Impact on Jobs - Huang Renxun presents a critical insight regarding AI's potential to replace jobs, stressing the importance of distinguishing between "tasks" and "purposes." For instance, the number of radiologists has increased despite AI's advancements in radiology, as the role of a radiologist is to diagnose diseases, not merely to analyze images [4]. - He asserts that jobs focused solely on tasks may be at risk of replacement, while those that serve a higher purpose will evolve [5]. Group 3: Continuous Crisis and Energy Growth - Huang Renxun maintains a sense of urgency, stating that his fear of failure drives him more than the desire for success, which he believes fuels continuous improvement and hard work [5]. - He emphasizes the importance of energy policies in fostering economic growth, asserting that without such policies, advancements in AI and chip manufacturing would not be possible [5][21]. Group 4: AI Safety and Future Outlook - Huang Renxun believes that while AI can mimic human intelligence, it will not develop consciousness, arguing that the notion of AI suddenly achieving overwhelming capabilities is far-fetched [26][79]. - He expresses optimism about the future of AI, suggesting that advancements will lead to safer and more reliable systems, with AI becoming an integral part of everyday tasks [30][31].