以下是上述内容的中文翻译： 这篇对英伟达（NVIDIA）首席执行官黄仁勋（Jensen Huang）的广泛采访涵盖了从公司历史到人工智能的未来及其对社会的影响等诸多话题。 黄仁勋回顾了英伟达的早期，回忆起公司早在2016年就向OpenAI交付了第一台超级计算机。 他讨论了深度学习给计算机科学带来的范式转变，强调需要全新的计算机架构，专门用于处理AI所需的海量数据集和复杂算法。 他强调了人工智能对计算力的巨大需求，解释说像GPT-3这样拥有1750亿个参数的模型需要整个数据中心才能有效运行。 这种复杂性需要对计算机设计进行彻底的重新思考，从处理器到网络互联。 黄仁勋谈到了收购Mellanox，这是一个增强计算机互联互通，并使数百万个GPU内核协同工作的关键举措。 随后，他解释了多模态的概念，以及GTP-4如何能够从语言和图像中学习，他用马和斑马的例子来阐明，能够将你熟知的事物与被描述的事物进行比较，使你能够以不了解两者的方式来使用你的知识。 黄仁勋断言，人工智能正迎来其“iPhone时刻”，实现计算机编程的普及，并缩小技术鸿沟。 他认为编程的门槛已经降低，使数十亿人能够参与和贡献。 他预测，随着人工智能自动化日常任务，并赋予个人访问大量信息的能力，知识型职业的生产力将得到显著提高。 采访转到人工智能的社会影响，预测一场由智能生产驱动的新工业革命。 他承认一些工作岗位将被取代，但也会出现新的角色。 他预计，气候变化研究和药物发现将是未来五到十年内受人工智能深刻影响的两个领域。 他预见人工智能将促进具有特定功能的蛋白质的工程设计，并加速药物发现过程。 他谈到了围绕人工智能的伦理问题，承认其潜在的滥用，并强调需要监管。 黄仁勋支持政府对人工智能的监督，将其与对其他潜在有害技术的监管相提并论。 他对人工智能生成虚假新闻及其破坏稳定效应的可能性表示担忧。 他说，将所有这些权力交到某个团体手中是很危险的，因此应努力普及人工智能的使用。 他深入探讨了促成英伟达成功的特性。 黄仁勋将公司的韧性和敏捷性归因于其历史上所面临的众多挑战。 他强调了前瞻性愿景、学习意愿以及公司内部人员品格的重要性。 他谈到企业文化的重要性，这种文化不能通过文件上的文字来捕捉，而需要通过为公司工作的人们来生活和呼吸。 他重申了在克服障碍时，独创性、韧性和意志力的重要性。 他描述了自己的家庭教育，很难阻止或分散他们。 最后，黄仁勋分享了他对年轻人的建议，提倡从第一性原理思考，而不是依赖他人的建议。 他鼓励他们爱上自己所做的事情，而不是寻找爱的东西，因为这会培养更深的承诺和对卓越的热情。 他描述了他如何爱上了他所从事的每一份工作。 采访最后，黄仁勋强调了人工智能重塑世界的潜力，以及他个人对世界产生了如此巨大的改变。

This wide-ranging interview with Jensen Huang, CEO of NVIDIA, covers a multitude of topics from the company's history to the future of artificial intelligence and its impact on society. Huang reflects on NVIDIA's early days, recalling how the company delivered the first supercomputer to OpenAI back in 2016. He discusses the paradigm shift in computer science brought about by deep learning, highlighting the need for entirely new computer architectures tailored to handle the massive data sets and complex algorithms required for AI. He stresses the immense computational demands of AI, explaining that models like GPT-3, with its 175 billion parameters, require entire data centers to run effectively. This complexity necessitated a complete rethinking of computer design, from processors to networking. Huang discusses the acquisition of Mellanox, a pivotal move to enhance computer interconnectivity and enable millions of GPU cores to work in tandem. He then explains the concept of multimodality and how GTP-4 is able to learn from language and images, giving the example of horses and zebras to clarify that having the ability to compare one thing you know well with something that has been described allows you to use your knowledge in ways that you couldn't if you didn't know both. Huang asserts that AI is reaching its "iPhone moment," democratizing computer programming and closing the technology divide. He believes that the barrier to programming has been reduced, allowing billions of people to participate and contribute. He predicts a significant boost to productivity across knowledge-based professions, as AI automates mundane tasks and empowers individuals with access to vast amounts of information. The interview shifts to the societal implications of AI, forecasting a new industrial revolution driven by the production of intelligence itself. He acknowledges that some jobs will be displaced while new roles will emerge. He anticipates that climate change research and drug discovery will be two areas profoundly impacted by AI in the next five to ten years. He foresees AI facilitating the engineering of proteins with specific functions, as well as accelerating the drug discovery process. He addresses the ethical concerns surrounding AI, acknowledging the potential for misuse and emphasizing the need for regulation. Huang supports governmental oversight of AI, drawing parallels to the regulation of other potentially harmful technologies. He expresses concerns about the potential for AI-generated fake news and its destabilizing effects. He says that putting all of that power into the hands of one group is dangerous, so efforts should be made to democratize access to AI. He delves into the characteristics that have contributed to NVIDIA's success. Huang attributes the company's resilience and agility to the numerous challenges it has faced throughout its history. He emphasizes the importance of a forward-looking vision, a willingness to learn, and the character of the people within the company. He speaks of the importance of the corporate culture and that that culture cannot be captured in words on a document but needs to be lived and breathed through the people who work for the company. He reiterates the importance of ingenuity, tenacity, and willpower in overcoming obstacles. He describes his upbringing in a family where it was hard to discourage them or distract them. Finally, Huang shares his advice for young people, advocating for thinking from first principles and not relying on the advice of others. He encourages them to fall in love with what they do, rather than seeking out something to love, as this fosters a deeper commitment and passion for excellence. He describes how he's been in love with every single job he's ever had. The interview concludes with Huang emphasizing the potential for AI to reshape the world and that he has personally changed the world to such a great extent.