Jensen Huang is the co-founder and CEO of NVIDIA, the world's most valuable company and the engine powering the AI computing revolution.
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I laughed at some of Jensen's responses because you can see he's clearly advocating for a future where people become more adept at using AI. In other words, he wants more people to become viable nvidia customers. 😂
Much more interesting than the big presentations he does at events. I like the ones at events the first few times but after awhile it ends up being the same and only appeals to big companies
For me, a fellow former dishwasher and someone who tried to start businesses, this was a very informative and inspirational video. I wish I had heard this 30 years ago!
i was in the middle typing a suggestion for evolving with ai in order to not suffer from job loss but Jensen and Lex stated my exact suggestion thanks for the time saved=)
This is a business man that deserves everything he gets. A master orchestra leader. Consider that he operates with consideration, informing and directing customers, suppliers and even customers of customers.
He operates by consensus and inclusion. Planning is ' ready, aim, fire instead of the reverse.
There are many so-called business men that dictate with principles 180° from Jensen Huang. If you win i lose, etc. One particular one comes to mind.
I respectfully disagree. Jensen himself admits that the odds of agents building a company of Nvidia's complexity are 0%. If a system cannot replicate the multi-disciplinary, long-term strategic reasoning required to build a complex hardware-software ecosystem like Nvidia, it suggests we are still in the era of "Narrow" or "Task-Oriented" AI, rather than "General" AI.
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See below for timestamps, transcript, and to give feedback, submit questions, contact Lex, etc.
0:00 - Introduction
0:33 - Extreme co-design and rack-scale engineering
3:18 - How Jensen runs NVIDIA
22:40 - AI scaling laws
37:40 - Biggest blockers to AI scaling laws
39:23 - Supply chain
41:18 - Memory
47:24 - Power
52:43 - Elon and Colossus
56:11 - Jensen's approach to engineering and leadership
1:01:37 - China
1:09:50 - TSMC and Taiwan
1:15:04 - NVIDIA's moat
1:20:41 - AI data centers in space
1:24:30 - Will NVIDIA be worth $10 trillion?
1:34:39 - Leadership under pressure
1:48:25 - Video games
1:55:16 - AGI timeline
1:57:29 - Future of programming
2:11:01 - Consciousness
2:17:22 - Mortality
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EPISODE LINKS:
NVIDIA: nvidia.com/
NVIDIA on X: x.com/nvidia
NVIDIA AI on X: x.com/NVIDIAAI
NVIDIA on YouTube: youtube.com/@nvi
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He operates by consensus and inclusion. Planning is ' ready, aim, fire instead of the reverse.
There are many so-called business men that dictate with principles 180° from Jensen Huang. If you win i lose, etc. One particular one comes to mind.
Be like Jensen.
01:12 探讨极端协同设计（Extreme Co-design）的必要性，即通过芯片、系统、网络和软件的全栈优化来解决单卡无法承载的大规模计算问题。
10:42 回顾CUDA在GeForce上普及的战略决策，强调了庞大的装机量（Install Base）是构建计算平台生态和吸引开发者的关键。
23:16 详细解析AI扩展定律的四个阶段：预训练、后训练、推理时（Test-time）和智能体扩展，并指出计算能力是驱动智能进步的核心。
56:43 阐述NVIDIA的“光速”（Speed of Light）设计哲学，即从物理极限和第一性原理出发进行工程设计，而非简单的渐进式改进。
01:02:05 分析中国技术行业快速创新的深层原因，包括顶尖的人才储备、激烈的内部竞争以及高度协同的开源文化。
01:07:30 NVIDIA开源AI模型的愿景：旨在让AI扩散到每个行业和国家，通过开源权重和数据激活全球研究者与学生的创新能力。
01:10:55 台积电成功的核心因素：除了领先的晶体管技术，更在于其协调全球复杂动态需求的能力，以及在技术前沿与客户服务之间达成的平衡。
01:15:27 NVIDIA最核心的竞争优势：CUDA庞大的装机量、深厚的开发者生态系统，以及在构建极其复杂系统时的极高执行速度。
01:25:10 计算模式的根本转变：从传统的预录制文件检索系统转变为实时的生成式AI系统，计算机已从存储工具演变为产生收入的“工厂”。
01:37:50 应对压力与保持韧性的方法：通过分解复杂问题使其变得可管理，并保持“这能有多难”的初学者心态来面对未知的挑战。
01:58:40 AI对就业的影响：AI不会取代职业，而是自动化特定任务。编程的定义将扩大到通过自然语言描述规范，从而提升所有专业领域的价值。
02:13:34 黄仁勋探讨了智能的定义，将其视为包含感知、理解和推理的功能性系统，并强调应将智能与包含同情心和品格的“人性”区分开。
02:14:20 他认为智能正在成为一种普适的“商品”，人工智能的民主化不应带来焦虑，而应被视为提升人类能力的强大工具。
02:18:31 在谈到公司治理时，黄仁勋表示他不相信传统的接班人计划，而是致力于通过持续分享知识和推理过程来实时赋能身边的团队。
02:22:03 黄仁勋对人类的潜力充满信心，并预言未来人类有望在治愈疾病、减少污染及理解“生物机器”奥秘方面取得重大突破。
See below for timestamps, transcript, and to give feedback, submit questions, contact Lex, etc.
0:00 - Introduction
0:33 - Extreme co-design and rack-scale engineering
3:18 - How Jensen runs NVIDIA
22:40 - AI scaling laws
37:40 - Biggest blockers to AI scaling laws
39:23 - Supply chain
41:18 - Memory
47:24 - Power
52:43 - Elon and Colossus
56:11 - Jensen's approach to engineering and leadership
1:01:37 - China
1:09:50 - TSMC and Taiwan
1:15:04 - NVIDIA's moat
1:20:41 - AI data centers in space
1:24:30 - Will NVIDIA be worth $10 trillion?
1:34:39 - Leadership under pressure
1:48:25 - Video games
1:55:16 - AGI timeline
1:57:29 - Future of programming
2:11:01 - Consciousness
2:17:22 - Mortality
Transcript:
lexfridman.com/jensen-huang-transcript
CONTACT LEX:
Feedback - give feedback to Lex: lexfridman.com/survey
AMA - submit questions, videos or call-in: lexfridman.com/ama
Hiring - join our team: lexfridman.com/hiring
Other - other ways to get in touch: lexfridman.com/contact
EPISODE LINKS:
NVIDIA: nvidia.com/
NVIDIA on X: x.com/nvidia
NVIDIA AI on X: x.com/NVIDIAAI
NVIDIA on YouTube: youtube.com/@nvi