NVIDIA CEO Jensen Huang's Vision for the Future
Video Overview & Insights
What NVIDIA is trying to build next…
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You're probably hearing a lot about AI, DeepSeek, NVIDIA and more right now. If you want the big picture (and to start from the beginning), watch this Huge Conversation with NVIDIA CEO Jensen Huang.
Say what you will NVIDIA will be one of the MOST DOMINANT companies in AI & Tech in the next several decades.
In the last few years, NVIDIA has skyrocketed to become one of the world's most valuable companies. That's because, beginning in the 90s, they led a fundamental shift in how computers work, now unleashing the current explosion of what’s possible with technology.
A huge amount of the most futuristic tech you’re hearing about - in AI, robotics, gaming, self-driving cars, breakthrough medical research - relies on new chips and software designed by him and his company.
精彩要點 by TubeLens:
04:15 NVIDIA 創立的核心洞察：軟體程式中僅 10% 的程式碼執行了 99% 的運算，且這 99% 可以平行處理；因此理想的電腦必須同時具備序列與平行處理能力，這正是 GPU 誕生的根本原因。
05:30 NVIDIA 選擇電玩遊戲作為切入市場，一方面是因為 3D 繪圖天然需要平行運算，另一方面是預見遊戲將成為史上最大的娛樂市場——龐大市場規模帶來充裕的研發預算，形成技術與市場互相驅動的飛輪效應。
08:29 CUDA 平台的誕生結合了內部需求（讓 GPU 處理粒子物理與流體動力學）與外部啟發（麻省總醫院研究人員將 GPU 用於 CT 影像重建），讓更多人能以熟悉的程式語言（如 C 語言）直接驅動 GPU 的平行運算能力。
11:04 2012 年 AlexNet 的出現是決定性轉捩點：Hinton 團隊使用 NVIDIA GPU 與 CUDA 訓練神經網路，圖像辨識準確率大幅領先競爭對手，讓黃仁勳確信深度學習架構具備無限擴展潛力，並決定從底層重新設計整個運算堆疊（催生了 DGX 系統）。
23:07 黃仁勳認為未來十年是 AI 的「應用科學時代」：過去十年奠定了 AI 的基礎科學，接下來重點將轉向如何將 AI 應用於數位生物學、氣候科技、農業、機器人、交通物流與教育等真實產業。
25:11 物理 AI 與機器人的大躍進：透過 Omniverse（物理模擬器）與 Cosmos（世界基礎模型）的結合，機器人得以在數位世界中以無限情境快速學習，就如同 ChatGPT 以 PDF 為基礎進行語境錨定一樣——黃仁勳預言「一切會移動的東西終將機器人化，且即將到來」。
55:41 黃仁勳給所有人的建議：立刻找一個 AI 家教，並學習如何有效提示 AI；就如同他那一代人必須學會如何用電腦完成工作，現在每個人都必須問自己「如何用 AI 把工作做得更好」，這是橫跨所有職業的普世問題。
During the dozens of background interviews I did to prepare for this, what struck me most was how much Jensen Huang has already influenced all our lives over the last 30 years, and how many are saying it’s just the beginning of something even bigger…
We all need to know what he’s building and why, and most importantly, what he’s trying to build next, so you can decide for yourself what you think of it.
future era is beginning
Welcome to the second episode of our new series, Huge Conversations…
If you want to know what the most important people building the future are imagining it will look like, Huge Conversations is the show for you.
Actually here to improve my English and as you said to use chat gpt.and really chat gpt is helping to improve my english and i also enoyed your podcast
This interview was recorded at CES in Las Vegas on January 7th, 2025.
Watch our first episode of Huge Conversations with Mark Zuckerberg here: https://youtu.be/oX7OduG1YmI?si=mMTesn2gvBeRJmos
Thing is we don't know if Jensen knows that the plan for the other billionaires using ai is to enslave and rule humanity. But my bet is he knows.
Watch our trailer to understand more about the mission of Huge Conversations: https://youtu.be/JbKzSDfDdns?si=0PLbyG-RkFGqi9jQ
Chapters:
I thought this was another generic interview... Great video 💯
0:00 What is Jensen Huang trying to build?
1:40 The goal of this Huge Conversation
Nvidia employee here, 07:59 that watered down explanation for CUDA is top-notch.
3:40 How did we get here?
4:25 What is a GPU?
This kind of contents are really enjoying to listen
5:45 Why video games first?
7:59 What is CUDA?
Make more insightful podcasts with people like him!
Really loved it!
11:04 Why was AlexNet such a big deal?
15:40 Why are we hearing about AI so much now?
Those who know how to use AI effectively won’t be replaced by AI but be empowered by it.
19:33 What are NVIDIA’s core beliefs?
21:34 Why does this moment feel so different?
Both with leather jacket 😂
24:08 What’s the future of robots?
30:15 What is Jensen’s 10-year vision?
Case one : Having super AIs causes us to evolve into superhumans by increasing our learning efficiency and enhances our cognitive ability.
Case Two : Having super AIs causes us to be dumb and lazy cause we'll rely on AI to solve our problems and do everything for us
32:00 What are the biggest concerns?
35:14 What are the biggest limitations?
Ai is a scam plz world don't fall into the trap it's just a software company
38:05 How does NVIDIA make big bets on specific chips (transformers)?
42:33 How are chips made?
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44:19 What’s Jensen’s next bet?
47:20 How should people prepare for this future?
The transition from software writing software to physical AI in robotics is happening faster than anyone thinks
50:12 How does this affect people’s jobs?
52:37 GeForce RTX 50 Series and NVIDIA DGX
Jensen Huang's vision is always steps ahead. The future of robotics and generative AI is going to shift industries completely!"
55:50 What’s Jensen’s advice for the future?
59:07 How does Jensen want to be remembered?
"How did we get here?" is the most important question here as it's useful to learn from patterns rather than chasing trends.
You can find me on Instagram here: https://www.instagram.com/cleoabram
On TikTok here: https://www.tiktok.com/@cleoabram
Everything that moves will be robotic someday, and it will be soon" (goosebumps)
Or on Twitter here: https://twitter.com/cleoabram
Bio:
One of the best conversations I've listened to in a long time
Cleo Abram is a video journalist who produces Huge If True, an optimistic show about science and technology. Huge If True is an antidote to the doom and gloom, helping a wide audience see better futures they can help build. In each episode, Cleo dives deep into one innovation that could shape the future. She has explored humanoid robots at Boston Dynamics, supersonic planes at NASA, quantum computers at IBM, the Large Hadron Collider at CERN, and more. Every episode mixes high quality animations and detailed scripts with relatable vlog-style journeys, taking the audience along for an adventure to answer the question: If this works, what could go right? Previously, Cleo was a video producer at Vox and directed for Explained on Netflix. She was the host of Vox’s first ever daily show, Answered, as well as co-host of Vox’s YouTube Originals show, Glad You Asked.
Vox: https://www.vox.com/authors/cleo-abram
พวกคุณก็แค่เด็กขี้กลัวที่ไม่กล้าเผชิญหน้ากับจักวาลที่ล่ำหน้ากว่า
IMDb: https://www.imdb.com/name/nm10108242/
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❤🎉
Welcome to the joke down low:
Why does a GPU without CUDA wear glasses?
We needed aliens
Because it can’t C!
If you don’t get this joke yet, watch the rest of the episode!
Sorry for my disturbances
Find a way to use “C” in a comment to let me know you’re a real one who made it to the end of the description :)
It's cool, but it's disheartening to ignore the politics to be honest. Technology doesn't exist in a vacuum. People don't "mow lawns for fun" - they'll keep doing it if they can't afford this AI lawnmower. Many people also mow lawns as a job - something that this AI lawnmower will take away from them. I would also like to mention that we've been keeping large amounts of grass cropped for a long time already, using sheep, which benefits the land itself and uses far, far less energy and money. It feels like wilful ignorance to not be discussing appropriate applications of AI.
More User Perspectives
Nice podcast 🎉
@USAlphabetsproutshe realizes that video games made his company but now his company is literally making it almost impossible to build a reasonably priced gaming computer and he could care less
@chuckmaddox6725I love how she believed in him at the beginning😊
@BestVidsByStefanFantastic 😍
@techtalkenglish-o2b❤😂🎉
@Brook-n4uAsk him for a free 5090 pls.
@Your_DailyAK-47truly huge man
@WondeyeErmiasThis is quite informative. Jensen just mentioned the next big industries to invest in.
@BenedictMiritiPeople like him are why we need a worldwide Revolution against the economic elites of today. Despicable, careless fools.
@bogo7195Good day 🤐
@moltdaily30:21 The sparkle in his eyes when he talks about what he does! He is so passionate
@QoryuThis made me think that tech optimism could simply be a byproduct of knowledge and intelligence.
@Yingzhe-mi6TERRIBLE commercial Frequency
@d1amonddbw😊🥰🥰
@Mohamed_Amine_OuelhaziSuch a perfect timing for today’s age LMAO
@podcastcentral-clips젠슨황 공대는 서울대 보다 카이스트야. 다음 방문때에는 카이스트에 가보도록해
@장지연-jjynice podcast again👏
@JusB-d5xYou don't care about AI ! You only cared about money!! Very bad company
@MichelleGillis-t6nIs the algorithm in Hinge AI?
@Nammas12good
@poolllguyThis is so interesting! What made you think of this? 🤔
@AIVision-g4pNvidia is building important things but there's a catch : GPUs weren't built to be a AI chip so they're the best ones for this. The catch number 2 is CUDA lockdown - you cannot use on a non-Nvidia GPU.
@tehnolegens3687boss nvidia
@makgondrong557awesome video
@LearnInMinutesIn‘Optimist science’ on Al. 😂😂. We are engineering our erasure. But that won’t dampen Cleo’s excitement.
@user-pq7jj3vs3e