20VC: Andrew NG on The Biggest Bottlenecks in AI | How LLMs Can Be Used as a Geopolitical Weapon | Do Margins Matter in a World of AI? | Is Defensibility Dead in a World of AI? | Will AI Deliver Masa Son's Predictions of 5% GDP Growth?
Dr. Andrew Ng is a globally recognized leader in AI. He is Founder of DeepLearning.AI, Executive Chairman of LandingAI, General Partner at AI Fund, Chairman and Co-Founder of Coursera. As a pioneer in machine learning Andrew has authored or co-authored over 200 research papers in machine learning, robotics and related fields. In 2023, he was named to the Time100 AI list of the most influential AI persons in the world.
Agenda:
03:19 What are the Biggest Bottlenecks in AI Today?
08:51 How LLMs Can Be Used as a Geopolitical Weapon
15:48 Should AI Talent Really Be Paid Billions?
29:07 Why is the Application Layer the Most Exciting Layer?
36:22 Do Margins Matter in a World of AI?
38:02 Is Defensibility Dead in a World of AI?
45:29 Will AI Deliver Masa Son's Predictions of 5% GDP Growth?
49:39 Are We in an AI Bubble?
57:31 Will Human Labour Budgets Shift to AI Spend?
How Agentic AI is Transforming The Startup Landscape with Andrew Ng
Andrew Ng has always been at the bleeding edge of fast-evolving AI technologies, founding companies and projects like Google Brain, AI Fund, and DeepLearning.AI. So he knows better than anyone that founders who operate the same way in 2025 as they did in 2022 are doing it wrong. Sarah Guo and Elad Gil sit down with Andrew Ng, the godfather of the AI revolution, to discuss the rise of agentic AI, and how the technology has changed everything from what makes a successful founder to the value of small teams. They talk about where future capability growth may come from, the potential for models to bootstrap themselves, and why Andrew doesn’t like the term “vibe coding.” Also, Andrew makes the case for why everybody in an organization—not just the engineers—should learn to code.
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Chapters:
00:00 – Andrew Ng Introduction
00:32 – The Next Frontier for Capability Growth
01:29 – Andrew’s Definition of Agentic AI
02:44 – Obstacles to Building True Agents
06:09 – The Bleeding Edge of Agentic AI
08:12 – Will Models Bootstrap Themselves?
09:05 – Vibe Coding vs. AI Assisted Coding
09:56 – Is Vibe Coding Changing the Nature of Startups?
11:35 – Speeding Up Project Management
12:55 – The Evolution of the Successful Founder Profile
19:23 – Finding Great Product People
21:14 – Building for One User Profile vs. Many
22:47 – Requisites for Leaders and Teams in the AI Age
28:21 – The Value of Keeping Teams Small
32:13 – The Next Industry Transformations
34:04 – Future of Automation in Investing Firms and Incubators
37:39 – Technical People as First Time Founders
41:08– Broad Impact of AI Over the Next 5 Years
41:49 – Conclusion
841: Andrew Ng on AI Vision, Agents and Business Value
In this special episode recorded live at ScaleUp:AI in New York, Jon Krohn speaks to Andrew Ng in response to his conference talk on smart agentic AI workflows. Jon follows up with Andrew about smart agentic workflows and when to use them, how businesses should direct their efforts in investing in AI, and the new ways that AI tools can process visual and unstructured data.
Interested in sponsoring a SuperDataScience Podcast episode? Email natalie@superdatascience.com for sponsorship information.
In this episode you will learn:
(06:13) How to weigh up cost and effectiveness in new AI workflows
(12:08) The crucial elements for building effective vision AI applications
(15:34) How large vision models might transform global industries
(18:40) How to mitigate risk in people not verifying accuracy in answers generated by agents
Additional materials: www.superdatascience.com/841
The Implications of AI on the Global Balance of Power with Alex Wang, Andrew Ng, Jack Clark and Cory Booker
Tune in to today's special episode airing a recent panel with the founders of Scale AI, Anthropic, and AI Fund who gathered in Washington DC to discuss China as an adversary. They argue that the papers out of Tsinghua University are just as impressive as those coming out of American universities. China is just as creative, but maybe even more motivated. While discussions of regulations have encompassed certain restraints, Alex Wang, Andrew Ng, and Jack Clark argue that we’re not moving fast enough (moderated by US senator Cory Booker).
This session was recorded live at The Hill & Valley Forum in 2024, a private bipartisan community of lawmakers and innovators committed to harnessing the power of technology to address America's most pressing national security challenges. The Hill & Valley podcast is part of the Turpentine podcast network. Learn more: www.turpentine.co
🔥 Apply to join over 400 founders and Execs in the Turpentine Network: https://hmplogxqz0y.typeform.com/to/JCkphVqj
RECOMMENDED PODCAST - The Riff with Byrne Hobart
Byrne Hobart, the writer of The Diff, is revered in Silicon Valley. You can get an hour with him each week. See for yourself how his thinking can upgrade yours.
Spotify: https://open.spotify.com/show/6rANlV54GCARLgMOtpkzKt
Apple: https://podcasts.apple.com/us/podcast/the-riff-with-byrne-hobart-and-erik-torenberg/id1716646486
SPONSORS:
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CHAPTERS:
(00:00) Intro
(03:29) Assembling the founders of Anthropic, Scale AI, and AI Fund
(04:45) Predictions for AGI
(08:21) Navigating AI innovation amidst regulation
(16:15) Global AI competition and the urgency of Innovation
(24:34) Empowering future generations
He created Stanford's Deep Learning class. Programmers will need to learn faster
Along with his work at Stanford, Katanforoosh is a founding member of deeplearning.ai and co-created the Deep Learning Specialization on Coursera.
He believes the rapidly expanding capabilities of AI will mean that humans, and especially programmers, will need to learn new skills faster than ever. This doesn't mean machines are going to take our jobs. Rather, with the assistance of AI, humans will become far more capable, learning faster and mastering more domains.
Not surprisingly, Katanforoosh has built his business with the goal of addressing this issue. Workera aims to help companies identify where their employees lack skills and provide them with personalized instruction that can quickly bring them up to the next level.
You can find Kian on Twitter, LinkedIn, and Stanford's website.
Thanks to Stack Overflow user PaxDiablo, who was awarded a Life Boat badge for providing a great answer to the question: Given a month in numeric form, how do you find the first month of its respective quarter?
See Privacy Policy at https://art19.com/privacy and California Privacy Notice at https://art19.com/privacy#do-not-sell-my-info.
#131 Andrew Ng: Exploring Artificial Intelligence's Potential & Threats
Welcome to episode #131 of the Eye on AI podcast with Andrew Ng. Get ready to challenge your perspectives as we sit down with Andrew Ng. We navigate the widely disputed topic of AI as a potential existential threat, with Andrew assuring us that, with time and global cooperation, safety measures can be built to prevent disaster. He offers insight into the debates surrounding the harm AI might cause, including the notions of AI as a bio-weapon and the notorious 'paper clip argument'. Listen as Andrew debunks these theories, delivering an interesting argument for why he believes the associated risks are minimal.Onwards, we venture into the intriguing realm of AI's capability to understand the world, setting the stage for a conversation on how we can objectively assess their comprehension. We explore the safety measures of AI, drawing parallels with the rigour of the aviation industry, and contemplate on the consensus within the research community regarding the danger posed by AI. (00:00) Preview (01:08) Introduction (02:15) Existential risk of artificial intelligence (05:50) Aviation analogy with artificial intelligence (10:00) The threat of AI & deep learning (13:15) Lack of consensus in AI dangers (18:00) How AI can solve climate change (24:00) Landing AI and Andrew Ng (27:30) Visual prompting for images Craig Smith Twitter: https://twitter.com/craigss Eye on A.I. Twitter: https://twitter.com/EyeOn_AI
Our sponsor for this episode is Masterworks, an art investing platform. They buy the art outright, from contemporary masters like Picasso and Banksy, then qualify it with the SEC, and offer it as an investment. Net proceeds from its sale are distributed to its investors. Since their inception, they have sold over $45 million dollars worth of artwork And so far, each of Masterworks' exits have returned positive net returns to their investors.
Masterworks has over 750,000 users, and their art offerings usually sell out in hours, which is why they've had to make a waitlist.
But Eye on AI viewers can skip the line and get priority access right now by clicking this link: https://www.masterworks.art/eyeonai
Purchase shares in great masterpieces from artists like Pablo Picasso, Banksy, Andy Warhol, and more. See important Masterworks disclosures: https://www.masterworks.com/cd "Net Return" refers to the annualized internal rate of return net of all fees and costs, calculated from the offering closing date to the date the sale is consummated. IRR may not be indicative of Masterworks paintings not yet sold and past performance is not indicative of future results. Returns shown are 4 examples of midrange returns selected to demonstrate Masterworks performance history. Returns may be higher or lower. Investing involves risk, including loss of principal.
How AI could empower any business | Andrew Ng
Expensive to build and often needing highly skilled engineers to maintain, artificial intelligence systems generally only pay off for large tech companies with vast amounts of data. But what if your local pizza shop could use AI to predict which flavor would sell best each day of the week? Andrew Ng shares a vision for democratizing access to AI, empowering any business to make decisions that will increase their profit and productivity. Learn how we could build a richer society – all with just a few self-provided data points.
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605: Upskilling in Data Science and Machine Learning
Kian Katanforoosh, CEO of Workera and Lecturer at Stanford University, joins Jon Krohn to reveal the tools, frameworks, and machine learning models that power his platform and remote team.
In this episode you will learn:
• What a skills intelligence platform is [3:11]
• How mentorship can be life-changing [7:45]
• Four ways that ML drives Kian’s skills intelligence platform [10:57]
• Kian's day-to-day responsibilities as the CEO of Workera [21:00]
• What frameworks and software languages Kian and his team selected for building their platform and why [24:20]
• What Kian looks for in the data scientists and software engineers he hires [31:48]
• Kian’s Stanford Deep Learning class and mentors [34:58]
• How Kian’s passion for EdTech began [42:47]
Additional materials: www.superdatascience.com/605
Andrew Ng
Andrew Ng, founder of Google Brain, Coursera and Landing AI, talks about his vision of data-centric AI, MLOps and the future of supervised vs unsupervised learning. The Eye on AI podcast is sponsored by ClearML.
#73 – Andrew Ng: Deep Learning, Education, and Real-World AI
Andrew Ng is one of the most impactful educators, researchers, innovators, and leaders in artificial intelligence and technology space in general. He co-founded Coursera and Google Brain, launched deeplearning.ai, Landing.ai, and the AI fund, and was the Chief Scientist at Baidu. As a Stanford professor, and with Coursera and deeplearning.ai, he has helped educate and inspire millions of students including me.
EPISODE LINKS:
Andrew Twitter: https://twitter.com/AndrewYNg
Andrew Facebook: https://www.facebook.com/andrew.ng.96
Andrew LinkedIn: https://www.linkedin.com/in/andrewyng/
deeplearning.ai: https://www.deeplearning.ai
landing.ai: https://landing.ai
AI Fund: https://aifund.ai/
AI for Everyone: https://www.coursera.org/learn/ai-for-everyone
The Batch newsletter: https://www.deeplearning.ai/thebatch/
This conversation is part of the Artificial Intelligence podcast. If you would like to get more information about this podcast go to https://lexfridman.com/ai or connect with @lexfridman on Twitter, LinkedIn, Facebook, Medium, or YouTube where you can watch the video versions of these conversations. If you enjoy the podcast, please rate it 5 stars on Apple Podcasts, follow on Spotify, or support it on Patreon.
This episode is presented by Cash App. Download it (App Store, Google Play), use code “LexPodcast”.
This episode is also supported by the Techmeme Ride Home podcast. Get it on Apple Podcasts, on its website, or find it by searching “Ride Home” in your podcast app.
Here’s the outline of the episode. On some podcast players you should be able to click the timestamp to jump to that time.
OUTLINE:
00:00 – Introduction
02:23 – First few steps in AI
05:05 – Early days of online education
16:07 – Teaching on a whiteboard
17:46 – Pieter Abbeel and early research at Stanford
23:17 – Early days of deep learning
32:55 – Quick preview: deeplearning.ai, landing.ai, and AI fund
33:23 – deeplearning.ai: how to get started in deep learning
45:55 – Unsupervised learning
49:40 – deeplearning.ai (continued)
56:12 – Career in deep learning
58:56 – Should you get a PhD?
1:03:28 – AI fund – building startups
1:11:14 – Landing.ai – growing AI efforts in established companies
1:20:44 – Artificial general intelligence
Live from TWIMLcon! Overcoming the Barriers to Deep Learning in Production with Andrew Ng - #304
Earlier today, Andrew Ng joined us onstage at TWIMLcon - as the Founder and CEO of Landing AI and founding lead of Google Brain, Andrew is no stranger to knowing what it takes for AI and machine learning to be successful. Hear about the work that Landing AI is doing to help organizations adopt modern AI, his experience in overcoming challenges for large companies, how enterprises can get the most value for their ML investment as well as addressing the ‘essential complexity’ of software engineering.
Ep. 32: Deep Learning Pioneer Andrew Ng on AI as the New Electricity
Purple shirts, haircuts, and cats. How are these three all related? According to deep learning pioneer Andrew Ng, they all played a part in AI’s growing presence in our lives. Ng, formerly of Google and Baidu, and the founder of his new company, Deeplearning.ai, joined this week’s episode of the AI Podcast to share his thoughts on AI being the new electricity.
